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3 files changed

+16
-4
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3 files changed

+16
-4
lines changed

pandas/core/generic.py

+8-2
Original file line numberDiff line numberDiff line change
@@ -6032,7 +6032,10 @@ def _convert(
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validate_bool_kwarg(timedelta, "timedelta")
60336033
return self._constructor(
60346034
self._mgr.convert(
6035-
datetime=datetime, numeric=numeric, timedelta=timedelta, copy=True,
6035+
datetime=datetime,
6036+
numeric=numeric,
6037+
timedelta=timedelta,
6038+
copy=True,
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)
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).__finalize__(self)
60386041

@@ -6882,7 +6885,10 @@ def replace(
68826885
f"Expecting {len(to_replace)} got {len(value)} "
68836886
)
68846887
new_data = self._mgr.replace_list(
6885-
src_list=to_replace, dest_list=value, inplace=inplace, regex=regex,
6888+
src_list=to_replace,
6889+
dest_list=value,
6890+
inplace=inplace,
6891+
regex=regex,
68866892
)
68876893

68886894
elif to_replace is None:

pandas/tests/groupby/test_categorical.py

+2-1
Original file line numberDiff line numberDiff line change
@@ -1446,7 +1446,8 @@ def test_series_groupby_categorical_aggregation_getitem():
14461446

14471447

14481448
@pytest.mark.parametrize(
1449-
"func, expected_values", [(Series.nunique, [1, 1, 2]), (Series.count, [1, 2, 2])],
1449+
"func, expected_values",
1450+
[(Series.nunique, [1, 1, 2]), (Series.count, [1, 2, 2])],
14501451
)
14511452
def test_groupby_agg_categorical_columns(func, expected_values):
14521453
# 31256

pandas/tests/groupby/transform/test_transform.py

+6-1
Original file line numberDiff line numberDiff line change
@@ -472,7 +472,12 @@ def test_groupby_transform_with_int():
472472

473473
# int case
474474
df = DataFrame(
475-
{"A": [1, 1, 1, 2, 2, 2], "B": 1, "C": [1, 2, 3, 1, 2, 3], "D": "foo",}
475+
{
476+
"A": [1, 1, 1, 2, 2, 2],
477+
"B": 1,
478+
"C": [1, 2, 3, 1, 2, 3],
479+
"D": "foo",
480+
}
476481
)
477482
with np.errstate(all="ignore"):
478483
result = df.groupby("A").transform(lambda x: (x - x.mean()) / x.std())

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