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Classe « PeriodIndex »

Méthode pandas.PeriodIndex.asfreq

Signature de la méthode asfreq

def asfreq(self, freq=None, how: 'str' = 'E') -> 'Self' 

Description

help(PeriodIndex.asfreq)

Convert the PeriodArray to the specified frequency `freq`.

Equivalent to applying :meth:`pandas.Period.asfreq` with the given arguments
to each :class:`~pandas.Period` in this PeriodArray.

Parameters
----------
freq : str
    A frequency.
how : str {'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 :class:`~pandas.Period` object to the given frequency.

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

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