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