pandas.api.types.is_datetime64_dtype#
- pandas.api.types.is_datetime64_dtype(arr_or_dtype)[source]#
Check whether an array-like or dtype is of the datetime64 dtype.
- Parameters:
- arr_or_dtypearray-like or dtype
The array-like or dtype to check.
- Returns:
- boolean
Whether or not the array-like or dtype is of the datetime64 dtype.
See also
api.types.is_datetime64_ns_dtype
Check whether the provided array or dtype is of the datetime64[ns] dtype.
api.types.is_datetime64_any_dtype
Check whether the provided array or dtype is of the datetime64 dtype.
Examples
>>> from pandas.api.types import is_datetime64_dtype >>> is_datetime64_dtype(object) False >>> is_datetime64_dtype(np.datetime64) True >>> is_datetime64_dtype(np.array([], dtype=int)) False >>> is_datetime64_dtype(np.array([], dtype=np.datetime64)) True >>> is_datetime64_dtype([1, 2, 3]) False