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

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.

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