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# pandas.api.types.is_datetime64_dtype

pandas.api.types.is_datetime64_dtype(arr_or_dtype)

  Check whether an array-like or dtype is of the datetime64 dtype.

  This function checks for the base `datetime64` dtype without regard to timezone information. For timezone-aware checks, use `api.types.is_datetime64_any_dtype()` instead.

  Parameters:
    arr_or_dtype array-like or dtype

      The array-like or dtype to check.

  Returns:
    boolean

      Whether or not the array-like or dtype is of the datetime64 dtype.

  See also

  `api.types.is_datetime64_ns_dtype`

    Check whether the provided array or dtype is of the datetime64[ns] dtype.

  `api.types.is_datetime64_any_dtype`

    Check whether the provided array or dtype is of the datetime64 dtype.

  Examples

      >>> from pandas.api.types import is_datetime64_dtype
      >>> is_datetime64_dtype(object)
      False
      >>> is_datetime64_dtype(np.datetime64)
      True
      >>> is_datetime64_dtype(np.array([], dtype=int))
      False
      >>> is_datetime64_dtype(np.array([], dtype=np.datetime64))
      True
      >>> is_datetime64_dtype([1, 2, 3])
      False