Python安装在本地目录。

我的目录树是这样的:

(local directory)/site-packages/toolkit/interface.py

我的代码在这里:

(local directory)/site-packages/toolkit/examples/mountain.py

为了运行这个例子,我编写了python mountain.py,在代码中我有:

from toolkit.interface import interface

我得到了一个错误:

Traceback (most recent call last):
  File "mountain.py", line 28, in ?
    from toolkit.interface import interface
ImportError: No module named toolkit.interface

我已经检查过系统了。这里有目录/site-packages。此外,我在工具包文件夹中有__init__.py.bin文件,以向Python表明这是一个包。我在examples目录中也有一个__init__.py.bin。

我不知道为什么Python无法在sys.path中找到该文件。什么好主意吗?会是权限问题吗?我需要一些执行许可吗?


当前回答

在我的例子中,问题是我链接到调试python和boost:: python,这要求扩展名是愚息_d。pyd,不仅仅是愚愚。pyd;重命名文件或更新CMakeLists.txt属性修复了错误。

其他回答

在遭受同样的问题后,我发现我的解决方案是从我的项目中删除所有pyc文件,似乎这些缓存文件以某种方式导致了这个错误。

我发现做到这一点最简单的方法是在Windows资源管理器中导航到我的项目文件夹并搜索*。然后选择所有(Ctrl+A)并删除它们(Ctrl+X)。

我可以通过删除特定的pyc文件来解决我的问题,但我从未尝试过这样做

所有python文件的文件编码必须为utf-8。

请看这里:https://github.com/jupyter/notebook/issues/3166#issuecomment-581332097

致所有还有这个问题的人。我相信Pycharm与import混淆了。对我来说,当我写“从命名空间导入一些东西”时,前一行会用红色划线,表明有错误,但有效。然而,“from .namespace import something”没有下划线,但也不起作用。

Try

try:
    from namespace import something 
except NameError:
    from .namespace import something

通过编写print (sys.path)修复了我的问题,并发现尽管清洁安装,python仍在使用过时的包。删除这些会使python自动使用正确的包。

当我在LPTHW中做这个练习时,我遇到了非常相似的情况;我永远无法让Python识别我调用的目录中有文件。但最后我还是让它工作了。我所做的,以及我所推荐的,是这样做的:

(注意:从你最初的文章中,我假设你使用的是基于* nix的机器,并从命令行运行,所以这个建议是为你量身定做的。因为我运行Ubuntu,这是我所做的)

Change directory (cd) to the directory above the directory where your files are. In this case, you're trying to run the mountain.py file, and trying to call the toolkit.interface.py module, which are in separate directories. In this case, you would go to the directory that contains paths to both those files (or in other words, the closest directory that the paths of both those files share). Which in this case is the toolkit directory. When you are in the toolkit directory, enter this line of code on your command line: export PYTHONPATH=. This sets your PYTHONPATH to ".", which basically means that your PYTHONPATH will now look for any called files within the directory you are currently in, (and more to the point, in the sub-directory branches of the directory you are in. So it doesn't just look in your current directory, but in all the directories that are in your current directory). After you've set your PYTHONPATH in the step above, run your module from your current directory (the toolkit directory). Python should now find and load the modules you specified.