这个答案是为Windows用户准备的。正如在所有其他答案中建议的那样，你可以这样使用语句:

import [type the module name]
print(module.__version__) # module + '.' + double underscore + version + double underscore

但是，有一些模块即使在使用上面的方法后也不打印它们的版本。所以，你可以简单地做:

Open the command prompt. Navigate to the file address/directory by using cd (file address) where you've kept your Python and all supporting modules installed. If you have only one Python interpreter on your system, the PyPI packages are normally visible in the directory/folder: Python → Lib → site-packages. use the command "pip install [module name]" and hit Enter. This will show you a message as "Requirement already satisfied: file address\folder name (with version)". See the screenshot below for example: I had to know the version of a pre-installed module named "Selenium-Screenshot". It correctly showed as 1.5.0:

获取当前模块中导入的非标准(pip)模块列表:

[{pkg.key : pkg.version} for pkg in pip.get_installed_distributions() 
   if pkg.key in set(sys.modules) & set(globals())]

结果:

>>> import sys, pip, nltk, bs4
>>> [{pkg.key : pkg.version} for pkg in pip.get_installed_distributions() if pkg.key in set(sys.modules) & set(globals())]
[{'pip': '9.0.1'}, {'nltk': '3.2.1'}, {'bs4': '0.0.1'}]

注意:

这段代码从解决方案放在一起在这个页面和如何列出导入的模块?

这个答案是为Windows用户准备的。正如在所有其他答案中建议的那样，你可以这样使用语句:

import [type the module name]
print(module.__version__) # module + '.' + double underscore + version + double underscore

但是，有一些模块即使在使用上面的方法后也不打印它们的版本。所以，你可以简单地做:

Open the command prompt. Navigate to the file address/directory by using cd (file address) where you've kept your Python and all supporting modules installed. If you have only one Python interpreter on your system, the PyPI packages are normally visible in the directory/folder: Python → Lib → site-packages. use the command "pip install [module name]" and hit Enter. This will show you a message as "Requirement already satisfied: file address\folder name (with version)". See the screenshot below for example: I had to know the version of a pre-installed module named "Selenium-Screenshot". It correctly showed as 1.5.0:

在Python 3中用括号括起来的print:

>>> import celery
>>> print(celery.__version__)
3.1.14

总而言之:

conda list

(它将提供所有的库以及版本细节。)

And:

pip show tensorflow

(它提供了完整的图书馆细节。)

对于未定义字段__version__的情况:

try:
    from importlib import metadata
except ImportError:
    import importlib_metadata as metadata # python<=3.7

metadata.version("package")

或者，就像之前提到的那样:

import pkg_resources
pkg_resources.get_distribution('package').version