blocks|key|2395300|text|你可以输入|type|unstyled|depth|inlineStyleRanges|entityRanges|data|2395301|import+pylab
pylab.show()|code-block|syntax|javascript|2395302|或者更好，使用ipython+-pylab。|offset|length|style|CODE|2395303|2395304|由于使用了pylab+is+not+recommended+anymore，现在的解决方案应该是|2395305|import+matplotlib.pyplot+as+plt

plt.plot([1,2,3])

plt.show()|2395306|entityMap|0|LINK|mutability|MUTABLE|url|https://matplotlib.org/3.1.1/api/index.html#the-pylab-api-disapproved^0|0|0|7|E|0|0|5|5|B|Q|0|0|0^^$0|@$1|2|3|4|5|6|7|Z|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|10|8|@]|9|@]|A|$E|F]]|$1|G|3|H|5|6|7|11|8|@$I|12|J|13|K|L]]|9|@]|A|$]]|$1|M|3|-4|5|6|7|14|8|@]|9|@]|A|$]]|$1|N|3|O|5|6|7|15|8|@$I|16|J|17|K|L]]|9|@$I|18|J|19|1|1A]]|A|$]]|$1|P|3|Q|5|D|7|1B|8|@]|9|@]|A|$E|F]]|$1|R|3|-4|5|6|7|1C|8|@]|9|@]|A|$]]]|S|$T|$5|U|V|W|A|$X|Y]]]]

You can type

<pre><code>import pylab
pylab.show()
</code></pre>

or better, use <code>ipython -pylab</code>.

<hr>

Since the use of <code>pylab</code> <a href="https://matplotlib.org/3.1.1/api/index.html#the-pylab-api-disapproved" rel="noreferrer">is not recommended anymore</a>, the solution would nowadays be 

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

plt.plot([1,2,3])

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

blocks|key|11407|text|pylab.show()可以工作，但会阻塞(您需要关闭窗口)。|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|11408|一种更方便的解决方案是在启动时执行pylab.ion()+(交互式模式打开)：所有(+pylab等效项)+pyplot.*命令都会立即显示它们的绘图。More+information+on+the+interactive+mode可以在官方网站上找到。|11409|我还再次使用了更方便的ipython+-pylab+(--pylab，在较新版本中)，它允许您跳过from+…+import+…部分(%25pylab在较新版本的IPython中也可以使用)。|11410|entityMap|0|LINK|mutability|MUTABLE|url|http://matplotlib.sourceforge.net/faq/usage_faq.html#what-is-interactive-mode^0|0|C|0|H|B|1H|8|23|14|0|0|B|E|R|7|1D|F|1V|6|0^^$0|@$1|2|3|4|5|6|7|R|8|@$9|S|A|T|B|C]]|D|@]|E|$]]|$1|F|3|G|5|6|7|U|8|@$9|V|A|W|B|C]|$9|X|A|Y|B|C]]|D|@$9|Z|A|10|1|11]]|E|$]]|$1|H|3|I|5|6|7|12|8|@$9|13|A|14|B|C]|$9|15|A|16|B|C]|$9|17|A|18|B|C]|$9|19|A|1A|B|C]]|D|@]|E|$]]|$1|J|3|-4|5|6|7|1B|8|@]|D|@]|E|$]]]|K|$L|$5|M|N|O|E|$P|Q]]]]

<code>pylab.show()</code> works but blocks (you need to close the window).

A much more convenient solution is to do <code>pylab.ion()</code> (interactive mode on) when you start: all (the pylab equivalents of) <code>pyplot.*</code> commands display their plot immediately. <a href="http://matplotlib.sourceforge.net/faq/usage_faq.html#what-is-interactive-mode" rel="noreferrer">More information on the interactive mode</a> can be found on the official web site.

I also second using the even more convenient <code>ipython -pylab</code> (<code>--pylab</code>, in newer versions), which allows you to skip the <code>from … import …</code> part (<code>%pylab</code> works, too, in newer IPython versions).

blocks|key|2395382|text|试试这个：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|2395383|import+matplotlib
matplotlib.use('TkAgg')+|code-block|syntax|javascript|2395384|导入pylab之前|2395385|entityMap^0|0|0|0^^$0|@$1|2|3|4|5|6|7|K|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|L|8|@]|9|@]|A|$E|F]]|$1|G|3|H|5|6|7|M|8|@]|9|@]|A|$]]|$1|I|3|-4|5|6|7|N|8|@]|9|@]|A|$]]]|J|$]]

Try this:

<pre><code>import matplotlib
matplotlib.use('TkAgg') 
</code></pre>

BEFORE import pylab

blocks|key|986153|text|下面的代码片段可以在Eclipse和Python+shell上运行：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|986154|import+numpy+as+np
import+matplotlib.pyplot+as+plt

#+Come+up+with+x+and+y
x+=+np.arange(0,+5,+0.1)
y+=+np.sin(x)

#+Just+print+x+and+y+for+fun
print+x
print+y

#+Plot+the+x+and+y+and+you+are+supposed+to+see+a+sine+curve
plt.plot(x,+y)

#+Without+the+line+below,+the+figure+won't+show
plt.show()|code-block|syntax|javascript|986155|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|$]]

The code snippet below works on both Eclipse and the Python shell:

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

# Come up with x and y
x = np.arange(0, 5, 0.1)
y = np.sin(x)

# Just print x and y for fun
print x
print y

# Plot the x and y and you are supposed to see a sine curve
plt.plot(x, y)

# Without the line below, the figure won't show
plt.show()
</code></pre>

blocks|key|2395267|text|是否出现错误？这可能是一个没有设置后端的问题。您可以从Python解释器或主目录中的配置文件(.matplotlib/matplotlibrc)中设置它。|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|2395268|要在代码中设置后端，您可以这样做|2395269|import+matplotlib
matplotlib.use('Agg')|code-block|syntax|javascript|2395270|其中'Agg‘是后端的名称。存在哪些后端取决于您的安装和操作系统。|2395271|http://matplotlib.sourceforge.net/faq/installing_faq.html#backends|2395272|http://matplotlib.org/users/customizing.html|2395273|entityMap|0|LINK|mutability|MUTABLE|url|1^0|1B|O|0|0|0|0|0|1U|0|0|0|18|1|0^^$0|@$1|2|3|4|5|6|7|10|8|@$9|11|A|12|B|C]]|D|@]|E|$]]|$1|F|3|G|5|6|7|13|8|@]|D|@]|E|$]]|$1|H|3|I|5|J|7|14|8|@]|D|@]|E|$K|L]]|$1|M|3|N|5|6|7|15|8|@]|D|@]|E|$]]|$1|O|3|P|5|6|7|16|8|@]|D|@$9|17|A|18|1|19]]|E|$]]|$1|Q|3|R|5|6|7|1A|8|@]|D|@$9|1B|A|1C|1|1D]]|E|$]]|$1|S|3|-4|5|6|7|1E|8|@]|D|@]|E|$]]]|T|$U|$5|V|W|X|E|$Y|P]]|Z|$5|V|W|X|E|$Y|R]]]]

Any errors show up? This might an issue of not having set the backend. You can set it from the Python interpreter or from a config file (<code>.matplotlib/matplotlibrc</code>) in you home directory.

To set the backend in code you can do

<pre><code>import matplotlib
matplotlib.use('Agg')
</code></pre>

where 'Agg' is the name of the backend. Which backends are present depend on your installation and OS.

<a href="http://matplotlib.sourceforge.net/faq/installing_faq.html#backends" rel="noreferrer">http://matplotlib.sourceforge.net/faq/installing_faq.html#backends</a>

<a href="http://matplotlib.org/users/customizing.html" rel="noreferrer">http://matplotlib.org/users/customizing.html</a>

blocks|key|759758|text|现代IPython使用"--matplotlib“参数和一个可选的后端参数。默认为"auto"，通常在Mac和Windows上就足够好了。我没有在Ubuntu或任何其他Linux发行版上测试过它，但我希望它能工作。|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|759759|ipython+--matplotlib|code-block|syntax|javascript|759760|entityMap^0|C|C|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|$]]

Modern IPython uses the "<code>--matplotlib</code>" argument with an optional backend parameter. It defaults to "auto", which is usually good enough on Mac and Windows. I haven't tested it on Ubuntu or any other Linux distribution, but I would expect it to work.

<pre><code>ipython --matplotlib
</code></pre>

blocks|key|759681|text|如果您遇到pylab.show()冻结IPython窗口的问题(这可能是Mac特定的；不确定)，您可以在IPython窗口中使用cmd-c，切换到绘图窗口，它将会中断。|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|759682|显然，将来对pylab.show()的调用不会冻结IPython窗口，只会冻结第一个调用。不幸的是，我发现每次重新安装matplotlib时，绘图窗口的行为/与show()的交互都会发生变化，因此这个解决方案可能并不总是有效。|759683|entityMap^0|5|C|0|6|C|0^^$0|@$1|2|3|4|5|6|7|J|8|@$9|K|A|L|B|C]]|D|@]|E|$]]|$1|F|3|G|5|6|7|M|8|@$9|N|A|O|B|C]]|D|@]|E|$]]|$1|H|3|-4|5|6|7|P|8|@]|D|@]|E|$]]]|I|$]]

If you encounter an issue in which <code>pylab.show()</code> freezes the IPython window (this may be Mac&nbsp;OS&nbsp;X specific; not sure), you can cmd-c in the IPython window, switch to the plot window, and it will break out. 

Apparently, future calls to <code>pylab.show()</code> will not freeze the IPython window, only the first call. Unfortunately, I've found that the behavior of the plot window / interactions with show() changes every time I reinstall matplotlib, so this solution may not always hold.

blocks|key|759082|text|如果使用--pylab选项启动IPython，则不需要调用show()或draw()。试试这个：|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|759083|ipython++--pylab=inline|code-block|syntax|javascript|759084|entityMap^0|4|7|T|6|10|6|0|0^^$0|@$1|2|3|4|5|6|7|M|8|@$9|N|A|O|B|C]|$9|P|A|Q|B|C]|$9|R|A|S|B|C]]|D|@]|E|$]]|$1|F|3|G|5|H|7|T|8|@]|D|@]|E|$I|J]]|$1|K|3|-4|5|6|7|U|8|@]|D|@]|E|$]]]|L|$]]

If you are starting IPython with the <code>--pylab</code> option, you shouldn't need to call <code>show()</code> or <code>draw()</code>. Try this:

<pre><code>ipython --pylab=inline
</code></pre>

blocks|key|759098|text|--pylab不再适用于Jupyter，但幸运的是，我们可以在ipython_config.py文件中添加一个调整，以获得pylab和autoreload功能。|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|759099|c.InteractiveShellApp.extensions+=+['autoreload',+'pylab']
c.InteractiveShellApp.exec_lines+=+['%25autoreload+2',+'%25pylab']|code-block|syntax|javascript|759100|entityMap|0|LINK|mutability|MUTABLE|url|https://en.wikipedia.org/wiki/IPython#Project_Jupyter^0|0|7|V|H|1P|5|1V|A|C|7|0|0|0^^$0|@$1|2|3|4|5|6|7|S|8|@$9|T|A|U|B|C]|$9|V|A|W|B|C]|$9|X|A|Y|B|C]|$9|Z|A|10|B|C]]|D|@$9|11|A|12|1|13]]|E|$]]|$1|F|3|G|5|H|7|14|8|@]|D|@]|E|$I|J]]|$1|K|3|-4|5|6|7|15|8|@]|D|@]|E|$]]]|L|$M|$5|N|O|P|E|$Q|R]]]]

<code>--pylab</code> no longer works for <a href="https://en.wikipedia.org/wiki/IPython#Project_Jupyter" rel="nofollow noreferrer">Jupyter</a>, but fortunately we can add a tweak in the <code>ipython_config.py</code> file to get both <code>pylab</code> as well as <code>autoreload</code> functionalities.

<pre><code>c.InteractiveShellApp.extensions = ['autoreload', 'pylab']
c.InteractiveShellApp.exec_lines = ['%autoreload 2', '%pylab']
</code></pre>

blocks|key|11528|text|如果你是Anaconda和Spyder的用户，那么对你来说最好的解决方案是：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|11529|工具-->首选项-->+Ipython控制台-->图形部分|11530|然后在图形支持(Matplotlib)部分：|offset|length|style|BOLD|11531|选择两个可用选项|11532|和在图形后端中|11533|选择Automatic|11534|entityMap^0|0|0|3|G|0|0|2|4|0|2|9|0^^$0|@$1|2|3|4|5|6|7|R|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|S|8|@]|9|@]|A|$]]|$1|D|3|E|5|6|7|T|8|@$F|U|G|V|H|I]]|9|@]|A|$]]|$1|J|3|K|5|6|7|W|8|@]|9|@]|A|$]]|$1|L|3|M|5|6|7|X|8|@$F|Y|G|Z|H|I]]|9|@]|A|$]]|$1|N|3|O|5|6|7|10|8|@$F|11|G|12|H|I]]|9|@]|A|$]]|$1|P|3|-4|5|6|7|13|8|@]|9|@]|A|$]]]|Q|$]]

If you are user of Anaconda and Spyder then best solution for you is that :

Tools
-->
Preferences
-->
Ipython console
-->
Graphic Section

Then in the Support for graphics (Matplotlib) section:

select two avaliable options

and in the Graphics Backend:

select Automatic

blocks|key|11477|text|使用easy_install时的另一种可能是，您需要最新版本的matplotlib。尝试：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|11478|import+pkg_resources
pkg_resources.require("matplotlib")|code-block|syntax|javascript|11479|在导入matplotlib或其任何模块之前。|11480|entityMap^0|0|0|0^^$0|@$1|2|3|4|5|6|7|K|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|L|8|@]|9|@]|A|$E|F]]|$1|G|3|H|5|6|7|M|8|@]|9|@]|A|$]]|$1|I|3|-4|5|6|7|N|8|@]|9|@]|A|$]]]|J|$]]

Another possibility when using easy_install is that you need to require the most recent version of matplotlib.
Try:

<pre><code>import pkg_resources
pkg_resources.require("matplotlib")
</code></pre>

before you import matplotlib or any of its modules.

I just installed matplotlib in Ubuntu 9.10 using the synaptic package system. 
However, when I try the following simple example

<pre><code>&gt;&gt;&gt; from pylab import plot;
&gt;&gt;&gt; plot([1,2,3],[1,2,3])
[&lt;matplotlib.lines.Line2D object at 0x9aa78ec&gt;]
</code></pre>

I get no plot window. Any ideas on how to get the plot window to show?

No plot window in matplotlib

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。

文章

问答

视频

学习中心

腾讯云实验室

直播

竞赛

腾讯云代码分析专区

腾讯iOA零信任安全管理系统专区

腾讯云架构师技术同盟交流圈

腾讯云数据库专区

腾讯云顾问专区

腾讯云原生专区

腾讯混元专区

腾讯云TCE专区

腾讯云Lighthouse专区

腾讯云HAI专区

腾讯云Edgeone专区

腾讯云存储专区

腾讯云智能专区

腾讯轻联专区 

腾讯云开发专区

TAPD专区

腾讯轻量云游戏服专区

腾讯云最具价值专家

腾讯云架构师技术同盟

腾讯云创作之星

腾讯云开发者先锋

腾讯云代码助手

云原生构建

TAPD 敏捷项目管理

Cloud Studio

SDK中心

API中心

命令行工具

涵盖代码开发、场景应用、自动测试全流程，助你从零构建专属AI助手

一站式MCP教程库，解锁AI应用新玩法

我刚刚使用synaptic软件包系统在Ubuntu 9.10中安装了matplotlib。然而，当我尝试下面这个简单的例子时>>> from pylab import plot;>>> plot([1,2,3],[1,2,3])[<matplotlib.lines.Line2D object at 0x9aa78ec>]我看不到打印窗口。对如何显示绘图窗口有什么想法吗？

问matplotlib中没有绘图窗口
EN

回答 11

Stack Overflow用户

Stack Overflow用户

Stack Overflow用户

社区

活动

圈层

关于

腾讯云开发者

热门产品

热门推荐

更多推荐

问matplotlib中没有绘图窗口EN

回答 11

Stack Overflow用户

Stack Overflow用户

Stack Overflow用户

社区

活动

圈层

关于

腾讯云开发者

热门产品

热门推荐

更多推荐

问matplotlib中没有绘图窗口
EN