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# pandas.api.types.is_timedelta64_dtype

pandas.api.types.is_timedelta64_dtype(arr_or_dtype)

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

  This function checks if the provided array-like object or dtype corresponds to a timedelta64 dtype, which is used to represent differences between two datetime values.

  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 timedelta64 dtype.

  See also

  `api.types.is_timedelta64_ns_dtype`

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

  `api.types.is_period_dtype`

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

  Examples

      >>> from pandas.api.types import is_timedelta64_dtype
      >>> is_timedelta64_dtype(object)
      False
      >>> is_timedelta64_dtype(np.timedelta64)
      True
      >>> is_timedelta64_dtype([1, 2, 3])
      False
      >>> is_timedelta64_dtype(pd.Series([], dtype="timedelta64[ns]"))
      True
      >>> is_timedelta64_dtype("0 days")
      False