blocks|key|2311425|text|#+Clear+the+current+axes.
plt.cla()+
#+Clear+the+current+figure.
plt.clf()+
#+Closes+all+the+figure+windows.
plt.close('all')|type|code-block|depth|inlineStyleRanges|entityRanges|data|syntax|javascript|2311426|希望这能帮到你|unstyled|2311427|entityMap^0|0|0^^$0|@$1|2|3|4|5|6|7|I|8|@]|9|@]|A|$B|C]]|$1|D|3|E|5|F|7|J|8|@]|9|@]|A|$]]|$1|G|3|-4|5|F|7|K|8|@]|9|@]|A|$]]]|H|$]]

<pre><code># Clear the current axes.
plt.cla() 
# Clear the current figure.
plt.clf() 
# Closes all the figure windows.
plt.close('all')
</code></pre>

Hope this can help you

blocks|key|2311443|text|plt.ioff()在笔记本上为我工作，plt.close(fig)则是这样。|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|2311444|entityMap^0|0|A|K|E|0^^$0|@$1|2|3|4|5|6|7|H|8|@$9|I|A|J|B|C]|$9|K|A|L|B|C]]|D|@]|E|$]]|$1|F|3|-4|5|6|7|M|8|@]|D|@]|E|$]]]|G|$]]

<code>plt.ioff()</code> worked for me in notebook,
<code>plt.close(fig)</code> otherwise.

blocks|key|2648824|text|#+Clear+the+current+axes.
plt.cla()+
#+Clear+the+current+figure.
plt.clf()+
#+Closes+all+the+figure+windows.
plt.close('all')+++
plt.close(fig)
gc.collect()|type|code-block|depth|inlineStyleRanges|entityRanges|data|syntax|javascript|2648825|这对我有用。把这些行放在循环的末尾！|unstyled|2648826|entityMap^0|0|0^^$0|@$1|2|3|4|5|6|7|I|8|@]|9|@]|A|$B|C]]|$1|D|3|E|5|F|7|J|8|@]|9|@]|A|$]]|$1|G|3|-4|5|F|7|K|8|@]|9|@]|A|$]]]|H|$]]

<pre class="lang-py prettyprint-override"><code># Clear the current axes.
plt.cla() 
# Clear the current figure.
plt.clf() 
# Closes all the figure windows.
plt.close('all') 
plt.close(fig)
gc.collect()
</code></pre>
This worked for me. Just put these lines at the end of the loop!

blocks|key|2648863|text|从这里拍摄：Matplotlib+errors+result+in+a+memory+leak.+How+can+I+free+up+that+memory?|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|2648864|其中有原始参考文献：https://www.mail-archive.com/matplotlib-users@lists.sourceforge.net/msg11809.html|2648865|要获得斧头和图形，请执行：|2648866|而不是：|2648867|import+matplotlib.pyplot+as+plt
fig,ax+=+plt.subplots(1)|code-block|syntax|javascript|2648868|用途：|2648869|from+matplotlib+import+figure
fig+=+figure.Figure()
ax+=+fig.subplots(1)|2648870|也不需要做plt.close()什么的。对我起作用了。|style|CODE|2648871|entityMap|0|LINK|mutability|MUTABLE|url|https://stackoverflow.com/questions/7125710/matplotlib-errors-result-in-a-memory-leak-how-can-i-free-up-that-memory|1|https://www.mail-archive.com/matplotlib-users@lists.sourceforge.net/msg11809.html^0|6|21|0|0|A|29|1|0|0|0|0|0|0|5|B|0^^$0|@$1|2|3|4|5|6|7|16|8|@]|9|@$A|17|B|18|1|19]]|C|$]]|$1|D|3|E|5|6|7|1A|8|@]|9|@$A|1B|B|1C|1|1D]]|C|$]]|$1|F|3|G|5|6|7|1E|8|@]|9|@]|C|$]]|$1|H|3|I|5|6|7|1F|8|@]|9|@]|C|$]]|$1|J|3|K|5|L|7|1G|8|@]|9|@]|C|$M|N]]|$1|O|3|P|5|6|7|1H|8|@]|9|@]|C|$]]|$1|Q|3|R|5|L|7|1I|8|@]|9|@]|C|$M|N]]|$1|S|3|T|5|6|7|1J|8|@$A|1K|B|1L|U|V]]|9|@]|C|$]]|$1|W|3|-4|5|6|7|1M|8|@]|9|@]|C|$]]]|X|$Y|$5|Z|10|11|C|$12|13]]|14|$5|Z|10|11|C|$12|15]]]]

Taken from here: <a href="https://stackoverflow.com/questions/7125710/matplotlib-errors-result-in-a-memory-leak-how-can-i-free-up-that-memory">Matplotlib errors result in a memory leak. How can I free up that memory?</a>
Which has original ref: <a href="https://www.mail-archive.com/matplotlib-users@lists.sourceforge.net/msg11809.html" rel="noreferrer">https://www.mail-archive.com/matplotlib-users@lists.sourceforge.net/msg11809.html</a>
To get ax and figure do:
instead of:
<pre><code>import matplotlib.pyplot as plt
fig,ax = plt.subplots(1)
</code></pre>
use:
<pre><code>from matplotlib import figure
fig = figure.Figure()
ax = fig.subplots(1)
</code></pre>
Also no need to do <code>plt.close()</code> or anything. It worked for me.

blocks|key|2311502|text|这里贴的东西对我没有用。在我的例子中，它与通过SSH解释器在服务器上运行有关。显然，这将使用一种非交互模式，并开始正常地清除所有内存：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|2311503|import+matplotlib
matplotlib.use('Agg')|code-block|syntax|javascript|2311504|来源：faq.html#work-with-threads|offset|length|2311505|entityMap|0|LINK|mutability|MUTABLE|url|https://matplotlib.org/stable/faq/howto_faq.html#work-with-threads^0|0|0|3|Q|0|0^^$0|@$1|2|3|4|5|6|7|S|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|T|8|@]|9|@]|A|$E|F]]|$1|G|3|H|5|6|7|U|8|@]|9|@$I|V|J|W|1|X]]|A|$]]|$1|K|3|-4|5|6|7|Y|8|@]|9|@]|A|$]]]|L|$M|$5|N|O|P|A|$Q|R]]]]

Nothing posted here worked for me. In my case, it had something to do with running on a server via SSH interpreter. Apparently this will use a non-interactive mode, and that started clearing all memory as normal:
<pre><code>import matplotlib
matplotlib.use('Agg')
</code></pre>
Source: <a href="https://matplotlib.org/stable/faq/howto_faq.html#work-with-threads" rel="noreferrer">https://matplotlib.org/stable/faq/howto_faq.html#work-with-threads</a>

I have a piece of code that works fine looping once or twice but eventually it builds up memory. I tried to locate the memory leakage with <code>memory_profiler</code> and this is the result:

<pre><code>row_nr Memory_usage Memory_diff row_text
 470 52.699 MiB 0.000 MiB ax.axis('off')
 471 167.504 MiB 114.805 MiB fig.savefig('figname.png', dpi=600)
 472 167.504 MiB 0.000 MiB fig.clf()
 473 109.711 MiB -57.793 MiB plt.close()
 474 109.711 MiB 0.000 MiB gc.collect()`
</code></pre>

I created the figure like this:
<code>fig, ax = plt.subplots()</code>

Any suggestion where the 109 - 52 = 57 MiB went?

I am using python 3.3.

Matplotlib doesn't release memory after savefig and close()

翻译质量差，导致语言生硬或混乱。

没有提供实际的解决方法或示例。

解答不清晰，无法理解或解决问题。

页面排版不美观，阅读体验差。

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我有一段代码，可以很好地循环一两次，但最终会建立起内存。我尝试用memory_profiler定位内存泄漏，结果是：row_nr    Memory_usage    Memory_diff    row_text 470     52.699 MiB     0.000 MiB      ax.axis('off')...

问Matplotlib在savefig和close()之后不会释放内存
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问Matplotlib在savefig和close()之后不会释放内存EN