pandas.Series.dt.is_quarter_start#
- Series.dt.is_quarter_start[source]#
Indicator for whether the date is the first day of a quarter.
- Returns
- is_quarter_startSeries 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.
See also
quarter
Return the quarter of the date.
is_quarter_end
Similar property for indicating the quarter start.
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_start=df.dates.dt.is_quarter_start) dates quarter is_quarter_start 0 2017-03-30 1 False 1 2017-03-31 1 False 2 2017-04-01 2 True 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_start array([False, False, True, False])