Plot histograms in a scalable way and a beautiful style.
Project description
Plot histograms in a scalable way and a beautiful style.
Installation and documentation: https://plothist.readthedocs.io/
Image gallery: https://plothist.readthedocs.io/en/latest/example_gallery/
Major advantages over other plotting libraries: scalability, style and user-friendly way of managing variables and a stunning image gallery.
First idea: default style is already presentation-ready and/or paper-ready (with no effort).
Second idea: separate the histogram creation from its plotting. Then you can easily manage histogram objects (boost_histogram library) and plot large amount of variables and data really fast.
Third idea: plot a lot of variable easily with a variable manager. Really easy to modify the plotting information and do multiple plots with same variable but different settings.
Fourth idea: detailed and user-friendly documentation including a marvelous gallery of examples.
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