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 willhave the same name and index. DatetimeIndex will have the samename.

See also

quarter

Return the quarter of the date.

is_quarter_end

Similar property for indicating the quarter end.

Examples

This method is available on Series with datetime values underthe.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_start0 2017-03-30        1             False1 2017-03-31        1             False2 2017-04-01        2              True3 2017-04-02        2             False

>>>idx=pd.date_range('2017-03-30',periods=4)>>>idxDatetimeIndex(['2017-03-30', '2017-03-31', '2017-04-01', '2017-04-02'],              dtype='datetime64[ns]', freq='D')

>>>idx.is_quarter_startarray([False, False,  True, False])