Hands-On Exploratory Data Analysis with Python

Max and min

Let's compute the maximum and minimum entry for each group. Here, we will find the maximum and minimum for the normalized-losses column:

# max() will print the maximum entry of each group style['normalized-losses'].max()# min() will print the minimum entry of each group style['normalized-losses'].min()

The output of the preceding code is as follows:

body-styleconvertible 122hardtop 93hatchback 65sedan 65wagon 74Name: normalized-losses, dtype: int64

As illustrated in the preceding output, the minimum value for each category is presented.