After a title, a proper description of the figure's axis helps a great deal for users understand a graphic. In this recipe, we will show you how to get a label next to each axis of a figure.
Adding such annotations is very simple, as demonstrated in the following example:
import numpy as np import matplotlib.pyplot as plt X = np.linspace(-4, 4, 1024) Y = .25 * (X + 4.) * (X + 1.) * (X - 2.) plt.title('Power curve for airfoil KV873') plt.xlabel('Air speed') plt.ylabel('Total drag') plt.plot(X, Y, c = 'k') plt.show()
The figure will be the same as the one obtained in the first recipe of this chapter. However, both the axes will feature a legend.
We use the