pandas.Series.dt.is_quarter_start#

Series.dt.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 end.

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年03月30日",
...  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年03月30日 1 False
1 2017年03月31日 1 False
2 2017年04月01日 2 True
3 2017年04月02日 2 False

>>> idx = pd.date_range('2017年03月30日', periods=4)
>>> idx
DatetimeIndex(['2017年03月30日', '2017年03月31日', '2017年04月01日', '2017年04月02日'],
 dtype='datetime64[ns]', freq='D')

>>> idx.is_quarter_start
array([False, False, True, False])