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@@ -256,10 +256,10 @@ The same technique can be used for linking against a custom build of python
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Why?
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----
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I initially started this library during my diploma thesis. The usual approach of
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I initially started this library during my diploma thesis. The usual approach of
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writing data from the c++ algorithm to a file and afterwards parsing and plotting
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it in python using matplotlib proved insufficient: Keeping the algorithm
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and plotting code in sync requires a lot of effort when the C++ code frequently and substantially
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and plotting code in sync requires a lot of effort when the C++ code frequently and substantially
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changes. Additionally, the python yaml parser was not able to cope with files that
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exceed a few hundred megabytes in size.
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@@ -290,4 +290,4 @@ Todo/Issues/Wishlist
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in "".'
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* MacOS: `Unable to import matplotlib.pyplot`. Cause: In mac os image rendering back end of matplotlib (what-is-a-backend to render using the API of Cocoa by default). There is Qt4Agg and GTKAgg and as a back-end is not the default. Set the back end of macosx that is differ compare with other windows or linux os.
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Solution is discribed[here](https://stackoverflow.com/questions/21784641/installation-issue-with-matplotlib-python?noredirect=1&lq=1), additional information can be found there too(see links in answers).
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Solution is described[here](https://stackoverflow.com/questions/21784641/installation-issue-with-matplotlib-python?noredirect=1&lq=1), additional information can be found there too(see links in answers).
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