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