pandas.api.types.is_bool_dtype — pandas 3.0.0.dev0+2099.g3832e85779 documentation (original) (raw)

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

Check whether the provided array or dtype is of a boolean dtype.

This function verifies whether a given object is a boolean data type. The input can be an array or a dtype object. Accepted array types include instances of np.array, pd.Series, pd.Index, and similar array-like structures.

Parameters:

arr_or_dtypearray-like or dtype

The array or dtype to check.

Returns:

boolean

Whether or not the array or dtype is of a boolean dtype.

See also

api.types.is_bool

Check if an object is a boolean.

Notes

An ExtensionArray is considered boolean when the _is_booleanattribute is set to True.

Examples

from pandas.api.types import is_bool_dtype is_bool_dtype(str) False is_bool_dtype(int) False is_bool_dtype(bool) True is_bool_dtype(np.bool_) True is_bool_dtype(np.array(["a", "b"])) False is_bool_dtype(pd.Series([1, 2])) False is_bool_dtype(np.array([True, False])) True is_bool_dtype(pd.Categorical([True, False])) True is_bool_dtype(pd.arrays.SparseArray([True, False])) True