Pandas DataFrame pct_change() Method

Find the percentage difference between the values in current row and previous row:

import pandas as pd

data = [[10, 18, 11], [20, 15, 8], [30, 20, 3]]

df = pd.DataFrame(data)

print(df.pct_change())

Definition and Usage

The pct_change() method returns a DataFrame with the percentage difference between the values for each row and, by default, the previous row.

Which row to compare with can be specified with the periods parameter.

dataframe.pct_change(periods, axis, fill_method, limit, freq, kwargs)

The periods, fill_method, axis, limit , freq parameters are keyword arguments..

Parameter	Value	Description
periods	a number	Optional. Specifies which row/column to calculate the difference between. Default 1, which means the previous row/column.
axis	`0 1 'index' 'columns'`	Optional, default 0, specifies the axis to check the difference between.
fill_method	String	Optional, default 'pad'. Specifies how to deal with NULL values.
limit	`None` Number	Optional, default None. Specifies how many NULL values to fill before ending the comparison.
freq	Date String	Optional, Specifies the increment to use for datetime values.

A DataFrame object with the differences.