xorbits.pandas.Series.dt.days#

Series.dt.days#

Number of days for each element.

For Series:

>>> ser = pd.Series(pd.to_timedelta([1, 2, 3], unit='d'))  
>>> ser  
0   1 days
1   2 days
2   3 days
dtype: timedelta64[ns]
>>> ser.dt.days  
0    1
1    2
2    3
dtype: int64

For TimedeltaIndex:

>>> tdelta_idx = pd.to_timedelta(["0 days", "10 days", "20 days"])  
>>> tdelta_idx  
TimedeltaIndex(['0 days', '10 days', '20 days'],
                dtype='timedelta64[ns]', freq=None)
>>> tdelta_idx.days  
Index([0, 10, 20], dtype='int64')

This docstring was copied from pandas.core.indexes.accessors.CombinedDatetimelikeProperties.