blocks|key|4567094|text|我最近遇到了这个问题，并使用了|type|unstyled|depth|inlineStyleRanges|entityRanges|data|4567095|apt-get+install+python-numpy|code-block|syntax|javascript|4567096|这会将numpy添加到您的系统python解释器中。我可能不得不为matplotlib做同样的事情。要在virtualenv中使用，您必须使用|4567097|--system-site-packages|4567098|选项|4567099|http://www.scipy.org/install.html|offset|length|4567100|entityMap|0|LINK|mutability|MUTABLE|url^0|0|0|0|0|0|0|X|0|0^^$0|@$1|2|3|4|5|6|7|X|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|Y|8|@]|9|@]|A|$E|F]]|$1|G|3|H|5|6|7|Z|8|@]|9|@]|A|$]]|$1|I|3|J|5|D|7|10|8|@]|9|@]|A|$E|F]]|$1|K|3|L|5|6|7|11|8|@]|9|@]|A|$]]|$1|M|3|N|5|6|7|12|8|@]|9|@$O|13|P|14|1|15]]|A|$]]|$1|Q|3|-4|5|6|7|16|8|@]|9|@]|A|$]]]|R|$S|$5|T|U|V|A|$W|N]]]]

I had this exact problem recently and used

<pre><code>apt-get install python-numpy
</code></pre>

This adds numpy to your system python interpreter. I may have had to do the same for matplotlib. To use in a virtualenv, you have to create your environment using the

<pre><code>--system-site-packages
</code></pre>

option

<a href="http://www.scipy.org/install.html">http://www.scipy.org/install.html</a>

blocks|key|4567106|text|在'site-packages‘目录中，像这样创建'sitecustomize.py’|type|unstyled|depth|inlineStyleRanges|entityRanges|data|4567107|import+sys
sys.setdefaultencoding("utf-8")|code-block|syntax|javascript|4567108|现在您可以获取文件'pip.log‘|4567109|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|$]]

In 'site-packages' directory, make 'sitecustomize.py' like this

<pre><code>import sys
sys.setdefaultencoding("utf-8")
</code></pre>

Now you can get the file 'pip.log'

blocks|key|4567126|text|我在运行pip+install+pandas时遇到了类似的错误，这是由于内存不足。我将虚拟机中的内存增加到4G，然后修复了这些问题。|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|4567127|entityMap^0|4|I|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|$]]

I had a similar error when running <code>pip install pandas</code> and it was due to a memory shortage. I increased the memory in my virtual machine to 4G and that fixed things.

blocks|key|60844|text|对我来说，@Charles+Duffy评论解决了这个问题。把这个放到你的环境中：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|60845|LC_ALL=C|offset|length|style|CODE|60846|您可以使用下面这样的代码行将其添加到.bashrc中：|60847|export+LC_ALL=C|60848|但是要小心，你会影响所有其他的程序。因此，您可能只想将其用于pip+run：|60849|$+LC_ALL=C+pip+install+...|60850|entityMap^0|0|0|8|0|0|0|F|0|0|0|Q|0^^$0|@$1|2|3|4|5|6|7|R|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|S|8|@$D|T|E|U|F|G]]|9|@]|A|$]]|$1|H|3|I|5|6|7|V|8|@]|9|@]|A|$]]|$1|J|3|K|5|6|7|W|8|@$D|X|E|Y|F|G]]|9|@]|A|$]]|$1|L|3|M|5|6|7|Z|8|@]|9|@]|A|$]]|$1|N|3|O|5|6|7|10|8|@$D|11|E|12|F|G]]|9|@]|A|$]]|$1|P|3|-4|5|6|7|13|8|@]|9|@]|A|$]]]|Q|$]]

For me @Charles Duffy comment solved it.
Put this in your env:

<code>LC_ALL=C</code>

You can add it to your .bashrc with a line like this:

<code>export LC_ALL=C</code>

But take in care that you'll affect all other programs. So you may want to use it just for the pip run:

<code>$ LC_ALL=C pip install ...</code>

blocks|key|4567190|text|我在使用matplotlib包时遇到了这个问题。我不得不执行：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|4567191|export+LC_ALL=C
pip+install+--upgrade+setuptools|code-block|syntax|javascript|4567192|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|$]]

I had that problem with matplotlib package.
I had to execute:

<pre><code>export LC_ALL=C
pip install --upgrade setuptools
</code></pre>

blocks|key|4567224|text|试试sudo+apt-get+install+python-numpy。它适用于我，同样可以用于scipy，pandas等，通过替换它们来代替numpy。(Y)|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|4567225|entityMap^0|2|X|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|$]]

try <code>sudo apt-get install python-numpy</code> .
It worked out for me and same can be used for scipy,pandas etc by replacing them in place of numpy. (Y)

blocks|key|60980|text|一个组合|type|unstyled|depth|inlineStyleRanges|entityRanges|data|60981|sudo+apt-get+install+python-dev|code-block|syntax|javascript|60982|和|60983|export+LC_ALL=C
pip+install+--upgrade+setuptools|60984|解决了我的问题。|60985|entityMap^0|0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|O|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|P|8|@]|9|@]|A|$E|F]]|$1|G|3|H|5|6|7|Q|8|@]|9|@]|A|$]]|$1|I|3|J|5|D|7|R|8|@]|9|@]|A|$E|F]]|$1|K|3|L|5|6|7|S|8|@]|9|@]|A|$]]|$1|M|3|-4|5|6|7|T|8|@]|9|@]|A|$]]]|N|$]]

A combination of 

<pre><code>sudo apt-get install python-dev
</code></pre>

and 

<pre><code>export LC_ALL=C
pip install --upgrade setuptools
</code></pre>

solved my problem.

blocks|key|4567308|text|如果需要numpy的pip版本，可以构建包的依赖项，然后使用pip安装它。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|4567309|sudo+apt-get+build-dep+python-numpy
pip+install+numpy|code-block|syntax|javascript|4567310|这应该会在系统级安装安装软件包所需的所有内容。|4567311|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|$]]

If you want the pip version of numpy, you can build the dependencies for the package and then install it using pip

<pre><code>sudo apt-get build-dep python-numpy
pip install numpy
</code></pre>

This should install everything needed at system level to install the package.

blocks|key|61081|text|对我来说，这是通过忽略(可能)损坏的缓存来解决的|type|unstyled|depth|inlineStyleRanges|entityRanges|data|61082|pip+install+--no-cache-dir+...|code-block|syntax|javascript|61083|如下所述：https://github.com/pypa/pip/issues/2674|offset|length|61084|entityMap|0|LINK|mutability|MUTABLE|url|https://github.com/pypa/pip/issues/2674^0|0|0|5|13|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]]]]

For me this was solved by ignoring a (presumably) corrupted cache with

<pre><code>pip install --no-cache-dir ...
</code></pre>

as described here: <a href="https://github.com/pypa/pip/issues/2674" rel="nofollow">https://github.com/pypa/pip/issues/2674</a>

blocks|key|4567371|text|在使用Ubuntu的Jetson+TK1上也有类似的问题。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|4567372|与apt-get+install+python-pandas配合使用效果很好|offset|length|style|CODE|4567373|entityMap^0|0|1|T|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]]|9|@]|A|$]]|$1|H|3|-4|5|6|7|N|8|@]|9|@]|A|$]]]|I|$]]

Had a similar problem on a Jetson TK1 with Ubuntu.

Works fine with <code>apt-get install python-pandas</code>

blocks|key|4567393|text|尝试更新pip：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|4567394|pip+install+-U+pip|code-block|syntax|javascript|4567395|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|$]]

Try updating pip:

<pre><code>pip install -U pip
</code></pre>

blocks|key|4567422|text|有这么多答案，但没有一个对我有效，尽管其中一些显然对其他人有效。但是后来我发现了我的问题所在，所以我只是将其添加到集合中：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|4567423|dpkg-reconfigure+locales
#+enable+the+"en-US.UTF-8"+locale
#+when+asked+for+a+default,+no+need+to+define+one|code-block|syntax|javascript|4567424|问题是，我在一个Debian+Stretch+linux容器中工作，这个容器碰巧没有安装任何UTF-8语言环境，可能是因为我下载了一个最小的库镜像。现在安装了这个UTF-8语言环境，pip正确地安装了numpy和其他包。|4567425|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|$]]

So many answers and none worked for me even though some clearly worked for other people. But I then figured out what my problem was, so I'll just add it to the collection:

<pre><code>dpkg-reconfigure locales
# enable the "en-US.UTF-8" locale
# when asked for a default, no need to define one
</code></pre>

The thing is, I was working inside a Debian Stretch linux container that happened to not have any UTF-8 locales installed, probably because I downloaded a minimal stock image. With this UTF-8 locale now installed, pip properly installed numpy and other packages.

blocks|key|61183|text|在我的例子中，我刚刚从源代码安装了Python+(在一台我不是sudo的远程机器上)。不管是什么原因，pip使用的是一个非常老的版本。所以在此之后：|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|61184|python+-m+pip+install+--upgrade+pip|code-block|syntax|javascript|61185|我能够毫不费力地安装numpy和所有我想要的东西。|61186|entityMap^0|V|4|1F|3|0|0|A|5|0^^$0|@$1|2|3|4|5|6|7|O|8|@$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|L|5|6|7|U|8|@$9|V|A|W|B|C]]|D|@]|E|$]]|$1|M|3|-4|5|6|7|X|8|@]|D|@]|E|$]]]|N|$]]

In my case I had just installed Python from source (on a remote machine where I am not <code>sudo</code>). For whatever reason, <code>pip</code> was on some really old version. So after:

<pre><code>python -m pip install --upgrade pip
</code></pre>

I was able to install <code>numpy</code> and everything I wanted without trouble.

blocks|key|4567470|text|@OSX用户:在您的~/.profile或~/.bashrc中添加以下代码行|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|4567471|LANG="en_US.UTF-8"
LC_COLLATE="en_US.UTF-8"|code-block|syntax|javascript|4567472|使用source+~/.profile或source+~/.bashrc执行脚本|4567473|entityMap^0|A|A|L|9|0|0|2|H|K|G|0^^$0|@$1|2|3|4|5|6|7|O|8|@$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|L|5|6|7|U|8|@$9|V|A|W|B|C]|$9|X|A|Y|B|C]]|D|@]|E|$]]|$1|M|3|-4|5|6|7|Z|8|@]|D|@]|E|$]]]|N|$]]

@OSX Users: Add the following lines to your <code>~/.profile</code> or <code>~/.bashrc</code>

<pre><code>LANG="en_US.UTF-8"
LC_COLLATE="en_US.UTF-8"
</code></pre>

Execute the scripts using
 <code>source ~/.profile</code> or <code>source ~/.bashrc</code>

blocks|key|61259|text|将计算机中的区域设置重置为预期区域设置解决了我的问题。对我来说，当我将我的语言设置切换到英语(印度)时，问题就开始了。我不得不把它换回英语(英国)。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|61260|entityMap^0|0^^$0|@$1|2|3|4|5|6|7|D|8|@]|9|@]|A|$]]|$1|B|3|-4|5|6|7|E|8|@]|9|@]|A|$]]]|C|$]]

Resetting my regional settings in my machine to the expected one solved my problem. For me the problem started when I switched my language settings to English(India). I had to switch it back to English(Great Britain).

blocks|key|4567582|text|最近，我偶然发现了同样的问题，这也为我解决了这个问题：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|4567583|++++++++++++++echo+'export+LANG=en_US.UTF-8'+>>+~/.bashrc
++++++++++++++echo+'export+LANGUAGE=en_US:en'+>>+~/.bashrc
++++++++++++++echo+'export+LC_ALL=en_US.UTF-8'+>>+~/.bashrc
++++++++++++++sudo+apt-get+install+language-pack-en|code-block|syntax|javascript|4567584|请注意，|4567585|我已经安装了python-numpy和python-dev。即使这样也可能会在您的系统上造成问题。您还可以导出LC_ALL=C而不是en_US.UTF-8(或任何其他语言)|4567586|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]]|$1|G|3|H|5|6|7|O|8|@]|9|@]|A|$]]|$1|I|3|J|5|6|7|P|8|@]|9|@]|A|$]]|$1|K|3|-4|5|6|7|Q|8|@]|9|@]|A|$]]]|L|$]]

Recently, I stumbled upon the same problem
This solved it for me:

<pre><code> echo 'export LANG=en_US.UTF-8' &gt;&gt; ~/.bashrc
 echo 'export LANGUAGE=en_US:en' &gt;&gt; ~/.bashrc
 echo 'export LC_ALL=en_US.UTF-8' &gt;&gt; ~/.bashrc
 sudo apt-get install language-pack-en
</code></pre>

Note,

I already had python-numpy and python-dev installed. Even this may be causing a problem on your system.
You can also export LC_ALL=C instead of en_US.UTF-8(or any other language)

blocks|key|4567623|text|当在docker容器中运行时，这为我修复了它(在django-postgrespool项目上，但这里也应该可以)。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|4567624|#+Set+the+locale
RUN+sed+-i+-e+'s/#+en_US.UTF-8+UTF-8/en_US.UTF-8+UTF-8/'+/etc/locale.gen+&&+\
++++locale-gen
ENV+LANG+en_US.UTF-8++
ENV+LANGUAGE+en_US:en++
ENV+LC_ALL+en_US.UTF-8+++|code-block|syntax|javascript|4567625|请参阅https://stackoverflow.com/a/28406007/1876203|offset|length|4567626|entityMap|0|LINK|mutability|MUTABLE|url|https://stackoverflow.com/a/28406007/1876203^0|0|0|3|18|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]]]]

When running in a docker container, this fixed it for me (on the project django-postgrespool, but this should also work here).

<pre><code># Set the locale
RUN sed -i -e 's/# en_US.UTF-8 UTF-8/en_US.UTF-8 UTF-8/' /etc/locale.gen &amp;&amp; \
 locale-gen
ENV LANG en_US.UTF-8 
ENV LANGUAGE en_US:en 
ENV LC_ALL en_US.UTF-8 
</code></pre>

see <a href="https://stackoverflow.com/a/28406007/1876203">https://stackoverflow.com/a/28406007/1876203</a>

I have a freshly installed Ubuntu on a freshly built computer. I just installed python-pip using apt-get. Now when I try to pip install Numpy and Pandas, it gives the following error.

I've seen this error mentioned in quite a few places on SO and Google, but I haven't been able to find a solution. Some people mention it's a bug, some threads are just dead... What's going on?

<pre><code>Traceback (most recent call last):
 File "/usr/bin/pip", line 9, in &lt;module&gt;
 load_entry_point('pip==1.5.4', 'console_scripts', 'pip')()
 File "/usr/lib/python2.7/dist-packages/pip/__init__.py", line 185, in main
 return command.main(cmd_args)
 File "/usr/lib/python2.7/dist-packages/pip/basecommand.py", line 161, in main
 text = '\n'.join(complete_log)
UnicodeDecodeError: 'ascii' codec can't decode byte 0xe2 in position 72: ordinal not in range(128)
</code></pre>

PIP Install Numpy throws an error "ascii codec can't decode byte 0xe2"

虚拟机

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Docker

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Ubuntu

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我在一台新造的电脑上安装了一个新的Ubuntu。我刚刚使用apt-get安装了python-pip。现在，当我尝试pip安装Numpy和Pandas时，它给出了以下错误。我在SO和Google上的很多地方都看到过这个错误，但我一直没能找到解决方案。有些人提到这是个bug，一些线程已经死了……到底怎么回事？Traceba...

问PIP安装Numpy抛出错误"ascii编解码器无法解码字节0xe2“
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