blocks|key|1369424|text|从shell开始|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1369425|ls+site-packages|code-block|syntax|javascript|1369426|如果这没有帮助，你可以这样做。|1369427|import+sys
import+os
for+p+in+sys.path:
++++print+os.listdir(+p+)|1369428|看看这会产生什么。|1369429|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|$]]

From the shell

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

If that's not helpful, you can do this.

<pre><code>import sys
import os
for p in sys.path:
 print os.listdir( p )
</code></pre>

And see what that produces.

blocks|key|1584607|text|help('modules')|type|code-block|depth|inlineStyleRanges|entityRanges|data|syntax|javascript|1584608|在Python+shell/提示符中。|unstyled|1584609|entityMap^0|0|0^^$0|@$1|2|3|4|5|6|7|I|8|@]|9|@]|A|$B|C]]|$1|D|3|E|5|F|7|J|8|@]|9|@]|A|$]]|$1|G|3|-4|5|F|7|K|8|@]|9|@]|A|$]]]|H|$]]

<pre><code>help('modules')
</code></pre>

in a Python shell/prompt.

blocks|key|1369509|text|使用pkgutil.iter_modules进行非常简单的搜索|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|1369510|from+pkgutil+import+iter_modules
a=iter_modules()
while+True:
++++try:+x=a.next()
++++except:+break
++++if+'searchstr'+in+x[1]:+print+x[1]|code-block|syntax|javascript|1369511|entityMap|0|LINK|mutability|MUTABLE|url|http://docs.python.org/library/pkgutil.html#pkgutil.iter_modules^0|2|K|0|0|0^^$0|@$1|2|3|4|5|6|7|Q|8|@]|9|@$A|R|B|S|1|T]]|C|$]]|$1|D|3|E|5|F|7|U|8|@]|9|@]|C|$G|H]]|$1|I|3|-4|5|6|7|V|8|@]|9|@]|C|$]]]|J|$K|$5|L|M|N|C|$O|P]]]]

Very simple searching using <a href="http://docs.python.org/library/pkgutil.html#pkgutil.iter_modules" rel="noreferrer">pkgutil.iter_modules</a>

<pre><code>from pkgutil import iter_modules
a=iter_modules()
while True:
 try: x=a.next()
 except: break
 if 'searchstr' in x[1]: print x[1]
</code></pre>

blocks|key|1584671|text|我只是用它来查看当前使用的模块：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1584672|import+sys+as+s
s.modules.keys()|code-block|syntax|javascript|1584673|它显示了python上运行的所有模块。|1584674|对于所有内置模块，请使用：|1584675|s.modules|1584676|它是一个包含所有模块和导入对象的字典。|1584677|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]]|$1|G|3|H|5|6|7|S|8|@]|9|@]|A|$]]|$1|I|3|J|5|6|7|T|8|@]|9|@]|A|$]]|$1|K|3|L|5|D|7|U|8|@]|9|@]|A|$E|F]]|$1|M|3|N|5|6|7|V|8|@]|9|@]|A|$]]|$1|O|3|-4|5|6|7|W|8|@]|9|@]|A|$]]]|P|$]]

I just use this to see currently used modules:

<pre><code>import sys as s
s.modules.keys()
</code></pre>

which shows all modules running on your python.

For all built-in modules use:

<pre><code>s.modules
</code></pre>

Which is a dict containing all modules and import objects.

blocks|key|1584741|text|我在OS上遇到了一个自定义安装的Python2.7，它需要X11来列出安装的模块(使用帮助和pydoc)。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1584742|为了能够在不安装X11的情况下列出所有模块，我将pydoc作为http-server运行，即：|1584743|pydoc+-p+12345|code-block|syntax|javascript|1584744|然后，可以将Safari定向到http://localhost:12345/以查看所有模块。|offset|length|style|CODE|1584745|entityMap^0|0|0|0|F|N|0^^$0|@$1|2|3|4|5|6|7|Q|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|R|8|@]|9|@]|A|$]]|$1|D|3|E|5|F|7|S|8|@]|9|@]|A|$G|H]]|$1|I|3|J|5|6|7|T|8|@$K|U|L|V|M|N]]|9|@]|A|$]]|$1|O|3|-4|5|6|7|W|8|@]|9|@]|A|$]]]|P|$]]

I ran into a custom installed python 2.7 on OS X. It required X11 to list modules installed (both using help and pydoc).

To be able to list all modules without installing X11 I ran pydoc as http-server, i.e.:

<pre><code>pydoc -p 12345
</code></pre>

Then it's possible to direct Safari to <code>http://localhost:12345/</code> to see all modules.

blocks|key|1369719|text|除了使用pip+freeze之外，我还一直在我的虚拟环境中安装yolk。|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|1369720|entityMap|0|LINK|mutability|MUTABLE|url|http://pypi.python.org/pypi/yolk^0|4|A|V|4|0|0^^$0|@$1|2|3|4|5|6|7|N|8|@$9|O|A|P|B|C]]|D|@$9|Q|A|R|1|S]]|E|$]]|$1|F|3|-4|5|6|7|T|8|@]|D|@]|E|$]]]|G|$H|$5|I|J|K|E|$L|M]]]]

Aside from using <code>pip freeze</code> I have been installing <a href="http://pypi.python.org/pypi/yolk" rel="nofollow">yolk</a> in my virtual environments.

blocks|key|1584844|text|从pip版本1.3开始，您可以访问：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1584845|pip+list|code-block|syntax|javascript|1584846|这似乎是“点点冻结”的句法糖。它将列出特定于您的安装或virtualenv的所有模块，以及它们的版本号。不幸的是，它不会显示任何模块的当前版本号，也不会洗你的碗或擦你的鞋。|1584847|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|$]]

Since pip version 1.3, you've got access to:

<pre><code>pip list
</code></pre>

Which seems to be syntactic sugar for "pip freeze". It will list all of the modules particular to your installation or virtualenv, along with their version numbers. Unfortunately it does not display the current version number of any module, nor does it wash your dishes or shine your shoes.

blocks|key|1369811|text|在普通shell中，只需使用|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1369812|pydoc+modules|code-block|syntax|javascript|1369813|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|$]]

In normal shell just use

<pre><code>pydoc modules
</code></pre>

blocks|key|1584940|text|如果您安装了anaconda+python+distribution，您还可以使用|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|1584941|$conda+list|code-block|syntax|javascript|1584942|除了上述解决方案之外。|1584943|entityMap|0|LINK|mutability|MUTABLE|url|https://store.continuum.io/cshop/anaconda/^0|6|S|0|0|0|0^^$0|@$1|2|3|4|5|6|7|S|8|@]|9|@$A|T|B|U|1|V]]|C|$]]|$1|D|3|E|5|F|7|W|8|@]|9|@]|C|$G|H]]|$1|I|3|J|5|6|7|X|8|@]|9|@]|C|$]]|$1|K|3|-4|5|6|7|Y|8|@]|9|@]|C|$]]]|L|$M|$5|N|O|P|C|$Q|R]]]]

In case you have an <a href="https://store.continuum.io/cshop/anaconda/" rel="noreferrer">anaconda python distribution</a> installed, you could also use

<pre><code>$conda list
</code></pre>

in addition to solutions described above.

blocks|key|1584957|text|如果需要在Python+shell中列出已安装的包，可以使用help命令，如下所示|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|1584958|>>>+help('modules+package')|code-block|syntax|javascript|1584959|entityMap^0|U|4|0|0^^$0|@$1|2|3|4|5|6|7|M|8|@$9|N|A|O|B|C]]|D|@]|E|$]]|$1|F|3|G|5|H|7|P|8|@]|D|@]|E|$I|J]]|$1|K|3|-4|5|6|7|Q|8|@]|D|@]|E|$]]]|L|$]]

If we need to list the installed packages in the Python shell, we can use the <code>help</code> command as follows
<pre><code>&gt;&gt;&gt; help('modules package')
</code></pre>

blocks|key|1369922|text|解决方案|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1369923|不要与pip+>+10.0一起使用！|1369924|我从Python脚本中获取pip+freeze-like列表的50美分：|offset|length|style|CODE|1369925|import+pip
installed_packages+=+pip.get_installed_distributions()
installed_packages_list+=+sorted(["%25s==%25s"+%25+(i.key,+i.version)
+++++for+i+in+installed_packages])
print(installed_packages_list)|code-block|syntax|javascript|1369926|作为一个(过长的)一行：|1369927|sorted(["%25s==%25s"+%25+(i.key,+i.version)+for+i+in+pip.get_installed_distributions()])|1369928|给予：|1369929|['behave==1.2.4',+'enum34==1.0',+'flask==0.10.1',+'itsdangerous==0.24',+
+'jinja2==2.7.2',+'jsonschema==2.3.0',+'markupsafe==0.23',+'nose==1.3.3',+
+'parse-type==0.3.4',+'parse==1.6.4',+'prettytable==0.7.2',+'requests==2.3.0',
+'six==1.6.1',+'vioozer-metadata==0.1',+'vioozer-users-server==0.1',+
+'werkzeug==0.9.4']|1369930|作用域|1369931|本解决方案适用于系统范围或虚拟环境范围，涵盖由setuptools、pip和(god+forbid)+easy_install安装的软件包。|1369932|我的用例|1369933|我将此调用的结果添加到我的flask服务器，因此当我使用http://example.com/exampleServer/environment调用它时，我会得到安装在服务器的virtualenv上的包的列表。它使调试变得容易得多。|1369934|注意事项|1369935|我注意到这种技术有一个奇怪的行为--当Python解释器在与setup.py文件相同的目录中被调用时，它不会列出由setup.py安装的包。|1369936|重现步骤：|1369937|创建虚拟环境|1369938|$+cd+/tmp
$+virtualenv+test_env
New+python+executable+in+test_env/bin/python
Installing+setuptools,+pip...done.
$+source+test_env/bin/activate
(test_env)+$+|1369939|使用setup.py克隆git存储库|1369940|(test_env)+$+git+clone+https://github.com/behave/behave.git
Cloning+into+'behave'...
remote:+Reusing+existing+pack:+4350,+done.
remote:+Total+4350+(delta+0),+reused+0+(delta+0)
Receiving+objects:+100%25+(4350/4350),+1.85+MiB+%7C+418.00+KiB/s,+done.
Resolving+deltas:+100%25+(2388/2388),+done.
Checking+connectivity...+done.|1369941|我们在/tmp/behave中有behave的setup.py|1369942|(test_env)+$+ls+/tmp/behave/setup.py
/tmp/behave/setup.py|1369943|从git资源库安装python包。|1369944|(test_env)+$+cd+/tmp/behave+&&+pip+install+.+
running+install
...
Installed+/private/tmp/test_env/lib/python2.7/site-packages/enum34-1.0-py2.7.egg
Finished+processing+dependencies+for+behave==1.2.5a1|1369945|如果我们从/tmp运行前面提到的解决方案|1369946|>>>+import+pip
>>>+sorted(["%25s==%25s"+%25+(i.key,+i.version)+for+i+in+pip.get_installed_distributions()])
['behave==1.2.5a1',+'enum34==1.0',+'parse-type==0.3.4',+'parse==1.6.4',+'six==1.6.1']
>>>+import+os
>>>+os.getcwd()
'/private/tmp'|1369947|如果我们从/tmp/behave运行前面提到的解决方案|1369948|>>>+import+pip
>>>+sorted(["%25s==%25s"+%25+(i.key,+i.version)+for+i+in+pip.get_installed_distributions()])
['enum34==1.0',+'parse-type==0.3.4',+'parse==1.6.4',+'six==1.6.1']
>>>+import+os
>>>+os.getcwd()
'/private/tmp/behave'|1369949|第二个示例中缺少behave==1.2.5a1，因为工作目录包含behave的setup.py文件。|1369950|我在文档中找不到任何关于这个问题的参考。也许我应该为它打开一个bug。|1369951|entityMap|0|LINK|mutability|MUTABLE|url|https://stackoverflow.com/questions/3220404/why-use-pip-over-easy-install^0|0|0|D|A|0|0|0|0|0|0|0|N|A|Y|3|1F|C|13|A|0|0|0|S|18|0|0|U|8|1L|8|0|0|0|0|2|8|0|0|3|B|N|8|0|0|0|0|5|4|0|0|5|B|0|0|8|F|W|6|13|8|0|0^^$0|@$1|2|3|4|5|6|7|2A|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|2B|8|@]|9|@]|A|$]]|$1|D|3|E|5|6|7|2C|8|@$F|2D|G|2E|H|I]]|9|@]|A|$]]|$1|J|3|K|5|L|7|2F|8|@]|9|@]|A|$M|N]]|$1|O|3|P|5|6|7|2G|8|@]|9|@]|A|$]]|$1|Q|3|R|5|L|7|2H|8|@]|9|@]|A|$M|N]]|$1|S|3|T|5|6|7|2I|8|@]|9|@]|A|$]]|$1|U|3|V|5|L|7|2J|8|@]|9|@]|A|$M|N]]|$1|W|3|X|5|6|7|2K|8|@]|9|@]|A|$]]|$1|Y|3|Z|5|6|7|2L|8|@$F|2M|G|2N|H|I]|$F|2O|G|2P|H|I]|$F|2Q|G|2R|H|I]]|9|@$F|2S|G|2T|1|2U]]|A|$]]|$1|10|3|11|5|6|7|2V|8|@]|9|@]|A|$]]|$1|12|3|13|5|6|7|2W|8|@$F|2X|G|2Y|H|I]]|9|@]|A|$]]|$1|14|3|15|5|6|7|2Z|8|@]|9|@]|A|$]]|$1|16|3|17|5|6|7|30|8|@$F|31|G|32|H|I]|$F|33|G|34|H|I]]|9|@]|A|$]]|$1|18|3|19|5|6|7|35|8|@]|9|@]|A|$]]|$1|1A|3|1B|5|6|7|36|8|@]|9|@]|A|$]]|$1|1C|3|1D|5|L|7|37|8|@]|9|@]|A|$M|N]]|$1|1E|3|1F|5|6|7|38|8|@$F|39|G|3A|H|I]]|9|@]|A|$]]|$1|1G|3|1H|5|L|7|3B|8|@]|9|@]|A|$M|N]]|$1|1I|3|1J|5|6|7|3C|8|@$F|3D|G|3E|H|I]|$F|3F|G|3G|H|I]]|9|@]|A|$]]|$1|1K|3|1L|5|L|7|3H|8|@]|9|@]|A|$M|N]]|$1|1M|3|1N|5|6|7|3I|8|@]|9|@]|A|$]]|$1|1O|3|1P|5|L|7|3J|8|@]|9|@]|A|$M|N]]|$1|1Q|3|1R|5|6|7|3K|8|@$F|3L|G|3M|H|I]]|9|@]|A|$]]|$1|1S|3|1T|5|L|7|3N|8|@]|9|@]|A|$M|N]]|$1|1U|3|1V|5|6|7|3O|8|@$F|3P|G|3Q|H|I]]|9|@]|A|$]]|$1|1W|3|1X|5|L|7|3R|8|@]|9|@]|A|$M|N]]|$1|1Y|3|1Z|5|6|7|3S|8|@$F|3T|G|3U|H|I]|$F|3V|G|3W|H|I]|$F|3X|G|3Y|H|I]]|9|@]|A|$]]|$1|20|3|21|5|6|7|3Z|8|@]|9|@]|A|$]]|$1|22|3|-4|5|6|7|40|8|@]|9|@]|A|$]]]|23|$24|$5|25|26|27|A|$28|29]]]]

<h2>Solution</h2>

<h1>Do not use with pip > 10.0!</h1>

My 50 cents for getting a <code>pip freeze</code>-like list from a Python script:

<pre class="lang-python prettyprint-override"><code>import pip
installed_packages = pip.get_installed_distributions()
installed_packages_list = sorted(["%s==%s" % (i.key, i.version)
 for i in installed_packages])
print(installed_packages_list)
</code></pre>

As a (too long) one liner:

<pre class="lang-python prettyprint-override"><code>sorted(["%s==%s" % (i.key, i.version) for i in pip.get_installed_distributions()])
</code></pre>

Giving:

<pre class="lang-js prettyprint-override"><code>['behave==1.2.4', 'enum34==1.0', 'flask==0.10.1', 'itsdangerous==0.24', 
 'jinja2==2.7.2', 'jsonschema==2.3.0', 'markupsafe==0.23', 'nose==1.3.3', 
 'parse-type==0.3.4', 'parse==1.6.4', 'prettytable==0.7.2', 'requests==2.3.0',
 'six==1.6.1', 'vioozer-metadata==0.1', 'vioozer-users-server==0.1', 
 'werkzeug==0.9.4']
</code></pre>

<h2>Scope</h2>

This solution applies to the system scope or to a virtual environment scope, and covers packages installed by <code>setuptools</code>, <code>pip</code> and (<a href="https://stackoverflow.com/questions/3220404/why-use-pip-over-easy-install">god forbid</a>) <code>easy_install</code>.

<h2>My use case</h2>

I added the result of this call to my flask server, so when I call it with <code>http://example.com/exampleServer/environment</code> I get the list of packages installed on the server's virtualenv. It makes debugging a whole lot easier.

<h2>Caveats</h2>

I have noticed a strange behaviour of this technique - when the Python interpreter is invoked in the same directory as a <code>setup.py</code> file, it does not list the package installed by <code>setup.py</code>.

<h3>Steps to reproduce:</h3>

Create a virtual environment

<pre><code>$ cd /tmp
$ virtualenv test_env
New python executable in test_env/bin/python
Installing setuptools, pip...done.
$ source test_env/bin/activate
(test_env) $ 
</code></pre>

Clone a git repo with <code>setup.py</code>

<pre><code>(test_env) $ git clone https://github.com/behave/behave.git
Cloning into 'behave'...
remote: Reusing existing pack: 4350, done.
remote: Total 4350 (delta 0), reused 0 (delta 0)
Receiving objects: 100% (4350/4350), 1.85 MiB | 418.00 KiB/s, done.
Resolving deltas: 100% (2388/2388), done.
Checking connectivity... done.
</code></pre>

We have behave's <code>setup.py</code> in <code>/tmp/behave</code>:

<pre><code>(test_env) $ ls /tmp/behave/setup.py
/tmp/behave/setup.py
</code></pre>

Install the python package from the git repo

<pre><code>(test_env) $ cd /tmp/behave &amp;&amp; pip install . 
running install
...
Installed /private/tmp/test_env/lib/python2.7/site-packages/enum34-1.0-py2.7.egg
Finished processing dependencies for behave==1.2.5a1
</code></pre>

<h3>If we run the aforementioned solution from <code>/tmp</code></h3>

<pre><code>&gt;&gt;&gt; import pip
&gt;&gt;&gt; sorted(["%s==%s" % (i.key, i.version) for i in pip.get_installed_distributions()])
['behave==1.2.5a1', 'enum34==1.0', 'parse-type==0.3.4', 'parse==1.6.4', 'six==1.6.1']
&gt;&gt;&gt; import os
&gt;&gt;&gt; os.getcwd()
'/private/tmp'
</code></pre>

<h3>If we run the aforementioned solution from <code>/tmp/behave</code></h3>

<pre><code>&gt;&gt;&gt; import pip
&gt;&gt;&gt; sorted(["%s==%s" % (i.key, i.version) for i in pip.get_installed_distributions()])
['enum34==1.0', 'parse-type==0.3.4', 'parse==1.6.4', 'six==1.6.1']
&gt;&gt;&gt; import os
&gt;&gt;&gt; os.getcwd()
'/private/tmp/behave'
</code></pre>

<code>behave==1.2.5a1</code> is missing from the second example, because the working directory contains <code>behave</code>'s <code>setup.py</code> file.

I could not find any reference to this issue in the documentation. Perhaps I shall open a bug for it.

blocks|key|1369985|text|在windows上，在cmd中输入以下内容|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1369986|c:\python\libs>python+-m+pip+freeze|code-block|syntax|javascript|1369987|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|$]]

on windows, Enter this in cmd

<pre><code>c:\python\libs&gt;python -m pip freeze
</code></pre>

blocks|key|1370007|text|从pip+10开始，接受的答案将不再有效。开发团队已经删除了对get_installed_distributions例程的访问。在setuptools中有一个替代函数来做同样的事情。以下是适用于pip+10的替代版本：|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|1370008|import+pkg_resources
installed_packages+=+pkg_resources.working_set
installed_packages_list+=+sorted(["%25s==%25s"+%25+(i.key,+i.version)
+++++for+i+in+installed_packages])
print(installed_packages_list)|code-block|syntax|javascript|1370009|请让我知道它在以前的pip版本中是否也能工作。|1370010|entityMap^0|V|R|1T|A|0|0|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]]|$1|K|3|L|5|6|7|U|8|@]|D|@]|E|$]]|$1|M|3|-4|5|6|7|V|8|@]|D|@]|E|$]]]|N|$]]

As of pip 10, the accepted answer will no longer work. The development team has removed access to the <code>get_installed_distributions</code> routine. There is an alternate function in the <code>setuptools</code> for doing the same thing. Here is an alternate version that works with pip 10:

<pre><code>import pkg_resources
installed_packages = pkg_resources.working_set
installed_packages_list = sorted(["%s==%s" % (i.key, i.version)
 for i in installed_packages])
print(installed_packages_list)
</code></pre>

Please let me know if it will or won't work in previous versions of pip, too.

blocks|key|1370035|text|我通常使用pip+list来获取包的列表(带版本)。|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|1370036|当然，这也适用于虚拟环境。要仅显示虚拟环境(而不是全局包)中安装的内容，请使用pip+list+--local。|1370037|Here's+documentation展示了所有可用的pip+list选项，并提供了几个很好的示例。|1370038|entityMap|0|LINK|mutability|MUTABLE|url|https://pip.pypa.io/en/stable/reference/pip_list/^0|5|8|0|13|G|0|S|8|0|K|0|0^^$0|@$1|2|3|4|5|6|7|R|8|@$9|S|A|T|B|C]]|D|@]|E|$]]|$1|F|3|G|5|6|7|U|8|@$9|V|A|W|B|C]]|D|@]|E|$]]|$1|H|3|I|5|6|7|X|8|@$9|Y|A|Z|B|C]]|D|@$9|10|A|11|1|12]]|E|$]]|$1|J|3|-4|5|6|7|13|8|@]|D|@]|E|$]]]|K|$L|$5|M|N|O|E|$P|Q]]]]

I normally use <code>pip list</code> to get a list of packages (with version).

This works in a virtual environment too, of course. To show what's installed in only the virtual environment (not global packages), use <code>pip list --local</code>.

<a href="https://pip.pypa.io/en/stable/reference/pip_list/" rel="noreferrer">Here's documentation</a> showing all the available <code>pip list</code> options, with several good examples.

blocks|key|1370055|text|试试这些|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1370056|pip+list|code-block|syntax|javascript|1370057|或|1370058|pip+freeze|1370059|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]]|$1|G|3|H|5|6|7|O|8|@]|9|@]|A|$]]|$1|I|3|J|5|D|7|P|8|@]|9|@]|A|$E|F]]|$1|K|3|-4|5|6|7|Q|8|@]|9|@]|A|$]]]|L|$]]

Try these

<pre><code>pip list
</code></pre>

or

<pre><code>pip freeze
</code></pre>

blocks|key|1370092|text|如果有人想知道如何从Python程序中调用pip+list，您可以使用以下命令：|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|1370093|import+pip
pip.main(['list])++#+this+will+print+all+the+packages|code-block|syntax|javascript|1370094|entityMap^0|L|8|0|0^^$0|@$1|2|3|4|5|6|7|M|8|@$9|N|A|O|B|C]]|D|@]|E|$]]|$1|F|3|G|5|H|7|P|8|@]|D|@]|E|$I|J]]|$1|K|3|-4|5|6|7|Q|8|@]|D|@]|E|$]]]|L|$]]

For anyone wondering how to call <code>pip list</code> from a Python program you can use the following:

<pre><code>import pip
pip.main(['list]) # this will print all the packages
</code></pre>

blocks|key|1370117|text|这会有帮助的|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1370118|在terminal或IPython中，键入：|1370119|help('modules')|code-block|syntax|javascript|1370120|然后|1370121|In+[1]:+import++++++++++++++++++++++#import+press-TAB
Display+all+631+possibilities?+(y+or+n)
ANSI+++++++++++++++++++audiodev+++++++++++++++markupbase
AptUrl+++++++++++++++++audioop++++++++++++++++markupsafe
ArgImagePlugin+++++++++avahi++++++++++++++++++marshal
BaseHTTPServer+++++++++axi++++++++++++++++++++math
Bastion++++++++++++++++base64+++++++++++++++++md5
BdfFontFile++++++++++++bdb++++++++++++++++++++mhlib
BmpImagePlugin+++++++++binascii+++++++++++++++mimetools
BufrStubImagePlugin++++binhex+++++++++++++++++mimetypes
CDDB+++++++++++++++++++bisect+++++++++++++++++mimify
CDROM++++++++++++++++++bonobo+++++++++++++++++mmap
CGIHTTPServer++++++++++brlapi+++++++++++++++++mmkeys
Canvas+++++++++++++++++bsddb++++++++++++++++++modulefinder
CommandNotFound++++++++butterfly++++++++++++++multifile
ConfigParser+++++++++++bz2++++++++++++++++++++multiprocessing
ContainerIO++++++++++++cPickle++++++++++++++++musicbrainz2
Cookie+++++++++++++++++cProfile+++++++++++++++mutagen
Crypto+++++++++++++++++cStringIO++++++++++++++mutex
CurImagePlugin+++++++++cairo++++++++++++++++++mx
DLFCN++++++++++++++++++calendar+++++++++++++++netrc
DcxImagePlugin+++++++++cdrom++++++++++++++++++new
Dialog+++++++++++++++++cgi++++++++++++++++++++nis
DiscID+++++++++++++++++cgitb++++++++++++++++++nntplib
DistUpgrade++++++++++++checkbox+++++++++++++++ntpath|1370122|entityMap^0|0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|O|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|P|8|@]|9|@]|A|$]]|$1|D|3|E|5|F|7|Q|8|@]|9|@]|A|$G|H]]|$1|I|3|J|5|6|7|R|8|@]|9|@]|A|$]]|$1|K|3|L|5|F|7|S|8|@]|9|@]|A|$G|H]]|$1|M|3|-4|5|6|7|T|8|@]|9|@]|A|$]]]|N|$]]

<h1>This will help</h1>
In terminal or IPython, type:
<pre><code>help('modules')
</code></pre>
then
<pre><code>In [1]: import #import press-TAB
Display all 631 possibilities? (y or n)
ANSI audiodev markupbase
AptUrl audioop markupsafe
ArgImagePlugin avahi marshal
BaseHTTPServer axi math
Bastion base64 md5
BdfFontFile bdb mhlib
BmpImagePlugin binascii mimetools
BufrStubImagePlugin binhex mimetypes
CDDB bisect mimify
CDROM bonobo mmap
CGIHTTPServer brlapi mmkeys
Canvas bsddb modulefinder
CommandNotFound butterfly multifile
ConfigParser bz2 multiprocessing
ContainerIO cPickle musicbrainz2
Cookie cProfile mutagen
Crypto cStringIO mutex
CurImagePlugin cairo mx
DLFCN calendar netrc
DcxImagePlugin cdrom new
Dialog cgi nis
DiscID cgitb nntplib
DistUpgrade checkbox ntpath
</code></pre>

blocks|key|1370135|text|安装|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1370136|pip+install+pkgutil|code-block|syntax|javascript|1370137|代码|1370138|import+pkgutil

for+i+in+pkgutil.iter_modules(None):+#+returns+a+tuple+(path,+package_name,+ispkg_flag)
++++print(i[1])+#or+you+can+append+it+to+a+list|1370139|示例输出：|1370140|multiprocessing
netrc
nntplib
ntpath
nturl2path
numbers
opcode
pickle
pickletools
pipes
pkgutil|1370141|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|$]]

Installation

<pre><code>pip install pkgutil
</code></pre>

Code

<pre><code>import pkgutil

for i in pkgutil.iter_modules(None): # returns a tuple (path, package_name, ispkg_flag)
 print(i[1]) #or you can append it to a list
</code></pre>

Sample Output:

<pre><code>multiprocessing
netrc
nntplib
ntpath
nturl2path
numbers
opcode
pickle
pickletools
pipes
pkgutil
</code></pre>

blocks|key|1370158|text|这是一个python代码解决方案，它将返回已安装模块的列表。用户可以很容易地修改代码以包含版本号。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1370159|import+subprocess
import+sys
from+pprint+import+pprint

installed_packages+=+reqs+=+subprocess.check_output([sys.executable,+'-m',+'pip',+'freeze']).decode('utf-8')
installed_packages+=+installed_packages.split('\r\n')
installed_packages+=+[pkg.split('==')[0]+for+pkg+in+installed_packages+if+pkg+!=+'']
pprint(installed_packages)|code-block|syntax|javascript|1370160|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|$]]

Here is a python code solution that will return a list of modules installed. One can easily modify the code to include version numbers.

<pre class="lang-py prettyprint-override"><code>import subprocess
import sys
from pprint import pprint

installed_packages = reqs = subprocess.check_output([sys.executable, '-m', 'pip', 'freeze']).decode('utf-8')
installed_packages = installed_packages.split('\r\n')
installed_packages = [pkg.split('==')[0] for pkg in installed_packages if pkg != '']
pprint(installed_packages)
</code></pre>

blocks|key|1370232|text|如果以上这些似乎都没有帮助，那么在我的环境中，系统升级中断，我无法升级pip。虽然它不会给你一个准确的列表，但你可以简单地通过查看你的env>lib>python(version+here)>site-packages>来了解安装了哪些库。在这里，您将获得已安装模块的良好指示。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1370233|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 none of the above seem to help, in my environment was broken from a system upgrade and I could not upgrade pip. While it won't give you an accurate list you can get an idea of which libraries were installed simply by looking inside your env&gt;lib&gt;python(version here)&gt;site-packages&gt; . Here you will get a good indication of modules installed.

blocks|key|1585287|text|pip+install+pip-chill+
pip-chill|type|code-block|depth|inlineStyleRanges|entityRanges|data|syntax|javascript|1585288|unstyled|entityMap^0|0^^$0|@$1|2|3|4|5|6|7|G|8|@]|9|@]|A|$B|C]]|$1|D|3|-4|5|E|7|H|8|@]|9|@]|A|$]]]|F|$]]

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

I would like to get a list of Python modules, which are in my Python installation (UNIX server).

How can you get a list of Python modules installed in your computer?

How can I get a list of locally installed Python modules?

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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我想获得Python模块的列表，这些模块在我的Python安装(UNIX服务器)中。如何获得安装在计算机上的Python模块的列表？

问如何获取本地安装的Python模块列表？
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问如何获取本地安装的Python模块列表？EN