Python Machine Learning Cookbook - Second Edition

How to do it...

Let's look at how to plot histograms, as follows:

1. Create a new Python file and import the following packages (the full code is in the histogram.py file that's already been provided to you):

import numpy as np 
import matplotlib.pyplot as plt  

2. We'll compare the production quantities of apples and oranges in this recipe. Let's define some values:

# Input data 
apples = [30, 25, 22, 36, 21, 29] 
oranges = [24, 33, 19, 27, 35, 20] 
 
# Number of groups 
num_groups = len(apples) 

3. Create the figure and define its parameters:

# Create the figure 
fig, ax = plt.subplots() 
 
# Define the X axis 
indices = np.arange(num_groups) 
 
# Width and opacity of histogram bars 
bar_width = 0.4 
opacity = 0.6 

4. Plot the histogram:

# Plot the values hist_apples ...