pandas.api.types.is_datetime64_ns_dtype#

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

>>>frompandas.api.typesimportis_datetime64_ns_dtype>>>frompandas.core.dtypes.dtypesimportDatetimeTZDtype>>>is_datetime64_ns_dtype(str)False>>>is_datetime64_ns_dtype(int)False>>>is_datetime64_ns_dtype(np.datetime64)# no unitFalse>>>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 unitFalse>>>is_datetime64_ns_dtype(np.array([],dtype="datetime64[ps]"))# wrong unitFalse>>>is_datetime64_ns_dtype(pd.DatetimeIndex([1,2,3],dtype="datetime64[ns]"))True