pandas.DatetimeIndex.is_quarter_start¶

property DatetimeIndex.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])

pandas.DatetimeIndex.is_month_end

pandas.DatetimeIndex.is_quarter_end