Numpy import error



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 C:\DDOX\xXhackerlordXx\processing\sketchbook\modes\PythonMode\mode\bin\jython.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 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.

Original error was: No module named _multiarray_umath

I am importing numpy and pandas.
Of course I have numpy in my normal site-packages in my python/lib, but I copied it to site-packages since otherwise I would get ImportError: No module named numpy.
I pip upgraded numpy and pandas as they are both up-to-date as it seems.
Any suggestions?

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See, you cannot use numpy as it has a native component.

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does native component mean C code?

Yes, and I’m pretty sure there is not a java alternative. The mdarray (jruby) is similar, which theoretically would be usable, but probably not performant.

You can only run pure python libraries (no C) – so numpy is out. This is a limitation of Jython 2.7.

However, depending on what you are trying to do with numpy / pandas, there might be a pure python library that could give you an equivalent. For example:

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