pandas.core.groupby.DataFrameGroupBy.pct_change¶
- DataFrameGroupBy.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.