Python Feature Engineering Cookbook

How to do it...

Let's begin by importing the necessary libraries:

1. Import the required Python libraries and modules:

import pandas as pdimport numpy as npimport matplotlib.pyplot as pltimport seaborn as snsimport scipy.stats as stats

To proceed with this recipe, let's create a toy dataframe with a single variable, x, that follows a normal distribution.

2. Create a variable, x, with 200 observations that are normally distributed:

np.random.seed(29)x = np.random.randn(200)

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

3. Create a dataframe with the x variable:

data = pd.DataFrame([x]).Tdata.columns = ['x']

4. Make a histogram and a density plot of the variable distribution: