Python Feature Engineering Cookbook

How to do it...

Let's begin the recipe by importing the necessary libraries:

1. Import the required Python libraries:

import pandas as pdimport numpy as npimport matplotlib.pyplot as plt

To proceed with this recipe, let's create a toy dataframe with three variables called x, y, and z, that follow a normal distribution and show a few negative values. To create this toy dataframe, we need to follow these steps:

2. Create the x, y, and z variables with a normal distribution:

np.random.seed(29)n = 200x = np.random.randn(n) + 2y = np.random.randn(n) * 2 + 4z = np.random.randn(n) * 5 + 10

Setting the seed for reproducibility using np.random.seed() will help you to get the outputs shown in this recipe.

3. Let's capture these variables in a dataframe ...