Pandas Series: dt.to_pytimedelta() function

Series-dt.to_pytimedelta() function

The dt.to_pytimedelta() function is used to 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.

Syntax:

Series.dt.to_pytimedelta(self)

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

Example:

Python-Pandas Code:

import numpy as np
import pandas as pd
s = pd.Series(pd.to_timedelta(np.arange(6), unit='d'))
s

Output:

0   0 days
1   1 days
2   2 days
3   3 days
4   4 days
5   5 days
dtype: timedelta64[ns]

Python-Pandas Code:

import numpy as np
import pandas as pd
s = pd.Series(pd.to_timedelta(np.arange(6), unit='d'))
s.dt.to_pytimedelta()

Output:

array([datetime.timedelta(0), datetime.timedelta(days=1),
       datetime.timedelta(days=2), datetime.timedelta(days=3),
       datetime.timedelta(days=4), datetime.timedelta(days=5)],
      dtype=object)

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