pandas.Series.dt.to_pytimedelta#

Series.dt.to_pytimedelta()[source]#

Return an array of native datetime.timedelta objects.

Python’s standard datetime library uses a different representation timedelta’s. This method converts a Series of pandas Timedeltas to datetime.timedelta format with the same length as the original Series.

Returns:

numpy.ndarray: Array of 1D containing data with datetime.timedelta type.

See also

datetime.timedelta: A duration expressing the difference between two date, time, or datetime.

Examples

>>> s = pd.Series(pd.to_timedelta(np.arange(5), unit="d"))
>>> s
0   0 days
1   1 days
2   2 days
3   3 days
4   4 days
dtype: timedelta64[ns]

>>> s.dt.to_pytimedelta()
array([datetime.timedelta(0), datetime.timedelta(days=1),
datetime.timedelta(days=2), datetime.timedelta(days=3),
datetime.timedelta(days=4)], dtype=object)