dask.dataframe.Series.dt.quarter#
- dataframe.Series.dt.quarter#
The quarter of the date.
This docstring was copied from pandas.core.indexes.accessors.CombinedDatetimelikeProperties.quarter.
Some inconsistencies with the Dask version may exist.
See also
DatetimeIndex.snapSnap time stamps to nearest occurring frequency.
DatetimeIndex.timeReturns 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[us, 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')