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Backport PR #56184 on branch 2.1.x (BUG: mode not preserving object dtype for string option) #56383

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Dec 7, 2023
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1 change: 1 addition & 0 deletions doc/source/whatsnew/v2.1.4.rst
Original file line number Diff line number Diff line change
Expand Up @@ -31,6 +31,7 @@ Bug fixes
- Fixed bug in :meth:`DataFrame.to_hdf` raising when columns have ``StringDtype`` (:issue:`55088`)
- Fixed bug in :meth:`Index.insert` casting object-dtype to PyArrow backed strings when ``infer_string`` option is set (:issue:`55638`)
- Fixed bug in :meth:`Series.__ne__` resulting in False for comparison between ``NA`` and string value for ``dtype="string[pyarrow_numpy]"`` (:issue:`56122`)
- Fixed bug in :meth:`Series.mode` not keeping object dtype when ``infer_string`` is set (:issue:`56183`)
- Fixed bug in :meth:`Series.str.split` and :meth:`Series.str.rsplit` when ``pat=None`` for :class:`ArrowDtype` with ``pyarrow.string`` (:issue:`56271`)
- Fixed bug in :meth:`Series.str.translate` losing object dtype when string option is set (:issue:`56152`)
-
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6 changes: 5 additions & 1 deletion pandas/core/series.py
Original file line number Diff line number Diff line change
Expand Up @@ -2218,7 +2218,11 @@ def mode(self, dropna: bool = True) -> Series:

# Ensure index is type stable (should always use int index)
return self._constructor(
res_values, index=range(len(res_values)), name=self.name, copy=False
res_values,
index=range(len(res_values)),
name=self.name,
copy=False,
dtype=self.dtype,
).__finalize__(self, method="mode")

def unique(self) -> ArrayLike: # pylint: disable=useless-parent-delegation
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10 changes: 10 additions & 0 deletions pandas/tests/series/test_reductions.py
Original file line number Diff line number Diff line change
Expand Up @@ -29,6 +29,16 @@ def test_mode_extension_dtype(as_period):
tm.assert_series_equal(res, ser)


def test_mode_infer_string():
# GH#56183
pytest.importorskip("pyarrow")
ser = Series(["a", "b"], dtype=object)
with pd.option_context("future.infer_string", True):
result = ser.mode()
expected = Series(["a", "b"], dtype=object)
tm.assert_series_equal(result, expected)


def test_reductions_td64_with_nat():
# GH#8617
ser = Series([0, pd.NaT], dtype="m8[ns]")
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2 changes: 1 addition & 1 deletion pandas/tests/test_algos.py
Original file line number Diff line number Diff line change
Expand Up @@ -2102,7 +2102,7 @@ def test_timedelta_mode(self):
tm.assert_series_equal(ser.mode(), exp)

def test_mixed_dtype(self):
exp = Series(["foo"])
exp = Series(["foo"], dtype=object)
ser = Series([1, "foo", "foo"])
tm.assert_numpy_array_equal(algos.mode(ser.values), exp.values)
tm.assert_series_equal(ser.mode(), exp)
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