pandas.Series.dt.quarter#

Series.dt.quarter[source]#

The quarter of the date.

See also

DatetimeIndex.snap: Snap time stamps to nearest occurring frequency.
DatetimeIndex.time: Returns numpy array of datetime.time objects. The time part of the Timestamps.

Examples

For Series:

>>> s = pd.Series(["1/1/2020 10:00:00+00:00", "4/1/2020 11:00:00+00:00"])
>>> s = pd.to_datetime(s)
>>> s
0   2020-01-01 10:00:00+00:00
1   2020-04-01 11:00:00+00:00
dtype: datetime64[s, UTC]
>>> s.dt.quarter
0    1
1    2
dtype: int32

For DatetimeIndex:

>>> idx = pd.DatetimeIndex(["1/1/2020 10:00:00+00:00",
...                         "2/1/2020 11:00:00+00:00"])
>>> idx.quarter
Index([1, 1], dtype='int32')