Python Feature Engineering Cookbook

How to do it...

Let's begin by importing the necessary libraries and getting the data ready:

1. Import the required Python libraries:

import pandas as pdimport matplotlib.pyplot as plt

2. Let's load the Car Evaluation dataset, add the column names, and display the first five rows:

data = pd.read_csv('car.data', header=None)data.columns = ['buying', 'maint', 'doors', 'persons', 'lug_boot', 'safety', 'class']data.head()

We get the following output when the code is executed from a Jupyter Notebook:

By default, pandas read_csv() uses the first row of the data as the column names. If the column names are not part of the raw data, we need to specifically ...