pandas.Series.dt.quarter

Series.dt.quarter

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')