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# pandas.api.types.is_bool_dtype

pandas.api.types.is_bool_dtype(arr_or_dtype)

  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_dtype array-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_boolean` attribute 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