pandas.PeriodIndex.asfreq¶

PeriodIndex.asfreq(freq=None, how='E')[source]¶

Convert the PeriodArray to the specified frequency freq.

Equivalent to applying pandas.Period.asfreq() with the given arguments to each Period in this PeriodArray.

Parameters:

freqstr

A frequency.

howstr {‘E’, ‘S’}, default ‘E’

Whether the elements should be aligned to the end or start within pa period.

‘E’, ‘END’, or ‘FINISH’ for end,
‘S’, ‘START’, or ‘BEGIN’ for start.

January 31st (‘END’) vs. January 1st (‘START’) for example.

Returns:

PeriodArray: The transformed PeriodArray with the new frequency.

See also

pandas.arrays.PeriodArray.asfreq: Convert each Period in a PeriodArray to the given frequency.
Period.asfreq: Convert a Period object to the given frequency.

Examples

>>> pidx = pd.period_range('2010-01-01', '2015-01-01', freq='A')
>>> pidx
PeriodIndex(['2010', '2011', '2012', '2013', '2014', '2015'],
dtype='period[A-DEC]')

>>> pidx.asfreq('M')
PeriodIndex(['2010-12', '2011-12', '2012-12', '2013-12', '2014-12',
'2015-12'], dtype='period[M]')

>>> pidx.asfreq('M', how='S')
PeriodIndex(['2010-01', '2011-01', '2012-01', '2013-01', '2014-01',
'2015-01'], dtype='period[M]')

pandas.PeriodIndex.year

pandas.PeriodIndex.strftime