创建两个子图后如何共享它们的x轴? [英] How share x axis of two subplots after they are created?

问题描述

我试图共享两个子图轴，但是在创建图形之后，我需要共享x轴. 因此，例如，我创建了这个图:

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()

我将插入一些代码以共享两个x轴，而不是注释. 我没有找到任何线索我可以做到这一点.有一些属性 _shared_x_axes和_shared_x_axes当我检查图轴(fig.get_axes())但不知道如何链接它们时.

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.

推荐答案

共享轴的常用方法是在创建时创建共享属性.要么

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)

或

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

因此，不必在创建轴之后共享轴.

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

但是，如果出于任何原因，您需要在创建轴后共享轴(实际上，使用另一个库来创建一些子图，例如共享插入轴可能是一个原因)，仍然会有解决方案:

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:

使用

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

在两个轴ax1和ax2之间创建链接.与创建时的共享相比，您必须为其中一个轴手动设置xticklabel(以防万一).

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).

完整示例:

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()

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