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Make infer_freq accept Series of timezone-aware Timestamps #52528

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Merged
merged 2 commits into from
Apr 10, 2023
Merged

Make infer_freq accept Series of timezone-aware Timestamps #52528

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92e4935
Make `infer_freq` accept `Series` of timezone-aware timestamps
cai-lw Apr 7, 2023
e7232b1
Update pandas/tests/tseries/frequencies/test_inference.py
mroeschke Apr 10, 2023
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2 changes: 1 addition & 1 deletion doc/source/whatsnew/v2.1.0.rst
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Original file line number Diff line number Diff line change
Expand Up @@ -229,7 +229,7 @@ Timedelta

Timezones
^^^^^^^^^
-
- Bug in :func:`infer_freq` that raises ``TypeError`` for ``Series`` of timezone-aware timestamps (:issue:`52456`)
-

Numeric
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9 changes: 9 additions & 0 deletions pandas/tests/tseries/frequencies/test_inference.py
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Expand Up @@ -236,6 +236,15 @@ def test_infer_freq_tz(tz_naive_fixture, expected, dates):
assert idx.inferred_freq == expected


def test_infer_freq_tz_series(tz_naive_fixture):
# infer_freq should work with both tz-naive and tz-aware series. See gh-52456
tz = tz_naive_fixture
idx = date_range("2021-01-01", "2021-01-04", tz=tz)
series = idx.to_series().reset_index(drop=True)
inferred_freq = frequencies.infer_freq(series)
assert inferred_freq == "D"


@pytest.mark.parametrize(
"date_pair",
[
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4 changes: 3 additions & 1 deletion pandas/tseries/frequencies.py
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Expand Up @@ -32,6 +32,7 @@

from pandas.core.dtypes.common import (
is_datetime64_dtype,
is_datetime64tz_dtype,
is_numeric_dtype,
is_timedelta64_dtype,
)
Expand Down Expand Up @@ -120,7 +121,7 @@ def infer_freq(

Parameters
----------
index : DatetimeIndex or TimedeltaIndex
index : DatetimeIndex, TimedeltaIndex, Series or array-like
If passed a Series will use the values of the series (NOT THE INDEX).

Returns
Expand Down Expand Up @@ -150,6 +151,7 @@ def infer_freq(
values = index._values
if not (
is_datetime64_dtype(values)
or is_datetime64tz_dtype(values)
or is_timedelta64_dtype(values)
or values.dtype == object
):
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