# pandas.api.types.is_datetime64_ns_dtype

`pandas.api.types.``is_datetime64_ns_dtype`(arr_or_dtype)

  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

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