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DOC: updating docstring of Index.shift #19996

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44 changes: 40 additions & 4 deletions pandas/core/indexes/base.py
Original file line number Diff line number Diff line change
Expand Up @@ -2211,13 +2211,49 @@ def sortlevel(self, level=None, ascending=True, sort_remaining=None):
return self.sort_values(return_indexer=True, ascending=ascending)

def shift(self, periods=1, freq=None):
"""
Shift Index containing datetime objects by input number of periods and
DateOffset
"""Shift index by desired number of time frequency increments.

This method is for shifting the values of datetime-like indexes
by a specified time increment a given number of times.

Parameters
----------
periods : int
Number of periods (or increments) to shift by,
can be positive or negative (default is 1).
freq : pandas.DateOffset, pandas.Timedelta or string
Frequency increment to shift by (default is None).
If None, the index is shifted by its own `freq` attribute.
Offset aliases are valid strings, e.g., 'D', 'W', 'M' etc.

Returns
-------
shifted : Index
pandas.Index
shifted index

Examples
--------
>>> month_starts = pd.date_range('1/1/2011', periods=5, freq='MS')

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Can you show the output here? (so it is easier to compare the result of the shift with the original)

Shift by 10 days.

>>> month_starts.shift(10, freq='D')
DatetimeIndex(['2011-01-11', '2011-02-11', '2011-03-11', '2011-04-11',
'2011-05-11'],
dtype='datetime64[ns]', freq=None)

The default value of `freq` is the `freq` attribute of the index;
in this example it is 'MS' (month start).

>>> month_starts.shift(10)
DatetimeIndex(['2011-11-01', '2011-12-01', '2012-01-01', '2012-02-01',
'2012-03-01'],
dtype='datetime64[ns]', freq='MS')

Notes
-----
This method is only implemented for datetime-like index classes,
i.e., DatetimeIndex, PeriodIndex and TimedeltaIndex.
"""
raise NotImplementedError("Not supported for type %s" %
type(self).__name__)
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