It is considered useful to have dual x or y axes in a figure. Moreso, when plotting curves with different units together. Matplotlib supports this with the twinxand twiny functions.
In the following example, the plot has dual y axes, one showing exp(x) and the other showing log(x) −
import matplotlib.pyplot as plt import numpy as np fig = plt.figure() a1 = fig.add_axes([0,0,1,1]) x = np.arange(1,11) a1.plot(x,np.exp(x)) a1.set_ylabel('exp') a2 = a1.twinx() a2.plot(x, np.log(x),'ro-') a2.set_ylabel('log') fig.legend(labels = ('exp','log'),loc='upper left') plt.show()