pandas.DatetimeIndex.is_quarter_end¶

property DatetimeIndex.is_quarter_end[source]¶

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

Returns:

is_quarter_endSeries 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_start: Similar property 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_end=df.dates.dt.is_quarter_end)
       dates  quarter    is_quarter_end
0 2017-03-30        1             False
1 2017-03-31        1              True
2 2017-04-01        2             False
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_end
array([False,  True, False, False])

pandas.DatetimeIndex.is_quarter_start

pandas.DatetimeIndex.is_year_start