pandas.api.types.is_datetime64_ns_dtype — pandas 2.2.3 documentation (original) (raw)

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_dtypearray-like or dtype

The array or dtype to check.

Returns:

bool

Whether or not the array or dtype is of the datetime64[ns] dtype.

Examples

from pandas.api.types import is_datetime64_ns_dtype from pandas.core.dtypes.dtypes import DatetimeTZDtype 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="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="datetime64[ns]")) True