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@@ -172,11 +172,11 @@ and plotting code in sync requires a lot of effort when the C++ code frequently
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changes. Additionally, the python yaml parser was not able to cope with files that
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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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exceed a few hundred megabytes in size.
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-Therefore, I was looking for a C++ plotting library that was extremely to use
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-and easy to add into an existing codebase, preferrably header-only. When I found
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+Therefore, I was looking for a C++ plotting library that was extremely easy to use
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+and to add into an existing codebase, preferrably header-only. When I found
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none, I decided to write one myself, which is basically a C++ wrapper around
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none, I decided to write one myself, which is basically a C++ wrapper around
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matplotlib. As you can see from the above examples, plotting data and saving it
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matplotlib. As you can see from the above examples, plotting data and saving it
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-to an image file can be done is as few as two lines of code.
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+to an image file can be done as few as two lines of code.
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The general approach of providing a simple C++ API for utilizing python code
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The general approach of providing a simple C++ API for utilizing python code
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was later generalized and extracted into a separate, more powerful
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was later generalized and extracted into a separate, more powerful
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Alessandro Gentilini