Python Feature Engineering Cookbook

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We can go ahead and have a glimpse of the distribution of the newly created features in each of the 20 different news topics present in the dataset, by introducing some simple visualizations. To make histogram plots of the newly created features, after you run all of the steps from the How it works... section of this recipe, follow these commands:

1. Import Matplotlib:

import matplotlib.pyplot as plt

2. Add the target with the news topics to the 20 Newsgroup dataframe:

df['target'] = data.target

3. Create a function to display a histogram of a feature of your choice for each one of the news topics:

def plot_features(df, text_var):    nb_rows = 5    nb_cols = 4        fig, axs = plt.subplots(nb_rows, nb_cols, figsize=(12, 12)) plt.subplots_adjust(wspace=None, ...