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# pandas.api.types.is_timedelta64_ns_dtype

pandas.api.types.is_timedelta64_ns_dtype(arr_or_dtype)

  Check whether the provided array or dtype is of the timedelta64[ns] dtype.

  This is a very specific dtype, so generic ones like np.timedelta64 will return False if passed into this function.

  Parameters:
    arr_or_dtype array-like or dtype

      The array or dtype to check.

  Returns:
    boolean

      Whether or not the array or dtype is of the timedelta64[ns] dtype.

  See also

  `api.types.is_timedelta64_dtype`

    Check whether an array-like or dtype is of the timedelta64 dtype.

  Examples

      >>> from pandas.api.types import is_timedelta64_ns_dtype
      >>> is_timedelta64_ns_dtype(np.dtype("m8[ns]"))
      True
      >>> is_timedelta64_ns_dtype(np.dtype("m8[ps]"))  # Wrong frequency
      False
      >>> is_timedelta64_ns_dtype(np.array([1, 2], dtype="m8[ns]"))
      True
      >>> is_timedelta64_ns_dtype(np.array([1, 2], dtype="m8"))
      False