如何获得在计算机上安装的Python模块列表?


当前回答

这会有所帮助

在终端或IPython中输入:

help('modules')

then

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

其他回答

下面是一个python代码解决方案,它将返回已安装模块的列表。可以很容易地修改代码以包含版本号。

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)

安装

pip install pkgutil

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

样例输出:

multiprocessing
netrc
nntplib
ntpath
nturl2path
numbers
opcode
pickle
pickletools
pipes
pkgutil

除了使用pip freeze,我还在虚拟环境中安装了蛋黄。

要获取所有可用模块,请运行sys.modules 要获取所有已安装的模块(读取:由pip安装),您可以查看pip.get_installed_distribution ()

对于第二个目的,示例代码:

import pip
for package in pip.get_installed_distributions():
    name = package.project_name # SQLAlchemy, Django, Flask-OAuthlib
    key = package.key # sqlalchemy, django, flask-oauthlib
    module_name = package._get_metadata("top_level.txt") # sqlalchemy, django, flask_oauthlib
    location = package.location # virtualenv lib directory etc.
    version = package.version # version number

如果安装了anaconda python发行版,也可以使用

$conda list

除了上述解决方案。