blocks|key|1088142|text|这是使用共享轴时的常见陷阱。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1088143|幸运的是，有一个简单的解决方法:使用plt.setp(ax.get_xticklabels(),+visible=False)使标签在一个轴上不可见。|offset|length|style|CODE|1088144|无论其价值如何，这都等同于[label.set_visible(False)+for+label+in+ax.get_xticklabels()]。setp将自动操作可迭代的matplotlib对象，以及单个对象。|1088145|举个例子：|1088146|import+matplotlib.pyplot+as+plt
fig+=+plt.figure()
ax1+=+fig.add_subplot(2,1,1)
ax1.plot(range(10),+'b-')

ax2+=+fig.add_subplot(2,1,2,+sharex=ax1)
ax2.plot(range(10),+'r-')

plt.setp(ax1.get_xticklabels(),+visible=False)

plt.show()|code-block|syntax|javascript|1088147|​|1088148|📷|atomic|1088149|1088150|entityMap|0|LINK|mutability|MUTABLE|url|http://matplotlib.sourceforge.net/api/pyplot_api.html#matplotlib.pyplot.setp|1|IMAGE|IMMUTABLE|imageUrl|https://ask.qcloudimg.com/http-save/yehe-900000/bd48c2bb5439784cc0ff80f68dbbbec7.png|imageAlt^0|0|I|19|I|19|0|0|D|1O|22|4|0|0|0|0|0|1|1|0|0^^$0|@$1|2|3|4|5|6|7|1A|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|1B|8|@$D|1C|E|1D|F|G]]|9|@$D|1E|E|1F|1|1G]]|A|$]]|$1|H|3|I|5|6|7|1H|8|@$D|1I|E|1J|F|G]|$D|1K|E|1L|F|G]]|9|@]|A|$]]|$1|J|3|K|5|6|7|1M|8|@]|9|@]|A|$]]|$1|L|3|M|5|N|7|1N|8|@]|9|@]|A|$O|P]]|$1|Q|3|R|5|6|7|1O|8|@]|9|@]|A|$]]|$1|S|3|T|5|U|7|1P|8|@]|9|@$D|1Q|E|1R|1|1S]]|A|$]]|$1|V|3|R|5|6|7|1T|8|@]|9|@]|A|$]]|$1|W|3|-4|5|6|7|1U|8|@]|9|@]|A|$]]]|X|$Y|$5|Z|10|11|A|$12|13]]|14|$5|15|10|16|A|$17|18|19|-4]]]]

This is a common gotcha when using shared axes. 

Fortunately, there's a simple fix: use <a href="http://matplotlib.sourceforge.net/api/pyplot_api.html#matplotlib.pyplot.setp" rel="noreferrer"><code>plt.setp(ax.get_xticklabels(), visible=False)</code></a> to make the labels invisible on just one axis.

This is equivalent to <code>[label.set_visible(False) for label in ax.get_xticklabels()]</code>, for whatever it's worth. <code>setp</code> will automatically operate on an iterable of matplotlib objects, as well as individual objects.

As an example:

<pre><code>import matplotlib.pyplot as plt
fig = plt.figure()
ax1 = fig.add_subplot(2,1,1)
ax1.plot(range(10), 'b-')

ax2 = fig.add_subplot(2,1,2, sharex=ax1)
ax2.plot(range(10), 'r-')

plt.setp(ax1.get_xticklabels(), visible=False)

plt.show()
</code></pre>

<img src="https://i.stack.imgur.com/yiEjs.png" alt="alt text">

blocks|key|1088173|text|对于matplotlib-users上的每个线程，您可以使用|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|1088174|import+matplotlib.pyplot+as+plt
for+ax+in+plt.gcf().axes:
++++try:
++++++++ax.label_outer()
++++except:
++++++++pass|code-block|syntax|javascript|1088175|entityMap|0|LINK|mutability|MUTABLE|url|http://www.mail-archive.com/matplotlib-users@lists.sourceforge.net/msg25311.html^0|2|G|0|0|0^^$0|@$1|2|3|4|5|6|7|Q|8|@]|9|@$A|R|B|S|1|T]]|C|$]]|$1|D|3|E|5|F|7|U|8|@]|9|@]|C|$G|H]]|$1|I|3|-4|5|6|7|V|8|@]|9|@]|C|$]]]|J|$K|$5|L|M|N|C|$O|P]]]]

Per a thread on <a href="http://www.mail-archive.com/matplotlib-users@lists.sourceforge.net/msg25311.html" rel="noreferrer">matplotlib-users</a>, you could use

<pre><code>import matplotlib.pyplot as plt
for ax in plt.gcf().axes:
 try:
 ax.label_outer()
 except:
 pass
</code></pre>

blocks|key|1088267|text|可以在创建子图的过程中使用plt.subplots+as共享轴|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|1088268|fig,+axes+=+plt.subplots(nrows=2,+sharex=True)|code-block|syntax|javascript|1088269|这将自动关闭内轴的刻度标签。|1088270|完整示例：|1088271|import+matplotlib.pyplot+as+plt

fig,+axes+=+plt.subplots(nrows=2,+sharex=True)

axes[0].plot([1,2,3])
axes[1].plot([3,2,1])

plt.show()|1088272|​|1088273|📷|atomic|1088274|1088275|entityMap|0|LINK|mutability|MUTABLE|url|https://matplotlib.org/devdocs/api/_as_gen/matplotlib.pyplot.subplots.html|1|IMAGE|IMMUTABLE|imageUrl|https://ask.qcloudimg.com/http-save/yehe-900000/93a0602690be1397673d15bb727bb4c6.png|imageAlt^0|D|C|D|C|0|0|0|0|0|0|0|0|1|1|0|0^^$0|@$1|2|3|4|5|6|7|1A|8|@$9|1B|A|1C|B|C]]|D|@$9|1D|A|1E|1|1F]]|E|$]]|$1|F|3|G|5|H|7|1G|8|@]|D|@]|E|$I|J]]|$1|K|3|L|5|6|7|1H|8|@]|D|@]|E|$]]|$1|M|3|N|5|6|7|1I|8|@]|D|@]|E|$]]|$1|O|3|P|5|H|7|1J|8|@]|D|@]|E|$I|J]]|$1|Q|3|R|5|6|7|1K|8|@]|D|@]|E|$]]|$1|S|3|T|5|U|7|1L|8|@]|D|@$9|1M|A|1N|1|1O]]|E|$]]|$1|V|3|R|5|6|7|1P|8|@]|D|@]|E|$]]|$1|W|3|-4|5|6|7|1Q|8|@]|D|@]|E|$]]]|X|$Y|$5|Z|10|11|E|$12|13]]|14|$5|15|10|16|E|$17|18|19|-4]]]]

You can share the axes during subplot creation with <a href="https://matplotlib.org/devdocs/api/_as_gen/matplotlib.pyplot.subplots.html" rel="noreferrer"><code>plt.subplots</code></a> as

<pre><code>fig, axes = plt.subplots(nrows=2, sharex=True)
</code></pre>

This will automatically turn the ticklabels for inner axes off.

Complete example:

<pre><code>import matplotlib.pyplot as plt

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

axes[0].plot([1,2,3])
axes[1].plot([3,2,1])

plt.show()
</code></pre>

<a href="https://i.stack.imgur.com/tgQB8.png" rel="noreferrer"><img src="https://i.stack.imgur.com/tgQB8.png" alt="enter image description here"></a>

blocks|key|873618|text|您可以使用Axes.tick_params()|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|873619|import+matplotlib.pyplot+as+plt

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

ax1.tick_params(labelbottom=False)|code-block|syntax|javascript|873620|entityMap|0|LINK|mutability|MUTABLE|url|https://matplotlib.org/api/_as_gen/matplotlib.axes.Axes.tick_params.html^0|5|I|0|0|0^^$0|@$1|2|3|4|5|6|7|Q|8|@]|9|@$A|R|B|S|1|T]]|C|$]]|$1|D|3|E|5|F|7|U|8|@]|9|@]|C|$G|H]]|$1|I|3|-4|5|6|7|V|8|@]|9|@]|C|$]]]|J|$K|$5|L|M|N|C|$O|P]]]]

You could use <a href="https://matplotlib.org/api/_as_gen/matplotlib.axes.Axes.tick_params.html" rel="noreferrer">Axes.tick_params()</a>:

<pre><code>import matplotlib.pyplot as plt

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

ax1.tick_params(labelbottom=False)
</code></pre>

blocks|key|1088356|text|不幸的是，我不允许对esmit的答案进行评论(在我看来，这是最好的解决方案，谢谢esmit)，所以我不得不将我的评论写成一个新的答案:我将他的解决方案放入一个简单的函数中|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1088357|def+remove_inner_ticklabels(fig):
++++for+ax+in+fig.axes:
++++++++try:
++++++++++++ax.label_outer()
++++++++except:
++++++++++++pass|code-block|syntax|javascript|1088358|你可以在plt.show()之前调用它。由于某种原因，乔·金顿的回答对我不起作用。|offset|length|style|CODE|1088359|entityMap^0|0|0|4|A|0^^$0|@$1|2|3|4|5|6|7|O|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|P|8|@]|9|@]|A|$E|F]]|$1|G|3|H|5|6|7|Q|8|@$I|R|J|S|K|L]]|9|@]|A|$]]|$1|M|3|-4|5|6|7|T|8|@]|9|@]|A|$]]]|N|$]]

Unfortunately, I am not allowed to comment on esmit's answer (which is the best solution in my opinion, thanks esmit), so I have to write my comment as a new answer: I put his solution into a simple function

<pre><code>def remove_inner_ticklabels(fig):
 for ax in fig.axes:
 try:
 ax.label_outer()
 except:
 pass
</code></pre>

which you can call before <code>plt.show()</code>. Joe Kington's answer did not work for me for some reason.

I'm using python + matplotlib and I'm having two plots share an axis. If you try to set <code>graph1.set_xticklabels([])</code> while sharing an axis, it has no effect because it is shared. Is there a way to share the axis AND be able to hide the x axis of one plot?

matplotlib share x axis but don't show x axis tick labels for both, just one

我使用python + matplotlib，我让两个地块共享一个轴。如果在共享轴的同时尝试设置graph1.set_xticklabels([])，则不会产生任何效果，因为它是共享轴。有没有一种方法可以共享轴并能够隐藏一个图的x轴？

问matplotlib共享x轴，但不显示两个x轴的刻度标签，只显示一个
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问matplotlib共享x轴，但不显示两个x轴的刻度标签，只显示一个
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