pandas.api.types.is_extension_type¶
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pandas.api.types.
is_extension_type
(arr)[source]¶ Check whether an array-like is of a pandas extension class instance.
Extension classes include categoricals, pandas sparse objects (i.e. classes represented within the pandas library and not ones external to it like scipy sparse matrices), and datetime-like arrays.
Parameters: arr : array-like
The array-like to check.
Returns: boolean : Whether or not the array-like is of a pandas
extension class instance.
Examples
>>> is_extension_type([1, 2, 3]) False >>> is_extension_type(np.array([1, 2, 3])) False >>> >>> cat = pd.Categorical([1, 2, 3]) >>> >>> is_extension_type(cat) True >>> is_extension_type(pd.Series(cat)) True >>> is_extension_type(pd.SparseArray([1, 2, 3])) True >>> is_extension_type(pd.SparseSeries([1, 2, 3])) True >>> >>> from scipy.sparse import bsr_matrix >>> is_extension_type(bsr_matrix([1, 2, 3])) False >>> is_extension_type(pd.DatetimeIndex([1, 2, 3])) False >>> is_extension_type(pd.DatetimeIndex([1, 2, 3], tz="US/Eastern")) True >>> >>> dtype = DatetimeTZDtype("ns", tz="US/Eastern") >>> s = pd.Series([], dtype=dtype) >>> is_extension_type(s) True