blocks|key|4481021|text|建议使用Pipenv或其他工具来改进您的开发流程。|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|4481022|pip3+freeze+>+requirements.txt++#+Python3
pip+freeze+>+requirements.txt++#+Python2|code-block|syntax|javascript|4481023|如果您不使用虚拟环境，pigar将是一个很好的选择。|4481024|entityMap|0|LINK|mutability|MUTABLE|url|https://packaging.python.org/tutorials/managing-dependencies/#managing-dependencies|1|https://github.com/Damnever/pigar^0|4|6|0|0|0|B|5|1|0^^$0|@$1|2|3|4|5|6|7|U|8|@]|9|@$A|V|B|W|1|X]]|C|$]]|$1|D|3|E|5|F|7|Y|8|@]|9|@]|C|$G|H]]|$1|I|3|J|5|6|7|Z|8|@]|9|@$A|10|B|11|1|12]]|C|$]]|$1|K|3|-4|5|6|7|13|8|@]|9|@]|C|$]]]|L|$M|$5|N|O|P|C|$Q|R]]|S|$5|N|O|P|C|$Q|T]]]]

Use <a href="https://packaging.python.org/tutorials/managing-dependencies/#managing-dependencies" rel="noreferrer">Pipenv</a> or other tools is recommended for improving your development flow.
<pre><code>pip3 freeze &gt; requirements.txt # Python3
pip freeze &gt; requirements.txt # Python2
</code></pre>
If you do not use a virtual environment, <a href="https://github.com/Damnever/pigar" rel="noreferrer">pigar</a> will be a good choice for you.

blocks|key|4480983|text|您可以使用以下代码生成requirements.txt文件：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|4480984|pip+install+pipreqs

pipreqs+/path/to/project|code-block|syntax|javascript|4480985|有关pipreqs的更多信息，请访问here。|offset|length|4480986|有时您会遇到pip+freeze，但这会保存环境中的所有包，包括那些在当前项目中不使用的包。|style|CODE|4480987|entityMap|0|LINK|mutability|MUTABLE|url|https://github.com/bndr/pipreqs^0|0|0|I|4|0|0|6|A|0^^$0|@$1|2|3|4|5|6|7|W|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|X|8|@]|9|@]|A|$E|F]]|$1|G|3|H|5|6|7|Y|8|@]|9|@$I|Z|J|10|1|11]]|A|$]]|$1|K|3|L|5|6|7|12|8|@$I|13|J|14|M|N]]|9|@]|A|$]]|$1|O|3|-4|5|6|7|15|8|@]|9|@]|A|$]]]|P|$Q|$5|R|S|T|A|$U|V]]]]

You can use the following code to generate a requirements.txt file:

<pre><code>pip install pipreqs

pipreqs /path/to/project
</code></pre>

more info related to pipreqs can be found <a href="https://github.com/bndr/pipreqs">here</a>.

Sometimes you come across <code>pip freeze</code>, but this saves all packages in the environment including those that you don't use in your current project.

blocks|key|4481082|text|在我的例子中，我使用Anaconda，所以在我的环境中从conda终端运行以下命令解决了这个问题，并自动为我创建了这个requirements.txt文件：|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|4481083|conda+list+-e+>+requirements.txt|code-block|syntax|javascript|4481084|这是从这个Github链接pratos/condaenv.txt获取的|4481085|如果看到错误，并且您正在使用anaconda，请尝试使用.yml选项：|4481086|conda+env+export+>+<environment-name>.yml|4481087|对于其他人使用该环境，或者如果您要在另一台计算机上创建新环境：|4481088|conda+env+create+-f+<environment-name>.yml|4481089|.yml+option+been+found+here|4481090|entityMap|0|LINK|mutability|MUTABLE|url|https://gist.github.com/pratos/e167d4b002f5d888d0726a5b5ddcca57|1^0|1N|G|0|0|D|J|0|0|S|4|0|0|0|0|0|R|1|0^^$0|@$1|2|3|4|5|6|7|15|8|@$9|16|A|17|B|C]]|D|@]|E|$]]|$1|F|3|G|5|H|7|18|8|@]|D|@]|E|$I|J]]|$1|K|3|L|5|6|7|19|8|@]|D|@$9|1A|A|1B|1|1C]]|E|$]]|$1|M|3|N|5|6|7|1D|8|@$9|1E|A|1F|B|C]]|D|@]|E|$]]|$1|O|3|P|5|H|7|1G|8|@]|D|@]|E|$I|J]]|$1|Q|3|R|5|6|7|1H|8|@]|D|@]|E|$]]|$1|S|3|T|5|H|7|1I|8|@]|D|@]|E|$I|J]]|$1|U|3|V|5|6|7|1J|8|@]|D|@$9|1K|A|1L|1|1M]]|E|$]]|$1|W|3|-4|5|6|7|1N|8|@]|D|@]|E|$]]]|X|$Y|$5|Z|10|11|E|$12|13]]|14|$5|Z|10|11|E|$12|13]]]]

In my case, I use Anaconda, so running the following command from conda terminal inside my environment solved it, and created this <code>requirements.txt</code> file for me automatically:
<pre><code>conda list -e &gt; requirements.txt
</code></pre>
This was taken from this Github link <a href="https://gist.github.com/pratos/e167d4b002f5d888d0726a5b5ddcca57" rel="noreferrer">pratos/condaenv.txt</a>
If an error been seen, and you are using anaconda, try to use the <code>.yml</code> option:
<pre><code>conda env export &gt; &lt;environment-name&gt;.yml
</code></pre>
For other person to use the environment or if you are creating a new enviroment on another machine:
<pre><code>conda env create -f &lt;environment-name&gt;.yml
</code></pre>
<a href="https://gist.github.com/pratos/e167d4b002f5d888d0726a5b5ddcca57" rel="noreferrer">.yml option been found here</a>

blocks|key|4480492|text|对于python3：(我的机器上同时安装了python2和Python3，其中python2是默认设置)|type|unstyled|depth|inlineStyleRanges|entityRanges|data|4480493|#+install
pip3+install+pipreqs

#+Run+in+current+directory
python3+-m++pipreqs.pipreqs+.|code-block|syntax|javascript|4480494|python2：|4480495|pip+install+pipreqs
python+-m++pipreqs.pipreqs+.|4480496|要检查您的python版本：|4480497|python+--version|4480498|entityMap^0|0|0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|Q|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|R|8|@]|9|@]|A|$E|F]]|$1|G|3|H|5|6|7|S|8|@]|9|@]|A|$]]|$1|I|3|J|5|D|7|T|8|@]|9|@]|A|$E|F]]|$1|K|3|L|5|6|7|U|8|@]|9|@]|A|$]]|$1|M|3|N|5|D|7|V|8|@]|9|@]|A|$E|F]]|$1|O|3|-4|5|6|7|W|8|@]|9|@]|A|$]]]|P|$]]

For python3: (I have both python 2 and 3 on my machine, where python2 is the default)
<pre><code># install
pip3 install pipreqs

# Run in current directory
python3 -m pipreqs.pipreqs .
</code></pre>
python2:
<pre><code>pip install pipreqs
python -m pipreqs.pipreqs .
</code></pre>
To check your python version:
<pre><code>python --version
</code></pre>

blocks|key|4480303|text|首先，你的项目文件必须是py文件，它是直接的python文件。如果您的文件是ipynb格式，您可以使用以下代码行将其转换为py类型：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|4480304|jupyter+nbconvert+--to=python|code-block|syntax|javascript|4480305|然后，您需要从cmd+(mac终端)安装pipreqs库。|4480306|pip+install+pipreqs|4480307|现在我们可以使用下面的代码创建txt文件。如果你和你的文件在相同的路径下，你可以写./。否则，您需要提供文件的路径。|4480308|pipreqs+./|4480309|或|4480310|pipreqs+/home/project/location|4480311|这将为您的项目创建一个requirements.txt文件。|4480312|entityMap^0|0|0|0|0|0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|W|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|X|8|@]|9|@]|A|$E|F]]|$1|G|3|H|5|6|7|Y|8|@]|9|@]|A|$]]|$1|I|3|J|5|D|7|Z|8|@]|9|@]|A|$E|F]]|$1|K|3|L|5|6|7|10|8|@]|9|@]|A|$]]|$1|M|3|N|5|D|7|11|8|@]|9|@]|A|$E|F]]|$1|O|3|P|5|6|7|12|8|@]|9|@]|A|$]]|$1|Q|3|R|5|D|7|13|8|@]|9|@]|A|$E|F]]|$1|S|3|T|5|6|7|14|8|@]|9|@]|A|$]]|$1|U|3|-4|5|6|7|15|8|@]|9|@]|A|$]]]|V|$]]

Firstly, your project file must be a py file which is direct python file. If your file is in ipynb format, you can convert it to py type by using the line of code below:
<pre><code>jupyter nbconvert --to=python
</code></pre>
Then, you need to install pipreqs library from cmd (terminal for mac).
<pre><code>pip install pipreqs
</code></pre>
Now we can create txt file by using the code below. If you are in the same path with your file, you can just write ./ . Otherwise you need to give path of your file.
<pre><code>pipreqs ./
</code></pre>
or
<pre><code>pipreqs /home/project/location
</code></pre>
That will create a requirements.txt file for your project.

blocks|key|4481306|text|要创建需求Python模块列表，请在终端中编写以下代码：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|4481307|pip3+freeze+>+requirements.txt|code-block|syntax|javascript|4481308|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|$]]

To create a requirement Python module list, write this code in your terminal:
<pre><code>pip3 freeze &gt; requirements.txt
</code></pre>

blocks|key|4481098|text|Python+3最好的方法是：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|4481099|pip3+freeze+>+requirements.txt|code-block|syntax|javascript|4481100|对我来说很管用。|4481101|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|$]]

best way for Python 3 is:

<pre><code>pip3 freeze &gt; requirements.txt
</code></pre>

it worked for me...

blocks|key|4480430|text|如果您在系统中安装了许多依赖项，并且需要为特定项目安装requirements.txt，则可以首先安装pipreqs：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|4480431|$+pip+install+pipreqs|code-block|syntax|javascript|4480432|并在项目文件夹下执行以下命令。|4480433|$+pipreqs|4480434|此命令将为特定项目生成requirements.txt文件。|4480435|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|$]]

If you have installed many dependencies in your system and you need requirements.txt for a specific project, you can install first pipreqs:
<pre><code>$ pip install pipreqs
</code></pre>
and execute the below command under the project folder.
<pre><code>$ pipreqs
</code></pre>
This command will generate requirements.txt file for the particular project.

blocks|key|4480265|text|这不是一个完整的解决方案，但可能有助于在Linux上编译入围列表。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|4480266|grep+--include='*.py'+-rhPo+'%5E\s*(from%7Cimport)\s%2B\w%2B'+.+%7C+sed+-r+'s/\s*(import%7Cfrom)\s%2B//'+%7C+sort+-u+>+requirements.txt|code-block|syntax|javascript|4480267|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|$]]

Not a complete solution, but may help to compile a shortlist on Linux.
<pre><code>grep --include='*.py' -rhPo '^\s*(from|import)\s+\w+' . | sed -r 's/\s*(import|from)\s+//' | sort -u &gt; requirements.txt
</code></pre>

blocks|key|4480391|text|如果您只想列出在virtualenv中使用的包，请使用：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|4480392|pip+freeze+-l+>+requirements.txt+|code-block|syntax|javascript|4480393|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|$]]

If you want to list only packages used inside a virtualenv use:
<pre><code>pip freeze -l &gt; requirements.txt 
</code></pre>

blocks|key|4481217|text|我创建了这个bash命令。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|4481218|for+l+in+$(pip+freeze);+do+p=$(echo+"$l"+%7C+cut+-d'='+-f1);+f=$(find+.+-type+f+-exec+grep+"$p"+{}+\;+%7C+grep+'import');+[[+!+-z+"$f"+]]+&&+echo+"$l"+;+done;|code-block|syntax|javascript|4481219|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 created this bash command.
<pre><code>for l in $(pip freeze); do p=$(echo &quot;$l&quot; | cut -d'=' -f1); f=$(find . -type f -exec grep &quot;$p&quot; {} \; | grep 'import'); [[ ! -z &quot;$f&quot; ]] &amp;&amp; echo &quot;$l&quot; ; done;
</code></pre>

blocks|key|4481388|text|@Francis说得对--+https://stackoverflow.com/a/65728461/1021819|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|4481389|但我只想补充一下：|4481390|有了对Jupyter笔记本的额外支持-即.ipynb文件-你现在可以使用https://pypi.org/project/pipreqsnb+(与pipreqs语法相同)：|style|CODE|4481391|pip+install+pipreqsnb
pipreqs+.|code-block|syntax|javascript|4481392|我不是一个作家|4481393|entityMap|0|LINK|mutability|MUTABLE|url|https://stackoverflow.com/a/65728461/1021819|1|https://pypi.org/project/pipreqsnb^0|E|18|0|0|0|K|6|10|Y|1|0|0|0^^$0|@$1|2|3|4|5|6|7|10|8|@]|9|@$A|11|B|12|1|13]]|C|$]]|$1|D|3|E|5|6|7|14|8|@]|9|@]|C|$]]|$1|F|3|G|5|6|7|15|8|@$A|16|B|17|H|I]]|9|@$A|18|B|19|1|1A]]|C|$]]|$1|J|3|K|5|L|7|1B|8|@]|9|@]|C|$M|N]]|$1|O|3|P|5|6|7|1C|8|@]|9|@]|C|$]]|$1|Q|3|-4|5|6|7|1D|8|@]|9|@]|C|$]]]|R|$S|$5|T|U|V|C|$W|X]]|Y|$5|T|U|V|C|$W|Z]]]]

@Francis has it right - <a href="https://stackoverflow.com/a/65728461/1021819">https://stackoverflow.com/a/65728461/1021819</a>
But just to add:
With additional support for Jupyter notebooks - i.e. <code>.ipynb</code> files - you can now use <a href="https://pypi.org/project/pipreqsnb" rel="nofollow noreferrer">https://pypi.org/project/pipreqsnb</a> (same syntax as pipreqs):
<pre class="lang-sh prettyprint-override"><code>pip install pipreqsnb
pipreqs .
</code></pre>
[I am not an author]

blocks|key|4481140|text|如果您使用的是PyCharm，当您打开项目或将其克隆到PyCharm中时，它会显示一个警告，并要求您安装所有必需的包。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|4481141|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|$]]

if you are using PyCharm, when you open or clone the project into the PyCharm it shows an alert and ask you for installing all necessary packages.

Sometimes I download the python source code from <code>github</code> and don't know how to install all the dependencies. If there is no <code>requirements.txt</code> file I have to create it by hands. 
The question is: 
Given the python source code directory is it possible to create <code>requirements.txt</code> automatically from the import section?

Automatically create requirements.txt

Python

Linux

有时我从github下载python源代码，却不知道如何安装所有依赖项。如果没有requirements.txt文件，我必须手动创建它。问题是：给定python源代码目录，是否可以从导入部分自动创建requirements.txt？

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