pandas.arrays.DatetimeArray.is_quarter_end — pandas 0.24.0rc1 documentation (original) (raw)
DatetimeArray. is_quarter_end¶
Indicator for whether the date is the last day of a quarter.
| Returns: | is_quarter_end : Series or DatetimeIndex The same type as the original data with boolean values. Series will have the same name and index. DatetimeIndex will have the same name. |
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Examples
This method is available on Series with datetime values under the .dt accessor, and directly on DatetimeIndex.
df = pd.DataFrame({'dates': pd.date_range("2017-03-30", ... periods=4)}) df.assign(quarter=df.dates.dt.quarter, ... is_quarter_end=df.dates.dt.is_quarter_end) dates quarter is_quarter_end 0 2017-03-30 1 False 1 2017-03-31 1 True 2 2017-04-01 2 False 3 2017-04-02 2 False
idx = pd.date_range('2017-03-30', periods=4) idx DatetimeIndex(['2017-03-30', '2017-03-31', '2017-04-01', '2017-04-02'], dtype='datetime64[ns]', freq='D')
idx.is_quarter_end array([False, True, False, False])