Share axis limits and views

It's common to make two or more plots which share an axis, e.g., two subplots with time as a common axis. When you pan and zoom around on one, you want the other to move around with you. To facilitate this, matplotlib Axes support a sharex and sharey attribute. When you create a subplot or axes, you can pass in a keyword indicating what Axes you want to share with.

import matplotlib.pyplot as plt
import numpy as np

t = np.arange(0, 10, 0.01)

ax1 = plt.subplot(211)
ax1.plot(t, np.sin(2*np.pi*t))

ax2 = plt.subplot(212, sharex=ax1)
ax2.plot(t, np.sin(4*np.pi*t))

plt.show()

Tags: component: axis plot-type: line level: beginner