You are reading an old version of the documentation (v2.2.2). For the latest version see
Version 2.2.2
Fork me on GitHub

Related Topics

Sharing 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() instance, you can pass in a keyword indicating what axes you want to share with

import numpy as np
import matplotlib.pyplot as plt

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))

Keywords: matplotlib code example, codex, python plot, pyplot Gallery generated by Sphinx-Gallery