在安装mechanize后，我似乎无法导入它。
我已经尝试从pip、easy_install和通过python setup.py从这个repo安装:https://github.com/abielr/mechanize。所有这些都无济于事，因为每次我输入Python交互时，我得到:
Python 2.7.3 (default, Aug 1 2012, 05:14:39)
[GCC 4.6.3] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>> import mechanize
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
ImportError: No module named mechanize
>>>
我之前运行的安装报告已经成功完成，因此我希望导入能够正常工作。是什么导致了这个错误?
当前回答
在我的情况下，我还必须为超级用户安装模块。
sudo su
pip install <module>
显然，superuse在某些情况下不能访问普通用户的文件。
其他回答
对我来说最简单的解决方案，但我在这篇文章中没有提到:
我安装了多个版本的Python，但试图使用Python3.7 -所以我必须使用:
Sudo pip3.7 install <package> . sh
在PyCharm中，我通过更改项目解释器路径解决了这个问题。
文件->设置->项目->项目解释器
File -> Invalidate缓存…之后可能需要。
在我的情况下(WIN10主机上的Ubuntu 20.04虚拟机)，我有一个混乱的情况，安装了许多版本的Python和不同点的共享库(在文件系统的许多点安装pip)。我指的是3.8.10 Python版本。 经过多次测试，我用谷歌搜索发现了一个建议(但是“对不起，我没有链接”)。下面是我为解决这个问题所做的:
From shell session on Ubuntu 20.04 VM, (inside the Home, in my case /home/hduser), I've started a Jupyter Notebook session with the command "jupyter notebook". Then, when jupyter was running I've opened a .ipynb file to give commands. First : pip list --> give me the list of packages installed, and, sympy wasn't present (although I had installed it with "sudo pip install sympy" command. Last with the command !pip3 install sympy (inside jupyter notebook session) I've solved the problem, here the screen-shot : Now, with !pip list the package "sympy" is present, and working :
I know, that this is very old post but I didn't find any answer that was useful in my case (I am using arch linux). I had a similar problem installing "nest_asyncio" package which was definitely installed (visible when listing all the installed packages). There is a right way for arch linux users of installing python packages (as it was already explained here by Emanuel Fontelles). In my case the solution was just to uninstall the remaining not-working package (in my case "nest_asyncio") and then installing it again using the following command:
sudo pacman - s python-"nest_asyncio .
这解决了所有的问题。
检查您在IDE或代码编辑器的解释器和系统上使用的python版本是否相同。 例如，在终端中使用python3——version检查python版本 并在VSCode中通过cmd+shift+p->检查解释器的python版本:Select interpreter ->选择与您在终端中看到的相同的版本。
