pyspark.pandas.Series.dt.is_quarter_end#
- dt.is_quarter_end#
Indicator for whether the date is the last day of a quarter.
- Returns
- is_quarter_endSeries
The same type as the original data with boolean values. Series will have the same name and index.
See also
quarter
Return the quarter of the date.
is_quarter_start
Similar property indicating the quarter start.
Examples
This method is available on Series with datetime values under the
.dt
accessor.>>> df = ps.DataFrame({'dates': pd.date_range("2017-03-30", ... periods=4)}) >>> df dates 0 2017-03-30 1 2017-03-31 2 2017-04-01 3 2017-04-02
>>> df.dates.dt.quarter 0 1 1 1 2 2 3 2 Name: dates, dtype: int32
>>> df.dates.dt.is_quarter_start 0 False 1 False 2 True 3 False Name: dates, dtype: bool