property DatetimeIndex.is_quarter_start

Indicator for whether the date is the first day of a quarter.

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


Return the quarter of the date.


Similar property for indicating the quarter start.


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])