pandas.Series.dt.date#

Series.dt.date[source]#

Returns numpy array of python datetime.date objects.

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

See also

DatetimeIndex.time: Returns numpy array of datetime.time objects. The time part of the Timestamps.
DatetimeIndex.year: The year of the datetime.
DatetimeIndex.month: The month as January=1, December=12.
DatetimeIndex.day: The day of the datetime.

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)