blocks|key|1544842|text|在1.3.0版本上编辑matplotlib+now+(2013-10)，其中包括以下内容|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1544843|该功能实际上是刚刚添加的，您需要Subversion版本才能使用它。您可以看到示例代码here。|offset|length|1544844|我只是更新一下，现在有了更好的example+online。仍然需要Subversion版本，但是还没有发布这个版本。|1544845|edit+Matplotlib+0.99.0+RC1刚刚发布，并包含此功能。|1544846|entityMap|0|LINK|mutability|MUTABLE|url|http://matplotlib.org/examples/pylab_examples/spine_placement_demo.html|1|https://github.com/ericliang/matplotlib/blob/master/tags/v0_99_0/examples/axes_grid/simple_axisline3.py^0|0|17|4|0|0|F|7|1|0|0^^$0|@$1|2|3|4|5|6|7|T|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|U|8|@]|9|@$D|V|E|W|1|X]]|A|$]]|$1|F|3|G|5|6|7|Y|8|@]|9|@$D|Z|E|10|1|11]]|A|$]]|$1|H|3|I|5|6|7|12|8|@]|9|@]|A|$]]|$1|J|3|-4|5|6|7|13|8|@]|9|@]|A|$]]]|K|$L|$5|M|N|O|A|$P|Q]]|R|$5|M|N|O|A|$P|S]]]]

[edit] matplotlib in now (2013-10) on version 1.3.0 which includes this

That ability was actually just added, and you need the Subversion version for it. You can see the example code <a href="http://matplotlib.org/examples/pylab_examples/spine_placement_demo.html" rel="nofollow noreferrer">here</a>.

I am just updating to say that there's a better <a href="https://github.com/ericliang/matplotlib/blob/master/tags/v0_99_0/examples/axes_grid/simple_axisline3.py" rel="nofollow noreferrer">example</a> online now. Still need the Subversion version though, there hasn't been a release with this yet.

[edit] Matplotlib 0.99.0 RC1 was just released, and includes this capability.

blocks|key|1329693|text|如果您不需要刻度之类的标记(例如，用于绘制定性插图)，您也可以使用此快速解决方法：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1329694|使轴不可见(例如，使用plt.gca().axison+=+False)，然后使用plt.arrow手动绘制它们。|offset|length|style|CODE|1329695|entityMap^0|0|B|O|15|9|0^^$0|@$1|2|3|4|5|6|7|J|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|K|8|@$D|L|E|M|F|G]|$D|N|E|O|F|G]]|9|@]|A|$]]|$1|H|3|-4|5|6|7|P|8|@]|9|@]|A|$]]]|I|$]]

If you don't need ticks and such (e.g. for plotting qualitative illustrations) you could also use this quick workaround: 

Make the axis invisible (e.g. with <code>plt.gca().axison = False</code>) and then draw them manually with <code>plt.arrow</code>.

blocks|key|1329723|text|或者，这是|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1329724|def+simpleaxis(ax):
++++ax.spines['top'].set_visible(False)
++++ax.spines['right'].set_visible(False)
++++ax.get_xaxis().tick_bottom()
++++ax.get_yaxis().tick_left()|code-block|syntax|javascript|1329725|在不丢失旋转标签支持的情况下，似乎可以在轴上实现相同的效果。|1329726|(Matplotlib+1.0.1；受this启发的解决方案)。|offset|length|1329727|entityMap|0|LINK|mutability|MUTABLE|url|http://www.shocksolution.com/2011/08/removing-an-axis-or-both-axes-from-a-matplotlib-plot/^0|0|0|0|J|4|0|0^^$0|@$1|2|3|4|5|6|7|U|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|V|8|@]|9|@]|A|$E|F]]|$1|G|3|H|5|6|7|W|8|@]|9|@]|A|$]]|$1|I|3|J|5|6|7|X|8|@]|9|@$K|Y|L|Z|1|10]]|A|$]]|$1|M|3|-4|5|6|7|11|8|@]|9|@]|A|$]]]|N|$O|$5|P|Q|R|A|$S|T]]]]

Alternatively, this

<pre><code>def simpleaxis(ax):
 ax.spines['top'].set_visible(False)
 ax.spines['right'].set_visible(False)
 ax.get_xaxis().tick_bottom()
 ax.get_yaxis().tick_left()
</code></pre>

seems to achieve the same effect on an axis without losing rotated label support.

(Matplotlib 1.0.1; solution inspired by <a href="http://www.shocksolution.com/2011/08/removing-an-axis-or-both-axes-from-a-matplotlib-plot/" rel="noreferrer">this</a>).

blocks|key|1329767|text|这是官方网站HERE推荐的Matplotlib3解决方案|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|1329768|import+numpy+as+np
import+matplotlib.pyplot+as+plt

x+=+np.linspace(0,+2*np.pi,+100)
y+=+np.sin(x)

ax+=+plt.subplot(111)
ax.plot(x,+y)

#+Hide+the+right+and+top+spines
ax.spines['right'].set_visible(False)
ax.spines['top'].set_visible(False)

#+Only+show+ticks+on+the+left+and+bottom+spines
ax.yaxis.set_ticks_position('left')
ax.xaxis.set_ticks_position('bottom')

plt.show()|code-block|syntax|javascript|1329769|​|1329770|📷|atomic|1329771|1329772|entityMap|0|LINK|mutability|MUTABLE|url|http://matplotlib.org/examples/ticks_and_spines/spines_demo.html|1|IMAGE|IMMUTABLE|imageUrl|https://ask.qcloudimg.com/http-save/yehe-900000/e5b13de2b1cff03abd574d893a52e1e0.png|imageAlt^0|6|4|0|0|0|0|0|1|1|0|0^^$0|@$1|2|3|4|5|6|7|12|8|@]|9|@$A|13|B|14|1|15]]|C|$]]|$1|D|3|E|5|F|7|16|8|@]|9|@]|C|$G|H]]|$1|I|3|J|5|6|7|17|8|@]|9|@]|C|$]]|$1|K|3|L|5|M|7|18|8|@]|9|@$A|19|B|1A|1|1B]]|C|$]]|$1|N|3|J|5|6|7|1C|8|@]|9|@]|C|$]]|$1|O|3|-4|5|6|7|1D|8|@]|9|@]|C|$]]]|P|$Q|$5|R|S|T|C|$U|V]]|W|$5|X|S|Y|C|$Z|10|11|-4]]]]

This is the suggested Matplotlib 3 solution from the official website <a href="http://matplotlib.org/examples/ticks_and_spines/spines_demo.html" rel="noreferrer">HERE</a>:

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

x = np.linspace(0, 2*np.pi, 100)
y = np.sin(x)

ax = plt.subplot(111)
ax.plot(x, y)

# Hide the right and top spines
ax.spines['right'].set_visible(False)
ax.spines['top'].set_visible(False)

# Only show ticks on the left and bottom spines
ax.yaxis.set_ticks_position('left')
ax.xaxis.set_ticks_position('bottom')

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

<img src="https://i.stack.imgur.com/3dwiV.png" alt="enter image description here">

blocks|key|1329818|text|库Seaborn在函数.despine()中内置了这一点。|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|1329819|只需添加：|1329820|import+seaborn+as+sns|code-block|syntax|javascript|1329821|现在创建您的图表。并在末尾添加：|1329822|sns.despine()|1329823|如果您查看该函数的一些默认参数值，它将移除顶部和右侧脊椎，并保留底部和左侧脊椎：|1329824|sns.despine(top=True,+right=True,+left=False,+bottom=False)|1329825|请在此处查看更多文档：https://seaborn.pydata.org/generated/seaborn.despine.html|1329826|entityMap|0|LINK|mutability|MUTABLE|url|https://seaborn.pydata.org/generated/seaborn.despine.html^0|B|A|0|0|0|0|0|0|0|B|1L|0|0^^$0|@$1|2|3|4|5|6|7|14|8|@$9|15|A|16|B|C]]|D|@]|E|$]]|$1|F|3|G|5|6|7|17|8|@]|D|@]|E|$]]|$1|H|3|I|5|J|7|18|8|@]|D|@]|E|$K|L]]|$1|M|3|N|5|6|7|19|8|@]|D|@]|E|$]]|$1|O|3|P|5|J|7|1A|8|@]|D|@]|E|$K|L]]|$1|Q|3|R|5|6|7|1B|8|@]|D|@]|E|$]]|$1|S|3|T|5|J|7|1C|8|@]|D|@]|E|$K|L]]|$1|U|3|V|5|6|7|1D|8|@]|D|@$9|1E|A|1F|1|1G]]|E|$]]|$1|W|3|-4|5|6|7|1H|8|@]|D|@]|E|$]]]|X|$Y|$5|Z|10|11|E|$12|13]]]]

Library Seaborn has this built in with function <code>.despine()</code>.
Just add:
<pre><code>import seaborn as sns
</code></pre>
Now create your graph. And add at the end:
<pre><code>sns.despine()
</code></pre>
If you look at some of the default parameter values of the function it removes the top and right spine and keeps the bottom and left spine:
<pre><code>sns.despine(top=True, right=True, left=False, bottom=False)
</code></pre>
Check out further documentation here:
<a href="https://seaborn.pydata.org/generated/seaborn.despine.html" rel="nofollow noreferrer">https://seaborn.pydata.org/generated/seaborn.despine.html</a>

blocks|key|1329878|text|如果需要将其从所有绘图中删除，可以在样式设置(样式表或rcParams)中删除脊线。例如：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1329879|import+matplotlib+as+mpl

mpl.rcParams['axes.spines.right']+=+False
mpl.rcParams['axes.spines.top']+=+False|code-block|syntax|javascript|1329880|如果要移除所有脊椎：|1329881|mpl.rcParams['axes.spines.left']+=+False
mpl.rcParams['axes.spines.right']+=+False
mpl.rcParams['axes.spines.top']+=+False
mpl.rcParams['axes.spines.bottom']+=+False|1329882|entityMap^0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|M|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|N|8|@]|9|@]|A|$E|F]]|$1|G|3|H|5|6|7|O|8|@]|9|@]|A|$]]|$1|I|3|J|5|D|7|P|8|@]|9|@]|A|$E|F]]|$1|K|3|-4|5|6|7|Q|8|@]|9|@]|A|$]]]|L|$]]

If you need to remove it from all your plots, you can remove spines in style settings (style sheet or rcParams). E.g:

<pre><code>import matplotlib as mpl

mpl.rcParams['axes.spines.right'] = False
mpl.rcParams['axes.spines.top'] = False
</code></pre>

If you want to remove all spines:

<pre><code>mpl.rcParams['axes.spines.left'] = False
mpl.rcParams['axes.spines.right'] = False
mpl.rcParams['axes.spines.top'] = False
mpl.rcParams['axes.spines.bottom'] = False
</code></pre>

blocks|key|1545160|text|另一种以非全局方式完成此操作的方法是使用matplotlib.pyplot.rc_context上下文管理器，如下所示：|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|1545161|with+plt.rc_context({
++++"axes.spines.right":+False,
++++"axes.spines.top":+False,
}):
++++fig,+ax+=+plt.subplots()
++++...|code-block|syntax|javascript|1545162|entityMap|0|LINK|mutability|MUTABLE|url|https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.rc_context.html^0|K|S|K|S|0|0|0^^$0|@$1|2|3|4|5|6|7|S|8|@$9|T|A|U|B|C]]|D|@$9|V|A|W|1|X]]|E|$]]|$1|F|3|G|5|H|7|Y|8|@]|D|@]|E|$I|J]]|$1|K|3|-4|5|6|7|Z|8|@]|D|@]|E|$]]]|L|$M|$5|N|O|P|E|$Q|R]]]]

Another way of doing this in a non-global way is using the <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.rc_context.html" rel="nofollow noreferrer"><code>matplotlib.pyplot.rc_context</code></a> context manager, as follows:
<pre><code>with plt.rc_context({
 &quot;axes.spines.right&quot;: False,
 &quot;axes.spines.top&quot;: False,
}):
 fig, ax = plt.subplots()
 ...
</code></pre>

blocks|key|1545223|text|如果您想要频繁地应用此设置，您还可以创建一个如here所述的样式表，并使用以下设置：|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|1545224|axes.spines.left:+++True
axes.spines.bottom:+True
axes.spines.top:++++False
axes.spines.right:++False|code-block|syntax|javascript|1545225|entityMap|0|LINK|mutability|MUTABLE|url|https://matplotlib.org/stable/tutorials/introductory/customizing.html#customizing-with-style-sheets^0|N|4|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]]]]

In case you want to apply this on a frequent basis, you can also create a style sheet as described <a href="https://matplotlib.org/stable/tutorials/introductory/customizing.html#customizing-with-style-sheets" rel="nofollow noreferrer">here</a> and use these settings:
<pre><code>axes.spines.left: True
axes.spines.bottom: True
axes.spines.top: False
axes.spines.right: False
</code></pre>

Instead of the default "boxed" axis style I want to have only the left and bottom axis, i.e.:

<pre><code>+------+ |
| | |
| | ---&gt; |
| | |
+------+ +-------
</code></pre>

This should be easy, but I can't find the necessary options in the docs.

How can I remove the top and right axis in matplotlib?

我希望只有左轴和底轴，而不是默认的“长方体”轴样式，即：+------+         ||      |         ||      |   --->  ||      |         |+------+         +-------这应该很简单，但我在文档中找不到必要的选项。

问如何在matplotlib中删除顶轴和右轴？
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