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BUG/ENH: infer_freq with non-nano #50611

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Merged
merged 2 commits into from
Jan 12, 2023
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BUG/ENH: infer_freq with non-nano #50611

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27964b2
BUG/ENH: infer_freq with non-nano
jbrockmendel Jan 6, 2023
8985330
update test
jbrockmendel Jan 12, 2023
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10 changes: 10 additions & 0 deletions pandas/tests/tseries/frequencies/test_inference.py
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Original file line number Diff line number Diff line change
Expand Up @@ -527,3 +527,13 @@ def test_infer_freq_non_nano():
tda = TimedeltaArray._simple_new(arr2, dtype=arr2.dtype)
res2 = frequencies.infer_freq(tda)
assert res2 == "L"


def test_infer_freq_non_nano_tzaware(tz_aware_fixture):
tz = tz_aware_fixture

dti = date_range("2016-01-01", periods=365, freq="B", tz=tz)
dta = dti._data.as_unit("s")

res = frequencies.infer_freq(dta)
assert res == "B"
6 changes: 4 additions & 2 deletions pandas/tseries/frequencies.py
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Expand Up @@ -200,7 +200,9 @@ def __init__(self, index) -> None:
# the timezone so they are in local time
if hasattr(index, "tz"):
if index.tz is not None:
self.i8values = tz_convert_from_utc(self.i8values, index.tz)
self.i8values = tz_convert_from_utc(
self.i8values, index.tz, reso=self._creso
)

if len(index) < 3:
raise ValueError("Need at least 3 dates to infer frequency")
Expand Down Expand Up @@ -395,7 +397,7 @@ def _is_business_daily(self) -> bool:

# probably business daily, but need to confirm
first_weekday = self.index[0].weekday()
shifts = np.diff(self.index.asi8)
shifts = np.diff(self.i8values)
ppd = periods_per_day(self._creso)
shifts = np.floor_divide(shifts, ppd)
weekdays = np.mod(first_weekday + np.cumsum(shifts), 7)
Expand Down