- API reference
- pandas arrays, scalars, and data types
- pandas.api.t...
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.
Examples
>>>frompandas.api.typesimportis_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
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