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For others, which rely on external libraries or additional dependencies, YMMV. For some packages this was pretty straightforward.
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In order to install a module in Abaqus, the process I used was to install the module for my system python folder for the same version of python that Abaqus uses, then copy the folder from the system python site-packages folder to the Abaqus site packages folder, which is located at $ABAQUS/6.14-1/tools/SMApy/python2.7/lib/python2.7/site-packages (replace the 6.14-1 with your system's version and the $ABAQUS variable is the location of your Abaqus installation). On my system, I believe this was located in the /usr/local/lib/python2.7/site-packages folder. This builds and deploys that package to your python's site-packages/ folder.
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Essentially, what pip does is download the tarball for the package you want, extracts it, then runs "python setup.py install" from the folder it extracts.
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The way python module installation works on Linux (if you're using pip) is basically, you run "pip install package-name" to get additional modules. You'll want to make sure you have a similar Python major version installation as your Abaqus Python version. I separately installed Python 2.7.x as an alternate install (called using python2.7 rather than python in order to not break any OS python scripts). OS: Red Hat Linux 6.x, which comes with Python 2.6.x I believe. This version of Abaqus comes with Python 2.7.x as it's interpreter. So here's what I was able to do as far as getting more functionality within Abaqus's Python version.Ībaqus Version: 6.14-1 (though I believe the approach should work for earlier versions as well, you'll just need to make sure you're using the correct version of python for your external installations). I'm guessing they've compiled their own Python interpreter with their modules linked as shared objects rather than the usual Python package setup. I dabbled with trying to get Abaqus's ODB API modules imported on my system Python install, but I didn't get too far with that. mat files (SciPy can do earlier versions) due to the size of my data files. For that, I needed the hdf5storage module (which relies on h5py) in order to write MATLAB version 7.3. mat files rather than humongous ASCII text files (or reverse engineering NumPy's compressed format). My motivation was to be able to save in MATLAB readable. You probably know that Abaqus's version of Python comes with NumPY, though the version may be a little outdated (I think the NumPy version with Abaqus 6.13 was too low for the last major rewrite of SciPy). Double click recently, I've spent a good deal of time trying to get external python modules (that do not come with the Abaqus installation) in order to cut down on some of my file I/O time extracting Abaqus results for use in other programs (currently MATLAB since that's what most of my current tools are written in or interfaced with). In our example we have extracted the file to the desktop to a folder called abaqus614docs. We recommend using Winzip to extract the file. Right click the file abaqus614docs.zip which you download from the WebStore. This offer is distributed via a.zip file. In our example we have extracted the file to the desktop to a folder called Abaqus 614e1. Now you can install the Abaqus application.
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