创建两个子图后如何共享它们的x轴？

I’m trying to share two subplots axis, but I need to share x axis after the figure was created. So, for instance, I create this figure:

import numpy as np
import matplotlib.pyplot as plt

t= np.arange(1000)/100.
x = np.sin(2*np.pi*10*t)
y = np.cos(2*np.pi*10*t)

fig=plt.figure()
ax1 = plt.subplot(211)
plt.plot(t,x)
ax2 = plt.subplot(212)
plt.plot(t,y)

# some code to share both x axis

plt.show()

Instead of the comment I would insert some code to share both x axis. I didn’t find any clue how i can do that. There are some attributes _shared_x_axes and _shared_x_axes when i check to figure axis (fig.get_axes()) but I don’t know how to link them.

The usual way to share axes is to create the shared properties at creation. Either

fig=plt.figure()
ax1 = plt.subplot(211)
ax2 = plt.subplot(212, sharex = ax1)

or

fig, (ax1, ax2) = plt.subplots(nrows=2, sharex=True)

Sharing the axes after they have been created should therefore not be necessary.

However if for any reason, you need to share axes after they have been created (actually, using a different library which creates some subplots, like here, or sharing an inset axes might be a reason), there would still be a solution:

Using

ax1.get_shared_x_axes().join(ax1, ax2)

creates a link between the two axes, ax1 and ax2. In contrast to the sharing at creation time, you will have to set the xticklabels off manually for one of the axes (in case that is wanted).

A complete example:

import numpy as np
import matplotlib.pyplot as plt

t= np.arange(1000)/100.
x = np.sin(2*np.pi*10*t)
y = np.cos(2*np.pi*10*t)

fig=plt.figure()
ax1 = plt.subplot(211)
ax2 = plt.subplot(212)

ax1.plot(t,x)
ax2.plot(t,y)

ax1.get_shared_x_axes().join(ax1, ax2)
ax1.set_xticklabels([])
# ax2.autoscale() ## call autoscale if needed

plt.show()