pandas.api.types.is_extension_array_dtype — pandas 2.2.3 documentation (original) (raw)

pandas.api.types.is_extension_array_dtype(arr_or_dtype)[source]#

Check if an object is a pandas extension array type.

See the Use Guide for more.

Parameters:

arr_or_dtypeobject

For array-like input, the .dtype attribute will be extracted.

Returns:

bool

Whether the arr_or_dtype is an extension array type.

Notes

This checks whether an object implements the pandas extension array interface. In pandas, this includes:

• Categorical
• Sparse
• Interval
• Period
• DatetimeArray
• TimedeltaArray

Third-party libraries may implement arrays or types satisfying this interface as well.

Examples

from pandas.api.types import is_extension_array_dtype arr = pd.Categorical(['a', 'b']) is_extension_array_dtype(arr) True is_extension_array_dtype(arr.dtype) True

arr = np.array(['a', 'b']) is_extension_array_dtype(arr.dtype) False