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BUG: is_bool_dtype raises AttributeError when checking categorical Series #45616

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Merged
merged 6 commits into from
Jan 31, 2022
Merged

BUG: is_bool_dtype raises AttributeError when checking categorical Series #45616

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2827637
Add categorical Series to test_is_bool_dtype
Jan 25, 2022
d96c7ca
Fix is_bool_dtype to work with categorical Series
Jan 25, 2022
c83c22f
Add record of bugfix to v1.4.1 release notes
Jan 25, 2022
044ed4d
Add test case using boolean categorical Series for is_bool_dtype
Jan 28, 2022
dcf2b46
Correct function reference in whatsnew docs
Jan 28, 2022
a93e880
Merge remote-tracking branch 'upstream/main' into 45615-is-bool-dtypp…
Jan 31, 2022
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2 changes: 1 addition & 1 deletion doc/source/whatsnew/v1.4.1.rst
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Expand Up @@ -31,7 +31,7 @@ Bug fixes
- Fixed segfault in :meth:``DataFrame.to_json`` when dumping tz-aware datetimes in Python 3.10 (:issue:`42130`)
- Stopped emitting unnecessary ``FutureWarning`` in :meth:`DataFrame.sort_values` with sparse columns (:issue:`45618`)
- Fixed window aggregations in :meth:`DataFrame.rolling` and :meth:`Series.rolling` to skip over unused elements (:issue:`45647`)
-
- Bug in :func:`api.types.is_bool_dtype` was raising an ``AttributeError`` when evaluating a categorical :class:`Series` (:issue:`45615`)

.. ---------------------------------------------------------------------------

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2 changes: 1 addition & 1 deletion pandas/core/dtypes/common.py
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Expand Up @@ -1319,7 +1319,7 @@ def is_bool_dtype(arr_or_dtype) -> bool:
return False

if isinstance(dtype, CategoricalDtype):
arr_or_dtype = arr_or_dtype.categories
arr_or_dtype = dtype.categories
# now we use the special definition for Index

if isinstance(arr_or_dtype, ABCIndex):
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2 changes: 2 additions & 0 deletions pandas/tests/dtypes/test_common.py
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Expand Up @@ -562,12 +562,14 @@ def test_is_bool_dtype():
assert not com.is_bool_dtype(int)
assert not com.is_bool_dtype(str)
assert not com.is_bool_dtype(pd.Series([1, 2]))
assert not com.is_bool_dtype(pd.Series(["a", "b"], dtype="category"))
assert not com.is_bool_dtype(np.array(["a", "b"]))
assert not com.is_bool_dtype(pd.Index(["a", "b"]))
assert not com.is_bool_dtype("Int64")

assert com.is_bool_dtype(bool)
assert com.is_bool_dtype(np.bool_)
assert com.is_bool_dtype(pd.Series([True, False], dtype="category"))
assert com.is_bool_dtype(np.array([True, False]))
assert com.is_bool_dtype(pd.Index([True, False]))

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