Generating multiple plots in a single figure

Wouldn't it be interesting to know how to generate multiple plots in a single figure? Well, let's get started with that.

Getting ready

Start Jupyter and run the following three commands in an execution cell:

%matplotlib inline
import numpy as np
import matplotlib.pyplot as plt

How to do it…

Run the following commands in a Jupyter cell:

plt.figure(figsize=(6,6))
xvalues = np.linspace(-2, 2, 100)
plt.subplot(2, 2, 1)
yvalues = xvalues
plt.plot(xvalues, yvalues, color='blue')
plt.xlabel('$x$')
plt.ylabel('$x$')
plt.subplot(2, 2, 2)
yvalues = xvalues ** 2
plt.plot(xvalues, yvalues, color='green')
plt.xlabel('$x$')
plt.ylabel('$x^2$')
plt.subplot(2, 2, 3)
yvalues = xvalues ** 3
plt.plot(xvalues, yvalues, color='red')
plt.xlabel('$x$')
plt.ylabel('$x^3$')
plt.subplot(2, 2, 4)
yvalues = xvalues ** 4
plt.plot(xvalues, yvalues, color='black')
plt.xlabel('$x$')
plt.ylabel('$x^3$')
plt.suptitle('Polynomial Functions')
plt.tight_layout()
plt.subplots_adjust(top...