pandas.DatetimeIndex.is_quarter_start¶
-
DatetimeIndex.
is_quarter_start
¶ Indicator for whether the date is the first day of a quarter.
Returns: is_quarter_start : Series 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])