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 start.


This method is available on Series with datetime values under the .dt accessor, and directly on DatetimeIndex.

>>> import mars.dataframe as md
>>> df = md.DataFrame({'dates': md.date_range("2017-03-30",
...                   periods=4)})
>>> df.assign(quarter=df.dates.dt.quarter,
...           is_quarter_start=df.dates.dt.is_quarter_start).execute()
       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 = md.date_range('2017-03-30', periods=4)
>>> idx.execute()
DatetimeIndex(['2017-03-30', '2017-03-31', '2017-04-01', '2017-04-02'],
              dtype='datetime64[ns]', freq='D')
>>> idx.is_quarter_start.execute()
array([False, False,  True, False])