Pandas DataFrame: pct_change() function

Last update on August 19 2022 21:50:51 (UTC/GMT +8 hours)

DataFrame - pct_change() function

The pct_change() function returns percentage change between the current and a prior element.

Computes the percentage change from the immediately previous row by default. This is useful in comparing the percentage of change in a time series of elements.

Syntax:

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

Parameters:

Name	Description	Type/Default Value	Required / Optional
periods	Periods to shift for forming percent change.	int Default Value: 1	Required
fill_method	How to handle NAs before computing percent changes.	str Default Value: ‘pad’	Required
limit	The number of consecutive NAs to fill before stopping.	int Default Value: None	Required
freq	Increment to use from time series API (e.g. ‘M’ or BDay()).	DateOffset, timedelta, or offset alias string,	Optional
**kwargs	Additional keyword arguments are passed into DataFrame.shift or Series.shift.		Required

Returns: chg - Series or DataFrame
The same type as the calling object.

Example:

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