pandas.period_range¶

pandas.period_range(start=None, end=None, periods=None, freq=None, name=None) → pandas.core.indexes.period.PeriodIndex[source]¶

Return a fixed frequency PeriodIndex.

The day (calendar) is the default frequency.

Parameters

startstr or period-like, default None: Left bound for generating periods.
endstr 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', '2017-06', '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 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]', freq='M')

pandas.bdate_range pandas.timedelta_range