DataFrameGroupBy.pct_change()

DataFrameGroupBy.pct_change(periods=1, fill_method='pad', limit=None, freq=None, **kwargs)

Percent change over given number of periods.

Parameters:

Parameters:	periods : int, default 1 Periods to shift for forming percent change fill_method : str, default ?pad? How to handle NAs before computing percent changes limit : int, default None The number of consecutive NAs to fill before stopping freq : DateOffset, timedelta, or offset alias string, optional Increment to use from time series API (e.g. ?M? or BDay())
Returns:	chg : NDFrame

periods : int, default 1

Periods to shift for forming percent change

fill_method : str, default ?pad?

How to handle NAs before computing percent changes

limit : int, default None

The number of consecutive NAs to fill before stopping

freq : DateOffset, timedelta, or offset alias string, optional

Increment to use from time series API (e.g. ?M? or BDay())

Returns:

chg : NDFrame

Notes

By default, the percentage change is calculated along the stat axis: 0, or Index, for DataFrame and 1, or minor for Panel. You can change this with the axis keyword argument.

Links:

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

doc_Pandas

2017-01-12 04:47:01

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