What is the technique for creating a single figure that displays two boxplots?

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The technique for creating a single figure that displays two boxplots is to use a combination of subplots. We can create a figure with two subplots, one subplot for each boxplot. Then, we can plot the boxplots onto each subplot separately. To create the subplots, we can use the Matplotlib subplots() function, passing the number of rows and columns of subplots as arguments. Then, we can use the ax parameter of the boxplot() function to indicate which subplot to plot the boxplot onto. Here's some sample code to create a single figure with two boxplots:

import matplotlib.pyplot as plt import numpy as np # Generate some random data for the boxplots data1 = np.random.normal(0, 1, size=100) data2 = np.random.normal(2, 1, size=100) # Create a figure with two subplots fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(8,4)) # Plot the boxplots onto each subplot ax1.boxplot(data1) ax1.set_title('Boxplot 1') ax2.boxplot(data2) ax2.set_title('Boxplot 2') # Add axis labels and a title to the figure fig.suptitle('Two Boxplots') ax1.set_xlabel('Data') ax1.set_ylabel('Values') ax2.set_xlabel('Data') ax2.set_ylabel('Values') # Display the figure plt.show() 

This will create a figure with two subplots, one for each boxplot, and display them side-by-side. The first subplot will show the boxplot of data1, while the second subplot will show the boxplot of data2. We can customize the subplots and the boxplots as needed, such as adding titles, labels, and adjusting the size of the figure.