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BUG: DatetimeIndex with non-nano values and freq='D' throws ValueError #50773

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Merged
jbrockmendel merged 3 commits into from
Jan 17, 2023
Merged

BUG: DatetimeIndex with non-nano values and freq='D' throws ValueError #50773

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279cbb2
pass unit to validate_frequency
Jan 16, 2023
453553c
Merge remote-tracking branch 'upstream/main' into non-nano-freq
Jan 17, 2023
4f152fc
set unit within _validate_frequency
Jan 17, 2023
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7 changes: 6 additions & 1 deletion pandas/core/arrays/datetimelike.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1897,7 +1897,12 @@ def _validate_frequency(cls, index, freq, **kwargs):

try:
on_freq = cls._generate_range(
start=index[0], end=None, periods=len(index), freq=freq, **kwargs
start=index[0],
end=None,
periods=len(index),
freq=freq,
unit=index.unit,
**kwargs,
)
if not np.array_equal(index.asi8, on_freq.asi8):
raise ValueError
Expand Down
12 changes: 12 additions & 0 deletions pandas/tests/frame/methods/test_asfreq.py
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Original file line number Diff line number Diff line change
Expand Up @@ -17,6 +17,10 @@


class TestAsFreq:
@pytest.fixture(params=["s", "ms", "us", "ns"])
def unit(self, request):
return request.param

def test_asfreq2(self, frame_or_series):
ts = frame_or_series(
[0.0, 1.0, 2.0],
Expand Down Expand Up @@ -197,3 +201,11 @@ def test_asfreq_with_unsorted_index(self, frame_or_series):

result = result.asfreq("D")
tm.assert_equal(result, expected)

def test_asfreq_after_normalize(self, unit):
# https://github.com/pandas-dev/pandas/issues/50727
result = DatetimeIndex(
date_range("2000", periods=2).as_unit(unit).normalize(), freq="D"
)
expected = DatetimeIndex(["2000-01-01", "2000-01-02"], freq="D").as_unit(unit)
tm.assert_index_equal(result, expected)