blocks|key|2651445|text|在Windows上安装这些包需要编译器。相反，我建议您访问Christoph的用于Python扩展包的非官方Windows二进制文件，在那里他已经为您制造了轮子。|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|2651446|下载车轮后，可以使用pip进行安装。例如：|style|CODE|2651447|pip+install+numpy‑1.12.1%2Bmkl‑cp36‑cp36m‑win_amd64.whl|code-block|syntax|javascript|2651448|另一种选择是安装蟒蛇。|2651449|entityMap|0|LINK|mutability|MUTABLE|url|http://www.lfd.uci.edu/~gohlke/pythonlibs/|1|https://www.continuum.io/downloads^0|13|R|0|0|A|3|0|0|8|2|1|0^^$0|@$1|2|3|4|5|6|7|Y|8|@]|9|@$A|Z|B|10|1|11]]|C|$]]|$1|D|3|E|5|6|7|12|8|@$A|13|B|14|F|G]]|9|@]|C|$]]|$1|H|3|I|5|J|7|15|8|@]|9|@]|C|$K|L]]|$1|M|3|N|5|6|7|16|8|@]|9|@$A|17|B|18|1|19]]|C|$]]|$1|O|3|-4|5|6|7|1A|8|@]|9|@]|C|$]]]|P|$Q|$5|R|S|T|C|$U|V]]|W|$5|R|S|T|C|$U|X]]]]

Installing these packages on Windows requires a compiler. Instead, I would recommend you visit Christoph Gohlke's <a href="http://www.lfd.uci.edu/~gohlke/pythonlibs/" rel="nofollow noreferrer">Unofficial Windows Binaries for Python Extension Packages</a>, where he has already built the wheels for you.

Once you download the wheel, you can install using <code>pip</code>. For example:

<pre><code>pip install numpy‑1.12.1+mkl‑cp36‑cp36m‑win_amd64.whl
</code></pre>

An alternative is to install <a href="https://www.continuum.io/downloads" rel="nofollow noreferrer">Anaconda</a>.

blocks|key|1086719|text|这对我来说很管用|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1086720|pip安装-预-索引https://pypi.anaconda.org/scipy-wheels-nightly/simple+scikit学习|offset|length|1086721|entityMap|0|LINK|mutability|MUTABLE|url|https://pypi.anaconda.org/scipy-wheels-nightly/simple^0|0|A|1H|0|0^^$0|@$1|2|3|4|5|6|7|N|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|O|8|@]|9|@$D|P|E|Q|1|R]]|A|$]]|$1|F|3|-4|5|6|7|S|8|@]|9|@]|A|$]]]|G|$H|$5|I|J|K|A|$L|M]]]]

This worked for me
pip install --pre --extra-index <a href="https://pypi.anaconda.org/scipy-wheels-nightly/simple" rel="nofollow noreferrer">https://pypi.anaconda.org/scipy-wheels-nightly/simple</a> scikit-learn

blocks|key|936905|text|我遇到了问题，尝试了网络上的各种解决方案，但都失败了，太糟糕了.|type|unstyled|depth|inlineStyleRanges|entityRanges|data|936906|最后，我解决了这个问题：|936907|$+python3+-m+pip+install+--upgrade+pip|code-block|syntax|javascript|936908|不推荐使用以下方法(?)pip3安装--升级pip|unordered-list-item|936909|根本原因：|936910|pip工具太旧了。|936911|升级之前，pip版本是9.0.1。|offset|length|style|BOLD|936912|升级后，pip版本为20.0.3。|936913|因此，您可以通过$+pip检查pip版本--+python2+$+pip3版本#--+python3版本#
并尝试升级pip工具来修复它。|936914|936915|设想情况：|936916|Dockerfile，ubuntu:16.04，ubuntu:18.04，Dockerfile，python3|936917|​|936918|936919|参考文献|936920|安装scikit-学习+$+sudo+apt-获取安装python3+3-sklearn+3-sklearn+lib+python3+3-sklearn+doc|936921|-+for+global,+not+for+virtualenv|936922|entityMap|0|LINK|mutability|MUTABLE|url|https://scikit-learn.org/stable/install.html^0|0|0|0|0|0|1|B|5|1|A|6|1|1|0|0|0|0|0|0|0|B|0|0|0^^$0|@$1|2|3|4|5|6|7|1L|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|1M|8|@]|9|@]|A|$]]|$1|D|3|E|5|F|7|1N|8|@]|9|@]|A|$G|H]]|$1|I|3|J|5|K|7|1O|8|@]|9|@]|A|$]]|$1|L|3|M|5|6|7|1P|8|@]|9|@]|A|$]]|$1|N|3|O|5|K|7|1Q|8|@]|9|@]|A|$]]|$1|P|3|Q|5|K|7|1R|8|@$R|1S|S|1T|T|U]]|9|@]|A|$]]|$1|V|3|W|5|K|7|1U|8|@$R|1V|S|1W|T|U]]|9|@]|A|$]]|$1|X|3|Y|5|K|7|1X|8|@]|9|@]|A|$]]|$1|Z|3|-4|5|6|7|1Y|8|@]|9|@]|A|$]]|$1|10|3|11|5|6|7|1Z|8|@]|9|@]|A|$]]|$1|12|3|13|5|K|7|20|8|@]|9|@]|A|$]]|$1|14|3|15|5|6|7|21|8|@]|9|@]|A|$]]|$1|16|3|15|5|6|7|22|8|@]|9|@]|A|$]]|$1|17|3|18|5|6|7|23|8|@]|9|@]|A|$]]|$1|19|3|1A|5|K|7|24|8|@]|9|@$R|25|S|26|1|27]]|A|$]]|$1|1B|3|1C|5|F|7|28|8|@]|9|@]|A|$G|H]]|$1|1D|3|-4|5|6|7|29|8|@]|9|@]|A|$]]]|1E|$1F|$5|1G|1H|1I|A|$1J|1K]]]]

I encountered the issue and tried various solutions from the web, but all failed, so bad...
Finally, I solved it by:
<pre><code>$ python3 -m pip install --upgrade pip
</code></pre>
<ul>
<li>the following way is not recommended (?)
<pre><code>pip3 install --upgrade pip
</code></pre>
</li>
</ul>
<h3>Root cause:</h3>
<ul>
<li>The pip tool is too old.
<ul>
<li>Before the upgrade, the pip version was 9.0.1 .</li>
<li>After the upgrade, the pip version is 20.0.3 .</li>
<li>Hence, you can check your pip version by
<pre><code>$ pip --version # for python2
$ pip3 --version # for python3
</code></pre>
and try to upgrade the pip tool to fix it</li>
</ul>
</li>
</ul>
<h3>Scenario:</h3>
<ul>
<li>Dockerfile, ubuntu:16.04, ubuntu:18.04, docker build, python3</li>
</ul>
 
 
<h2>References</h2>
<ul>
<li><a href="https://scikit-learn.org/stable/install.html" rel="nofollow noreferrer">Installing scikit-learn</a>
<pre><code>$ sudo apt-get install python3-sklearn python3-sklearn-lib python3-sklearn-doc
</code></pre>
<ul>
<li>for global, not for virtualenv</li>
</ul>
</li>
</ul>

I am quite new into programming and I am struggling much to install scipy with the errors. I did not had any problems installing other libraries: 

<blockquote>
 Failed cleaning build dir for scipy 
</blockquote>

and

<blockquote>
 Failed building wheel for scipy
</blockquote>

With sklearn I am facing the problem : 

<blockquote>
 Failed building wheel for scikit-learn
</blockquote>

just found this info on the web regarding this issue : 

pip does not work well for Windows because the standard pip package index site, PyPI, does not yet have Windows wheels for some packages, such as SciPy.
via <a href="https://scipy.org/install.html" rel="nofollow noreferrer">https://scipy.org/install.html</a>

In case this is correct , how can I solve it ?

problems installing scipy and sklearn

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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