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. 
 
 - 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