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)