pandas.DataFrame.pct_change

DataFrame.pct_change(periods=1, fill_method=’pad’, limit=None, freq=None, **kwargs)

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.