Pandas DataFrame max() method with examples

The max() method in pandas find the maximum value of the columns or the rows. When the axis is set to axis=0 or index, It finds the maximum value for each columns and when the axis is set to axis=1 or columns, it finds the maximum value for each rows in the dataframe.

Examples –

Let’s create a Dataset to work with.

import pandas as pd

data = {'Apple':[89, 89, 90, 110, 125, 84, 131, 123, 123, 140, 145, 145],
       'Orange': [46, 46, 50, 65, 63, 48, 110, 120, 60, 42, 47, 62],
       'Banana': [26, 30, 30, 25, 38, 22, 22, 36, 20, 27, 23, 34 ],
       'Mango': [80, 80, 90, 125, 130, 150, 140, 140, 135, 135, 80, 90]}

index = ['Jan','Feb','Mar','Apr','May','June','Jul','Aug','Sep','Oct','Nov','Dec']
df = pd.DataFrame(data, index=index)
df

1 . Find the maximum value for each columns –

By default max() method finds the maximum value for each columns. By default the axis is set to axis=0 or index.

df.max()

2 . Find the maximum value for each rows –

To find the maximum value for each rows we need to set the axis to axis=1 or columns.

df.max(axis=1)