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Module « pandas »

Fonction period_range - module pandas

Signature de la fonction period_range

def period_range(start=None, end=None, periods: 'int | None' = None, freq=None, name: 'Hashable | None' = None) -> 'PeriodIndex' 

Description

help(pandas.period_range)

Return a fixed frequency PeriodIndex.

The day (calendar) is the default frequency.

Parameters
----------
start : str, datetime, date, pandas.Timestamp, or period-like, default None
    Left bound for generating periods.
end : str, datetime, date, pandas.Timestamp, or period-like, default None
    Right bound for generating periods.
periods : int, default None
    Number of periods to generate.
freq : str 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.
name : str, 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
<https://pandas.pydata.org/pandas-docs/stable/user_guide/timeseries.html#offset-aliases>`__.

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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