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DOC: add SA01 for pandas.api.types.is_extension_array_dtype #59215

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1 change: 0 additions & 1 deletion ci/code_checks.sh
Original file line number Diff line number Diff line change
Expand Up @@ -297,7 +297,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
-i "pandas.api.types.is_datetime64_ns_dtype SA01" \
-i "pandas.api.types.is_datetime64tz_dtype SA01" \
-i "pandas.api.types.is_dict_like PR07,SA01" \
-i "pandas.api.types.is_extension_array_dtype SA01" \
-i "pandas.api.types.is_file_like PR07,SA01" \
-i "pandas.api.types.is_float PR01,SA01" \
-i "pandas.api.types.is_float_dtype SA01" \
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6 changes: 6 additions & 0 deletions pandas/core/dtypes/common.py
Original file line number Diff line number Diff line change
Expand Up @@ -1327,6 +1327,12 @@ def is_extension_array_dtype(arr_or_dtype) -> bool:
Third-party libraries may implement arrays or types satisfying
this interface as well.

See Also
--------
pandas.api.types.is_string_dtype : Check whether the provided array or dtype is of the string dtype.
pandas.api.types.is_float_dtype : Check whether the provided array or dtype is of a float dtype.
pandas.api.types.is_integer_dtype : Check whether the provided array or dtype is of an integer dtype.

Examples
--------
>>> from pandas.api.types import is_extension_array_dtype
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