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# pandas.TimedeltaIndex.to_pytimedelta

TimedeltaIndex.to_pytimedelta()

  Return an ndarray of datetime.timedelta objects.

  Returns:
    numpy.ndarray

      A NumPy `timedelta64` object representing the same duration as the original pandas `Timedelta` object. The precision of the resulting object is in nanoseconds, which is the default time resolution used by pandas for `Timedelta` objects, ensuring high precision for time-based calculations.

  See also

  `to_timedelta`

    Convert argument to timedelta format.

  `Timedelta`

    Represents a duration between two dates or times.

  `DatetimeIndex`

    Index of datetime64 data.

  `Timedelta.components`

    Return a components namedtuple-like of a single timedelta.

  Examples

      >>> tdelta_idx = pd.to_timedelta([1, 2, 3], unit="D")
      >>> tdelta_idx
      TimedeltaIndex(['1 days', '2 days', '3 days'],
                      dtype='timedelta64[s]', freq=None)
      >>> tdelta_idx.to_pytimedelta()
      array([datetime.timedelta(days=1), datetime.timedelta(days=2),
             datetime.timedelta(days=3)], dtype=object)

      >>> tidx = pd.TimedeltaIndex(data=["1 days 02:30:45", "3 days 04:15:10"])
      >>> tidx
      TimedeltaIndex(['1 days 02:30:45', '3 days 04:15:10'],
             dtype='timedelta64[us]', freq=None)
      >>> tidx.to_pytimedelta()
      array([datetime.timedelta(days=1, seconds=9045),
              datetime.timedelta(days=3, seconds=15310)], dtype=object)