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    导入anaconda中库报错的原因与解决方法

    yangyang2020-02-26 11:35:51原创5948

    导入Anaconda中的第三方库运行时报错:ImportError: Missing required dependencies ['pandas']

    推荐:anaconda使用教程

    保留的报错信息:

    D:\Anaconda\envs\py2\python.exe E:/PythonTest/NaiveBayesian.py
    Traceback (most recent call last):
      File "E:/PythonTest/NaiveBayesian.py", line 2, in <module>
        import numpy as np
      File "D:\Anaconda\envs\py2\lib\site-packages\numpy\__init__.py", line 142, in <module>
        from . import core
      File "D:\Anaconda\envs\py2\lib\site-packages\numpy\core\__init__.py", line 71, in <module>
        raise ImportError(msg)
    ImportError: 
    
    IMPORTANT: PLEASE READ THIS FOR ADVICE ON HOW TO SOLVE THIS ISSUE!
    
    Importing the multiarray numpy extension module failed.  Most
    likely you are trying to import a failed build of numpy.
    Here is how to proceed:
    - If you're working with a numpy git repository, try `git clean -xdf`
      (removes all files not under version control) and rebuild numpy.
    - If you are simply trying to use the numpy version that you have installed:
      your installation is broken - please reinstall numpy.
    - If you have already reinstalled and that did not fix the problem, then:
      1. Check that you are using the Python you expect (you're using D:\Anaconda\envs\py2\python.exe),
         and that you have no directories in your PATH or PYTHONPATH that can
         interfere with the Python and numpy versions you're trying to use.
      2. If (1) looks fine, you can open a new issue at
         https://github.com/numpy/numpy/issues.  Please include details on:
         - how you installed Python
         - how you installed numpy
         - your operating system
         - whether or not you have multiple versions of Python installed
         - if you built from source, your compiler versions and ideally a build log
    
         Note: this error has many possible causes, so please don't comment on
         an existing issue about this - open a new one instead.

    解决方法:

    这种问题一般是由于环境变量的配置问题导致程序在引用模块的时候发生了错误。

    添加下面三个环境变量即可解决:

    更多python知识请关注python视频教程

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