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


is_quarter_start – The same type as the original data with boolean values. Series will have the same name and index. DatetimeIndex will have the same name.

Return type

Series or DatetimeIndex

See also


Return the quarter of the date.


Similar property for indicating the quarter end.


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])

This docstring was copied from pandas.core.indexes.accessors.CombinedDatetimelikeProperties.