pandas.DataFrame.pct_change

DataFrame.pct_change(periods=1, fill_method='pad', limit=None, freq=None, **kwargs) [source]

Percent change over given number of periods.

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

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.