blocks|key|378190|text|你可以把pip和conda一起使用。它就是这样工作的。您必须意识到，并不是每个包都在conda上，而只是在pip上。如果使用conda+env+export+>+environment.yml，您将看到混合了conda包和pip。|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|378191|entityMap^0|1Q|Y|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|$]]

It's fine for you to use pip along with conda. It's made to work this way. You have to be aware that not every package is on conda but only on pip. If you do <code>conda env export &gt; environment.yml</code>, you will see that there is a mix of conda packages and pip.

blocks|key|5457269|text|我最终使用pip安装了scikit-multilearn：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|5457270|pip+install+scikit-multilearn|code-block|syntax|javascript|5457271|然而，当我尝试导入它时，我得到了以下导入错误：|5457272|5457273|+ImportError:没有命名为builtins的模块|blockquote|5457274|5457275|5457276|为了解决这个问题，我升级了未来的包：|5457277|$pip+install+future+--upgrade|offset|length|style|CODE|5457278|然后，我成功地导入了scikit-multilearn。|5457279|entityMap^0|0|0|0|0|0|0|0|0|0|T|0|0^^$0|@$1|2|3|4|5|6|7|10|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|11|8|@]|9|@]|A|$E|F]]|$1|G|3|H|5|6|7|12|8|@]|9|@]|A|$]]|$1|I|3|-4|5|6|7|13|8|@]|9|@]|A|$]]|$1|J|3|K|5|L|7|14|8|@]|9|@]|A|$]]|$1|M|3|-4|5|6|7|15|8|@]|9|@]|A|$]]|$1|N|3|-4|5|6|7|16|8|@]|9|@]|A|$]]|$1|O|3|P|5|6|7|17|8|@]|9|@]|A|$]]|$1|Q|3|R|5|6|7|18|8|@$S|19|T|1A|U|V]]|9|@]|A|$]]|$1|W|3|X|5|6|7|1B|8|@]|9|@]|A|$]]|$1|Y|3|-4|5|6|7|1C|8|@]|9|@]|A|$]]]|Z|$]]

I eventually installed scikit-multilearn using pip:

<pre><code>pip install scikit-multilearn
</code></pre>

However, I got the following import error while trying to import it:

<blockquote>
 ImportError: No module named builtins
</blockquote>

To solve this, I upgraded the future package:

<code>$pip install future --upgrade</code>

Then, I successfully imported scikit-multilearn.

blocks|key|3345180|text|上面提到的命令|type|unstyled|depth|inlineStyleRanges|entityRanges|data|3345181|3345182|+conda安装scikit+multilearn|blockquote|3345183|3345184|是正确的并且有一个成功的结果，如果Anaconda已经安装。|3345185|entityMap^0|0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|K|8|@]|9|@]|A|$]]|$1|B|3|-4|5|6|7|L|8|@]|9|@]|A|$]]|$1|C|3|D|5|E|7|M|8|@]|9|@]|A|$]]|$1|F|3|-4|5|6|7|N|8|@]|9|@]|A|$]]|$1|G|3|H|5|6|7|O|8|@]|9|@]|A|$]]|$1|I|3|-4|5|6|7|P|8|@]|9|@]|A|$]]]|J|$]]

The mentioned command 

<blockquote>
 <blockquote>
 conda install scikit-multilearn
 </blockquote>
</blockquote>

is correct and has a successful result, if Anaconda has already installed.

blocks|key|380578|text|type|unstyled|depth|inlineStyleRanges|entityRanges|data|380579|当我在蟒蛇仓库中找不到python包时，我应该如何安装它？|blockquote|380580|380581|380582|pip+install+<package-name>|code-block|syntax|javascript|380583|380584|如果我偶尔使用pip，而我默认的包管理器是conda，可以吗？|380585|380586|380587|是的，完全没问题。当您使用import时，无论安装方式是conda还是pip，都会找到该包。|380588|如果您希望安装一个包以供将来使用，或者用于多个项目，则可能需要将其安装到根环境中。这将允许您随时导入包。如果您将其用于特定项目，并且可能只使用一次，请创建一个新的虚拟环境，在该环境中安装所需的包，并在其中运行您的代码。|380589|创建虚拟环境：Link|offset|length|380590|entityMap|0|LINK|mutability|MUTABLE|url|https://uoa-eresearch.github.io/eresearch-cookbook/recipe/2014/11/20/conda/^0|0|0|0|0|0|0|0|0|0|0|0|7|4|0|0^^$0|@$1|2|3|-4|4|5|6|15|7|@]|8|@]|9|$]]|$1|A|3|B|4|C|6|16|7|@]|8|@]|9|$]]|$1|D|3|-4|4|5|6|17|7|@]|8|@]|9|$]]|$1|E|3|-4|4|5|6|18|7|@]|8|@]|9|$]]|$1|F|3|G|4|H|6|19|7|@]|8|@]|9|$I|J]]|$1|K|3|-4|4|5|6|1A|7|@]|8|@]|9|$]]|$1|L|3|M|4|C|6|1B|7|@]|8|@]|9|$]]|$1|N|3|-4|4|5|6|1C|7|@]|8|@]|9|$]]|$1|O|3|-4|4|5|6|1D|7|@]|8|@]|9|$]]|$1|P|3|Q|4|5|6|1E|7|@]|8|@]|9|$]]|$1|R|3|S|4|5|6|1F|7|@]|8|@]|9|$]]|$1|T|3|U|4|5|6|1G|7|@]|8|@$V|1H|W|1I|1|1J]]|9|$]]|$1|X|3|-4|4|5|6|1K|7|@]|8|@]|9|$]]]|Y|$Z|$4|10|11|12|9|$13|14]]]]

<blockquote>
 How should I install a python package when I don't find it on Anaconda repository? 
</blockquote>

<pre><code>pip install &lt;package-name&gt;
</code></pre>

<blockquote>
 Would it be OK if I use pip occasionally, while my default package manager is conda? 
</blockquote>

Yes, it is totally fine. When you use import, the package will be found irrespective of the means of installation; conda or pip.

If you want to install a package for future use, or for more than a single project, you might want to install it into the root environment. This will allow you to import the package any time.
If you are using it for a specific project, and probably just once, create a new virtual environment, install the required packages in that environment and run your code within it.

Creating a virtual environment: <a href="https://uoa-eresearch.github.io/eresearch-cookbook/recipe/2014/11/20/conda/" rel="nofollow noreferrer">Link</a>

blocks|key|5457318|text|您可以使用PIP在Conda环境中有效地安装scikit-multilearn。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|5457319|import+sys

!+{sys.executable}+-m+pip+install+scikit-multilearn

!+{sys.executable}+-m+pip+install+arff|code-block|syntax|javascript|5457320|我在Anaconda的Jupyter+Notebook上安装并测试了它|5457321|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|$]]

You can effectively install scikit-multilearn in a Conda environment using PIP doing this

<pre><code>import sys

! {sys.executable} -m pip install scikit-multilearn

! {sys.executable} -m pip install arff
</code></pre>

I installed and tested it in a Jupyter Notebook by Anaconda

To install scikit-multilearn, I have tried the following commands with no luck: 

<pre><code>conda install scikit-multilearn
</code></pre>

or,

<pre><code>conda install -c condo-forge scikit-multilearn
</code></pre>

The <a href="http://scikit.ml" rel="nofollow noreferrer">official website</a> of scikit-multilearn propose using pip:

<pre><code>pip install scikit-multilearn
</code></pre>

How should I install a python package when I don't find it on Anaconda repository? Would it be OK if I use pip occasionally, while my default package manager is conda?

How to install scikit-multilearn using Conda

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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为了安装scikit-multilearn，我尝试了以下命令，但没有成功：conda install scikit-multilearn或,conda install -c condo-forge scikit-multilearnscikit multilearn的建议使用pip：pip install scikit-multilearn如果我在Anaconda库中找不到python包，我应该如

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