xorbits.pandas.Series.dt.date

Series.dt.date

Returns numpy array of python datetime.date objects.

Namely, the date part of Timestamps without time and timezone information.

Examples

For Series:

>>> s = pd.Series(["1/1/2020 10:00:00+00:00", "2/1/2020 11:00:00+00:00"])  
>>> s = pd.to_datetime(s)  
>>> s  
0   2020-01-01 10:00:00+00:00
1   2020-02-01 11:00:00+00:00
dtype: datetime64[ns, UTC]
>>> s.dt.date  
0    2020-01-01
1    2020-02-01
dtype: object

For DatetimeIndex:

>>> idx = pd.DatetimeIndex(["1/1/2020 10:00:00+00:00",  
...                         "2/1/2020 11:00:00+00:00"])
>>> idx.date  
array([datetime.date(2020, 1, 1), datetime.date(2020, 2, 1)], dtype=object)

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