pandas.TimedeltaIndex.to_pytimedelta#

TimedeltaIndex.to_pytimedelta()[source]#

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[ns]', 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[ns]', freq=None)
>>> tidx.to_pytimedelta()
array([datetime.timedelta(days=1, seconds=9045),
        datetime.timedelta(days=3, seconds=15310)], dtype=object)