pandas.api.types.is_string_dtype#
- pandas.api.types.is_string_dtype(arr_or_dtype)[source]#
Check whether the provided array or dtype is of the string dtype.
If an array is passed with an object dtype, the elements must be inferred as strings.
- Parameters:
- arr_or_dtypearray-like or dtype
The array or dtype to check.
- Returns:
- boolean
Whether or not the array or dtype is of the string dtype.
See also
api.types.is_string_dtype
Check whether the provided array or dtype is of the string dtype.
Examples
>>> from pandas.api.types import is_string_dtype >>> is_string_dtype(str) True >>> is_string_dtype(object) True >>> is_string_dtype(int) False >>> is_string_dtype(np.array(["a", "b"])) True >>> is_string_dtype(pd.Series([1, 2])) False >>> is_string_dtype(pd.Series([1, 2], dtype=object)) False