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pandas.period_range — pandas 2.3.1 documentation

pandas.period_range(start=None, end=None, periods=None, freq=None, name=None)[source]#

Return a fixed frequency PeriodIndex.

The day (calendar) is the default frequency.

Parameters:

startstr, datetime, date, pandas.Timestamp, or period-like, default None

Left bound for generating periods.

endstr, datetime, date, pandas.Timestamp, or period-like, default None

Right bound for generating periods.

periodsint, default None

Number of periods to generate.

freqstr or DateOffset, optional

Frequency alias. By default the freq is taken from start or end if those are Period objects. Otherwise, the default is "D" for daily frequency.

namestr, default None

Name of the resulting PeriodIndex.

Returns:

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',
         '2017-07', '2017-08', '2017-09', '2017-10', '2017-11', '2017-12',
         '2018-01'],
        dtype='period[M]')

If start or end are Period objects, they will be used as anchor endpoints for a PeriodIndex with frequency matching that of the period_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]')

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