matplotlib 3.5.1

>>> """
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 `~.pyplot.subplot` or
`~.pyplot.axes`, 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))
... 
... plt.show()
...