pandas.arrays.DatetimeArray.is_quarter_start — pandas 0.24.0rc1 documentation (original) (raw)
DatetimeArray. 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. |
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See also
Return the quarter of the date.
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])