blocks|key|29590|text|conda有一个分支(new-+PyPI+-install)，它添加了与pip和PyPI更好的集成。特别是，conda+list还将显示pip已安装的软件包，并且conda+install将首先尝试查找conda软件包，如果查找失败，将使用pip安装该软件包。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|29591|这个分支计划在本周晚些时候合并，这样conda的2.1版本将与conda有更好的pip集成。|29592|entityMap^0|0|0^^$0|@$1|2|3|4|5|6|7|F|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|G|8|@]|9|@]|A|$]]|$1|D|3|-4|5|6|7|H|8|@]|9|@]|A|$]]]|E|$]]

There is a branch of conda (new-pypi-install) that adds better integration with pip and PyPI. In particular conda list will also show pip installed packages and conda install will first try to find a conda package and failing that will use pip to install the package. 

This branch is scheduled to be merged later this week so that version 2.1 of conda will have better pip-integration with conda.

blocks|key|245803|text|我通常在'pip‘命令之前加上'bin/pip’文件夹作为您想要安装软件包的特定环境的前缀。例如，如果您想要在py34环境中安装pymc3，则应使用以下命令：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|245804|~/anaconda/envs/py34/bin/pip+install+git%2Bhttps://github.com/pymc-devs/pymc3+|code-block|syntax|javascript|245805|基本上，您只需要找到环境中'bin/pip‘文件夹的正确路径，并将其放在install命令之前。|245806|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|$]]

I usually prefix the 'bin/pip' folder for the specific environment you want to install the package before the 'pip' command. For instance, if you would like to install pymc3 in the environment py34, you should use this command:

<pre><code>~/anaconda/envs/py34/bin/pip install git+https://github.com/pymc-devs/pymc3 
</code></pre>

You basically just need to find the right path to your environment 'bin/pip' folder and put it before the install command.

blocks|key|245831|text|conda-env现在会自动执行此操作(如果pip是与conda一起安装的)。|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|245832|您可以通过使用用于迁移环境的导出工具来查看这是如何工作的：|245833|conda+env+export+-n+<env-name>+>+environment.yml|code-block|syntax|javascript|245834|该文件将列出conda包和pip包：|245835|name:+stats
channels:
++-+javascript
dependencies:
++-+python=3.4
++-+bokeh=0.9.2
++-+numpy=1.9.*
++-+nodejs=0.10.*
++-+flask
++-+pip:
++++-+Flask-Testing|245836|如果您希望完成导出环境的操作，请将environment.yml移到新的主机并运行：|style|CODE|245837|conda+env+create+-f+path/to/environment.yml|245838|entityMap|0|LINK|mutability|MUTABLE|url|https://github.com/conda/conda-env/^0|0|9|0|0|0|0|0|0|H|F|0|0^^$0|@$1|2|3|4|5|6|7|12|8|@]|9|@$A|13|B|14|1|15]]|C|$]]|$1|D|3|E|5|6|7|16|8|@]|9|@]|C|$]]|$1|F|3|G|5|H|7|17|8|@]|9|@]|C|$I|J]]|$1|K|3|L|5|6|7|18|8|@]|9|@]|C|$]]|$1|M|3|N|5|H|7|19|8|@]|9|@]|C|$I|J]]|$1|O|3|P|5|6|7|1A|8|@$A|1B|B|1C|Q|R]]|9|@]|C|$]]|$1|S|3|T|5|H|7|1D|8|@]|9|@]|C|$I|J]]|$1|U|3|-4|5|6|7|1E|8|@]|9|@]|C|$]]]|V|$W|$5|X|Y|Z|C|$10|11]]]]

<a href="https://github.com/conda/conda-env/">conda-env</a> now does this automatically (if pip was installed with conda).

You can see how this works by using the export tool used for migrating an environment:

<pre><code>conda env export -n &lt;env-name&gt; &gt; environment.yml
</code></pre>

The file will list both conda packages and pip packages:

<pre><code>name: stats
channels:
 - javascript
dependencies:
 - python=3.4
 - bokeh=0.9.2
 - numpy=1.9.*
 - nodejs=0.10.*
 - flask
 - pip:
 - Flask-Testing
</code></pre>

If you're looking to follow through with exporting the environment, move <code>environment.yml</code> to the new host machine and run:

<pre><code>conda env create -f path/to/environment.yml
</code></pre>

blocks|key|245904|text|这就是我写Picky的原因：http://picky.readthedocs.io/|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|245905|它是一个python包，可以跟踪在virtualenvs和conda+envs中使用pip或conda安装的包。|245906|entityMap|0|LINK|mutability|MUTABLE|url|http://picky.readthedocs.io/^0|E|S|0|0|0^^$0|@$1|2|3|4|5|6|7|N|8|@]|9|@$A|O|B|P|1|Q]]|C|$]]|$1|D|3|E|5|6|7|R|8|@]|9|@]|C|$]]|$1|F|3|-4|5|6|7|S|8|@]|9|@]|C|$]]]|G|$H|$5|I|J|K|C|$L|M]]]]

This is why I wrote Picky: <a href="http://picky.readthedocs.io/" rel="noreferrer">http://picky.readthedocs.io/</a>

It's a python package that tracks packages installed with either pip or conda in either virtualenvs and conda envs.

blocks|key|245957|text|My+which+pip显示以下路径：|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|245958|$+which+pip
/home/kmario23/anaconda3/bin/pip|code-block|syntax|javascript|245959|因此，无论我使用pip+install+<package-name>安装什么包，在使用以下命令导出该列表时，该包都必须反映在该列表中：|245960|$+conda+list+--export+>+conda_list.txt|245961|但是，我没有。所以，我按照其他几个人的建议使用了以下命令：|245962|#+get+environment+name+by
$+conda-env+list

#+get+list+of+all+installed+packages+by+(conda,+pip,+etc.,)
$+conda-env+export+-n+<my-environment-name>+>+all_packages.yml
#+if+you+haven't+created+any+specific+env,+then+just+use+'root'|245963|现在，我可以在all-packages.yml文件中看到所有的包。|245964|entityMap^0|3|9|0|0|8|Q|0|0|0|0|7|G|0^^$0|@$1|2|3|4|5|6|7|W|8|@$9|X|A|Y|B|C]]|D|@]|E|$]]|$1|F|3|G|5|H|7|Z|8|@]|D|@]|E|$I|J]]|$1|K|3|L|5|6|7|10|8|@$9|11|A|12|B|C]]|D|@]|E|$]]|$1|M|3|N|5|H|7|13|8|@]|D|@]|E|$I|J]]|$1|O|3|P|5|6|7|14|8|@]|D|@]|E|$]]|$1|Q|3|R|5|H|7|15|8|@]|D|@]|E|$I|J]]|$1|S|3|T|5|6|7|16|8|@$9|17|A|18|B|C]]|D|@]|E|$]]|$1|U|3|-4|5|6|7|19|8|@]|D|@]|E|$]]]|V|$]]

My <code>which pip</code> shows the following path:

<pre><code>$ which pip
/home/kmario23/anaconda3/bin/pip
</code></pre>

So, whatever package I install using <code>pip install &lt;package-name&gt;</code> will have to be reflected in the list of packages when the list is exported using:

<pre><code>$ conda list --export &gt; conda_list.txt
</code></pre>

But, I don't. So, instead I used the following command as suggested by several others:

<pre><code># get environment name by
$ conda-env list

# get list of all installed packages by (conda, pip, etc.,)
$ conda-env export -n &lt;my-environment-name&gt; &gt; all_packages.yml
# if you haven't created any specific env, then just use 'root'
</code></pre>

Now, I can see all the packages in my <code>all-packages.yml</code> file.

blocks|key|29793|text|您可以通过在conda环境中安装以下给定命令开始：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|29794|conda+install+pip|offset|length|style|CODE|29795|然后安装环境中所需的所有pip包。|29796|安装所有conda和pip包以导出环境后，使用：|29797|conda+env+export+-n+<env-name>+>+environment.yml|29798|这将在文件夹中创建所需的文件|29799|entityMap^0|0|0|H|0|0|0|0|1C|0|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|$]]|$1|H|3|I|5|6|7|V|8|@]|9|@]|A|$]]|$1|J|3|K|5|6|7|W|8|@]|9|@]|A|$]]|$1|L|3|M|5|6|7|X|8|@$D|Y|E|Z|F|G]]|9|@]|A|$]]|$1|N|3|O|5|6|7|10|8|@]|9|@]|A|$]]|$1|P|3|-4|5|6|7|11|8|@]|9|@]|A|$]]]|Q|$]]

You can start by installing the below given command in the conda environment:

<code>conda install pip</code>

Followed by installing all pip packages you need in the environment.

After installing all the conda and pip packages to export the environment use:

<code>conda env export -n &lt;env-name&gt; &gt; environment.yml</code>

This will create the required file in the folder

blocks|key|246045|text|使用环境的pip安装包，如下所示|type|unstyled|depth|inlineStyleRanges|entityRanges|data|246046|~/anaconda3/envs/<ENV_NAME_HERE>/bin/pip+install+<PACKAGE_NAME>|code-block|syntax|javascript|246047|当您使用conda+list时，这将帮助conda跟踪所有pip安装的包。|offset|length|style|CODE|246048|entityMap^0|0|0|4|A|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]]|$1|G|3|H|5|6|7|Q|8|@$I|R|J|S|K|L]]|9|@]|A|$]]|$1|M|3|-4|5|6|7|T|8|@]|9|@]|A|$]]]|N|$]]

Use your environment's pip to install packages like so
<pre><code>~/anaconda3/envs/&lt;ENV_NAME_HERE&gt;/bin/pip install &lt;PACKAGE_NAME&gt;
</code></pre>
This should help conda track all your pip installed packages as well when you use <code>conda list</code>

I've installed and have been using the <a href="https://en.wikipedia.org/wiki/Anaconda_%28Python_distribution%29" rel="noreferrer">Anaconda</a> Python distribution, and I have started using the Anaconda (Conda) environment. I can use the standard <code>conda install...</code> command to put packages from the distribution into my environments, but to use anything outside (i.e. Flask-WTF, flask-sqlalchemy, and alembic) I need to use <code>pip install</code> in the active environment. However, when I look at the contents of the environment, either in the directory, or using <code>conda list</code> these <code>pip install</code>ed packages don't show up. 

Using <code>pip freeze</code> and <code>pip list</code> just lists every package I've ever installed. 

Is there a way to keep track of what is in each of my Anaconda <code>env</code>s (both <code>pip</code> and <code>conda</code> installed)?

How do I keep track of pip-installed packages in an Anaconda (Conda) environment?

我已经安装并一直在使用Anaconda发行版，并且我已经开始使用 (Conda)环境。我可以使用标准的conda install...命令将发行版中的包放入我的环境中，但是要使用外部的任何东西(即Flask-WTF、flask-sqlalchemy和alembic)，我需要在活动环境中使用pip install。但是，...

问如何在Anaconda (Conda)环境中跟踪pip安装的包？
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