pandas.api.types.is_datetime64_ns_dtype¶
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pandas.api.types.
is_datetime64_ns_dtype
(arr_or_dtype)[source]¶ Check whether the provided array or dtype is of the datetime64[ns] dtype.
Parameters: arr_or_dtype : array-like
The array or dtype to check.
Returns: - boolean : Whether or not the array or dtype is of the datetime64[ns] dtype.
Examples
>>> is_datetime64_ns_dtype(str) False >>> is_datetime64_ns_dtype(int) False >>> is_datetime64_ns_dtype(np.datetime64) # no unit False >>> is_datetime64_ns_dtype(DatetimeTZDtype("ns", "US/Eastern")) True >>> is_datetime64_ns_dtype(np.array(['a', 'b'])) False >>> is_datetime64_ns_dtype(np.array([1, 2])) False >>> is_datetime64_ns_dtype(np.array([], dtype=np.datetime64)) # no unit False >>> is_datetime64_ns_dtype(np.array([], dtype="datetime64[ps]")) # wrong unit False >>> is_datetime64_ns_dtype(pd.DatetimeIndex([1, 2, 3], dtype=np.datetime64)) # has 'ns' unit True