pandas.period_range — pandas 0.24.0rc1 documentation (original) (raw)
pandas.
period_range
(start=None, end=None, periods=None, freq=None, name=None)[source]¶
Return a fixed frequency PeriodIndex, with day (calendar) as the default frequency
Parameters: | start : string or period-like, default None Left bound for generating periods end : string or period-like, default None Right bound for generating periods periods : integer, default None Number of periods to generate freq : string or DateOffset, optional Frequency alias. By default the freq is taken from start or endif those are Period objects. Otherwise, the default is "D" for daily frequency. name : string, default None Name of the resulting PeriodIndex |
---|---|
Returns: | prng : PeriodIndex |
Notes
Of the three parameters: start
, end
, and periods
, exactly two must be specified.
To learn more about the frequency strings, please see this link.
Examples
pd.period_range(start='2017-01-01', end='2018-01-01', freq='M') PeriodIndex(['2017-01', '2017-02', '2017-03', '2017-04', '2017-05', '2017-06', '2017-06', '2017-07', '2017-08', '2017-09', '2017-10', '2017-11', '2017-12', '2018-01'], dtype='period[M]', freq='M')
If start
or end
are Period
objects, they will be used as anchor endpoints for a PeriodIndex
with frequency matching that of theperiod_range
constructor.
pd.period_range(start=pd.Period('2017Q1', freq='Q'), ... end=pd.Period('2017Q2', freq='Q'), freq='M') PeriodIndex(['2017-03', '2017-04', '2017-05', '2017-06'], dtype='period[M]', freq='M')