blocks|key|260687|text|使用：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|260688|import+matplotlib.pyplot+as+plt

plt.gcf().subplots_adjust(bottom=0.15)

#+alternate+option+without+.gcf
plt.subplots_adjust(bottom=0.15)|code-block|syntax|javascript|260689|为标签腾出空间，其中plt.gcf()表示，获取当前图形。也可以使用获取当前Axes的plt.gca()。|offset|length|style|CODE|BOLD|260690|编辑：|260691|因为我给出了答案，所以matplotlib添加了函数。|260692|See+matplotlib+Tutorials:+Tight+Layout+Guide|260693|所以我建议使用它：|260694|fig,+axes+=+plt.subplots(ncols=2,+nrows=2,+figsize=(8,+6))
axes+=+axes.flatten()

for+ax+in+axes:
++++ax.set_ylabel(r'$\ln\left(\frac{x_a-x_b}{x_a-x_c}\right)$')
++++ax.set_xlabel(r'$\ln\left(\frac{x_a-x_d}{x_a-x_e}\right)$')

plt.tight_layout()
plt.show()|260695|​|260696|📷|atomic|260697|260698|entityMap|0|LINK|mutability|MUTABLE|url|https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.gcf.html|1|https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.gca.html|2|https://matplotlib.org/stable/tutorials/intermediate/tight_layout_guide.html|3|IMAGE|IMMUTABLE|imageUrl|https://ask.qcloudimg.com/http-save/yehe-900000/0137715c07b3dcb54caa8df58d2da40c.png|imageAlt^0|0|0|A|9|12|4|17|9|L|7|A|9|0|17|9|1|0|0|B|A|0|0|18|2|0|0|0|0|0|1|3|0|0^^$0|@$1|2|3|4|5|6|7|1L|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|1M|8|@]|9|@]|A|$E|F]]|$1|G|3|H|5|6|7|1N|8|@$I|1O|J|1P|K|L]|$I|1Q|J|1R|K|L]|$I|1S|J|1T|K|L]|$I|1U|J|1V|K|M]]|9|@$I|1W|J|1X|1|1Y]|$I|1Z|J|20|1|21]]|A|$]]|$1|N|3|O|5|6|7|22|8|@]|9|@]|A|$]]|$1|P|3|Q|5|6|7|23|8|@$I|24|J|25|K|L]]|9|@]|A|$]]|$1|R|3|S|5|6|7|26|8|@]|9|@$I|27|J|28|1|29]]|A|$]]|$1|T|3|U|5|6|7|2A|8|@]|9|@]|A|$]]|$1|V|3|W|5|D|7|2B|8|@]|9|@]|A|$E|F]]|$1|X|3|Y|5|6|7|2C|8|@]|9|@]|A|$]]|$1|Z|3|10|5|11|7|2D|8|@]|9|@$I|2E|J|2F|1|2G]]|A|$]]|$1|12|3|Y|5|6|7|2H|8|@]|9|@]|A|$]]|$1|13|3|-4|5|6|7|2I|8|@]|9|@]|A|$]]]|14|$15|$5|16|17|18|A|$19|1A]]|1B|$5|16|17|18|A|$19|1C]]|1D|$5|16|17|18|A|$19|1E]]|1F|$5|1G|17|1H|A|$1I|1J|1K|-4]]]]

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

plt.gcf().subplots_adjust(bottom=0.15)

# alternate option without .gcf
plt.subplots_adjust(bottom=0.15)
</code></pre>
to make room for the label, where <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.gcf.html" rel="noreferrer"><code>plt.gcf()</code></a> means get the current figure. <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.gca.html" rel="noreferrer"><code>plt.gca()</code></a>, which gets the current <code>Axes</code>, can also be used.
Edit:
Since I gave the answer, <code>matplotlib</code> has added the <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.tight_layout.html#matplotlib.pyplot.tight_layout" rel="noreferrer"><code>plt.tight_layout()</code></a> function.
<a href="https://matplotlib.org/stable/tutorials/intermediate/tight_layout_guide.html" rel="noreferrer">See matplotlib Tutorials: Tight Layout Guide</a>
So I suggest using it:
<pre><code>fig, axes = plt.subplots(ncols=2, nrows=2, figsize=(8, 6))
axes = axes.flatten()

for ax in axes:
 ax.set_ylabel(r'$\ln\left(\frac{x_a-x_b}{x_a-x_c}\right)$')
 ax.set_xlabel(r'$\ln\left(\frac{x_a-x_d}{x_a-x_e}\right)$')

plt.tight_layout()
plt.show()
</code></pre>
<a href="https://i.stack.imgur.com/uTnEP.png" rel="noreferrer"><img src="https://i.stack.imgur.com/uTnEP.png" alt="enter image description here" /></a>

blocks|key|3164623|text|您还可以在$HOME/.matplotlib/matplotlib_rc中将自定义填充设置为默认值，如下所示。在下面的示例中，我修改了底部填充和左侧开箱即用填充：|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|3164624|#+The+figure+subplot+parameters.++All+dimensions+are+a+fraction+of+the
#+figure+width+or+height
figure.subplot.left++:+0.1+#left+side+of+the+subplots+of+the+figure
#figure.subplot.right+:+0.9+
figure.subplot.bottom+:+0.15
...|code-block|syntax|javascript|3164625|entityMap^0|5|V|0|0^^$0|@$1|2|3|4|5|6|7|M|8|@$9|N|A|O|B|C]]|D|@]|E|$]]|$1|F|3|G|5|H|7|P|8|@]|D|@]|E|$I|J]]|$1|K|3|-4|5|6|7|Q|8|@]|D|@]|E|$]]]|L|$]]

You can also set custom padding as defaults in your <code>$HOME/.matplotlib/matplotlib_rc</code> as follows. In the example below I have modified both the bottom and left out-of-the-box padding:

<pre><code># The figure subplot parameters. All dimensions are a fraction of the
# figure width or height
figure.subplot.left : 0.1 #left side of the subplots of the figure
#figure.subplot.right : 0.9 
figure.subplot.bottom : 0.15
...
</code></pre>

blocks|key|2950835|text|一个简单的选择是配置matplotlib以自动调整绘图大小。它对我来说非常好用，我不确定为什么默认情况下没有激活它。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|2950836|方法1|offset|length|style|BOLD|2950837|在matplotlibrc文件中设置它|2950838|figure.autolayout+:+True|code-block|syntax|javascript|2950839|有关定制matplotlibrc文件的更多信息，请参见此处：http://matplotlib.org/users/customizing.html|2950840|方法2|2950841|在运行时更新rcParams，如下所示|2950842|from+matplotlib+import+rcParams
rcParams.update({'figure.autolayout':+True})|2950843|使用这种方法的好处是，您的代码将在不同配置的机器上生成相同的图形。|2950844|entityMap|0|LINK|mutability|MUTABLE|url|http://matplotlib.org/users/customizing.html^0|0|0|3|0|0|0|U|18|0|0|0|3|0|0|0|0^^$0|@$1|2|3|4|5|6|7|16|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|17|8|@$D|18|E|19|F|G]]|9|@]|A|$]]|$1|H|3|I|5|6|7|1A|8|@]|9|@]|A|$]]|$1|J|3|K|5|L|7|1B|8|@]|9|@]|A|$M|N]]|$1|O|3|P|5|6|7|1C|8|@]|9|@$D|1D|E|1E|1|1F]]|A|$]]|$1|Q|3|R|5|6|7|1G|8|@$D|1H|E|1I|F|G]]|9|@]|A|$]]|$1|S|3|T|5|6|7|1J|8|@]|9|@]|A|$]]|$1|U|3|V|5|L|7|1K|8|@]|9|@]|A|$M|N]]|$1|W|3|X|5|6|7|1L|8|@]|9|@]|A|$]]|$1|Y|3|-4|5|6|7|1M|8|@]|9|@]|A|$]]]|Z|$10|$5|11|12|13|A|$14|15]]]]

An easy option is to configure matplotlib to automatically adjust the plot size. It works perfectly for me and I'm not sure why it's not activated by default.

Method 1

Set this in your matplotlibrc file

<pre><code>figure.autolayout : True
</code></pre>

See here for more information on customizing the matplotlibrc file: <a href="http://matplotlib.org/users/customizing.html">http://matplotlib.org/users/customizing.html</a>

Method 2

Update the rcParams during runtime like this

<pre><code>from matplotlib import rcParams
rcParams.update({'figure.autolayout': True})
</code></pre>

The advantage of using this approach is that your code will produce the same graphs on differently-configured machines.

blocks|key|3164644|text|如果您想要将其存储到文件中，可以使用bbox_inches="tight"参数解决它：|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|3164645|plt.savefig('myfile.png',+bbox_inches="tight")|code-block|syntax|javascript|3164646|entityMap^0|I|J|0|0^^$0|@$1|2|3|4|5|6|7|M|8|@$9|N|A|O|B|C]]|D|@]|E|$]]|$1|F|3|G|5|H|7|P|8|@]|D|@]|E|$I|J]]|$1|K|3|-4|5|6|7|Q|8|@]|D|@]|E|$]]]|L|$]]

In case you want to store it to a file, you solve it using <code>bbox_inches=&quot;tight&quot;</code> argument:
<pre><code>plt.savefig('myfile.png', bbox_inches=&quot;tight&quot;)
</code></pre>

blocks|key|2950871|text|plt.autoscale()为我工作。|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|2950872|entityMap^0|0|F|0^^$0|@$1|2|3|4|5|6|7|H|8|@$9|I|A|J|B|C]]|D|@]|E|$]]|$1|F|3|-4|5|6|7|K|8|@]|D|@]|E|$]]]|G|$]]

<code>plt.autoscale()</code> worked for me.

blocks|key|258553|text|由于某些原因，sharex被设置为True，所以我将其重新设置为False，它工作得很好。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|258554|df.plot(........,sharex=False)|code-block|syntax|javascript|258555|entityMap^0|0|0^^$0|@$1|2|3|4|5|6|7|I|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|J|8|@]|9|@]|A|$E|F]]|$1|G|3|-4|5|6|7|K|8|@]|9|@]|A|$]]]|H|$]]

for some reason sharex was set to True so I turned it back to False and it worked fine.
<pre><code>df.plot(........,sharex=False)
</code></pre>

blocks|key|258557|text|还有一种方法是使用OOP接口，将tight_layout直接应用于图形：|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|258558|fig,+ax+=+plt.subplots()
fig.set_tight_layout(True)|code-block|syntax|javascript|258559|https://matplotlib.org/stable/api/figure_api.html|258560|entityMap|0|LINK|mutability|MUTABLE|url^0|G|C|0|0|0|1D|0|0^^$0|@$1|2|3|4|5|6|7|T|8|@$9|U|A|V|B|C]]|D|@]|E|$]]|$1|F|3|G|5|H|7|W|8|@]|D|@]|E|$I|J]]|$1|K|3|L|5|6|7|X|8|@]|D|@$9|Y|A|Z|1|10]]|E|$]]|$1|M|3|-4|5|6|7|11|8|@]|D|@]|E|$]]]|N|$O|$5|P|Q|R|E|$S|L]]]]

There is also a way to do this using the OOP interface, applying <code>tight_layout</code> directly to a figure:
<pre><code>fig, ax = plt.subplots()
fig.set_tight_layout(True)
</code></pre>
<a href="https://matplotlib.org/stable/api/figure_api.html" rel="nofollow noreferrer">https://matplotlib.org/stable/api/figure_api.html</a>

blocks|key|262582|text|您需要使用sizzors来修改轴范围：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|262583|import+sizzors+as+sizzors_module

sizzors_module.reshape_the_axis(plt).save("literlymylief.tiff")|code-block|syntax|javascript|262584|entityMap^0|0|0^^$0|@$1|2|3|4|5|6|7|I|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|J|8|@]|9|@]|A|$E|F]]|$1|G|3|-4|5|6|7|K|8|@]|9|@]|A|$]]]|H|$]]

You need to use sizzors to modify the axis-range:
<pre class="lang-py prettyprint-override"><code>import sizzors as sizzors_module

sizzors_module.reshape_the_axis(plt).save(&quot;literlymylief.tiff&quot;)
</code></pre>

<h2>Updated MRE with subplots</h2>
<ul>
<li>I'm not sure of the usefulness of the original question and MRE. The margin padding seems to be properly adjusted for large x and y labels.</li>
<li>The issue is reproducible with subplots.</li>
<li>Using <code>matplotlib 3.4.2</code></li>
</ul>
<pre class="lang-py prettyprint-override"><code>fig, axes = plt.subplots(ncols=2, nrows=2, figsize=(8, 6))
axes = axes.flatten()

for ax in axes:
 ax.set_ylabel(r'$\ln\left(\frac{x_a-x_b}{x_a-x_c}\right)$')
 ax.set_xlabel(r'$\ln\left(\frac{x_a-x_d}{x_a-x_e}\right)$')

plt.show()
</code></pre>
<a href="https://i.stack.imgur.com/RZ0QA.png" rel="noreferrer"><img src="https://i.stack.imgur.com/RZ0QA.png" alt="enter image description here" /></a>
<h2>Original</h2>
I am plotting a dataset using <code>matplotlib</code> where I have an xlabel that is quite &quot;tall&quot; (it's a formula rendered in TeX that contains a fraction and is therefore has the height equivalent of a couple of lines of text).
In any case, the bottom of the formula is always cut off when I draw the figures. Changing figure size doesn't seem to help this, and I haven't been able to figure out how to shift the x-axis &quot;up&quot; to make room for the xlabel. Something like that would be a reasonable temporary solution, but what would be nice would be to have a way to make matplotlib recognize automatically that the label is cut off and resize accordingly.
Here's an example of what I mean:
<pre><code>import matplotlib.pyplot as plt

plt.figure()
plt.ylabel(r'$\ln\left(\frac{x_a-x_b}{x_a-x_c}\right)$')
plt.xlabel(r'$\ln\left(\frac{x_a-x_d}{x_a-x_e}\right)$', fontsize=50)
plt.title('Example with matplotlib 3.4.2\nMRE no longer an issue')
plt.show()
</code></pre>
<a href="https://i.stack.imgur.com/pJ9qx.png" rel="noreferrer"><img src="https://i.stack.imgur.com/pJ9qx.png" alt="enter image description here" /></a>
The entire ylabel is visible, however, the xlabel is cut off at the bottom.
In the case this is a machine-specific problem, I am running this on OSX 10.6.8 with matplotlib 1.0.0

How to adjust padding with cutoff or overlapping labels

用子图更新了MRE我不确定原始问题和MRE的用处。对于较大的x和y标签，页边距填充似乎进行了适当的调整。subplots.Using matplotlib 3.4.2可重现此问题。fig, axes = plt.subplots(ncols=2, nrows=2, figsize=(8, 6))axes = axes....

问如何调整带有截断或重叠标签的填充
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