DataFrameGroupBy.tshift()

DataFrameGroupBy.tshift(periods=1, freq=None, axis=0)

Shift the time index, using the index?s frequency if available.

Parameters:

Parameters:	periods : int Number of periods to move, can be positive or negative freq : DateOffset, timedelta, or time rule string, default None Increment to use from the tseries module or time rule (e.g. ?EOM?) axis : int or basestring Corresponds to the axis that contains the Index
Returns:	shifted : NDFrame

periods : int

Number of periods to move, can be positive or negative

freq : DateOffset, timedelta, or time rule string, default None

Increment to use from the tseries module or time rule (e.g. ?EOM?)

axis : int or basestring

Corresponds to the axis that contains the Index

Returns:

shifted : NDFrame

Notes

If freq is not specified then tries to use the freq or inferred_freq attributes of the index. If neither of those attributes exist, a ValueError is thrown

Links:

http://pandas.pydata.org/pandas-docs/version/0.19.2/generated/pandas.core.groupby.DataFrameGroupBy.tshift.html

doc_Pandas

2017-01-12 04:47:04

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