Plot histograms in a scalable way and a beautiful style.
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Visualize and compare data in a scalable way and a beautiful style.
Installation and documentation: https://plothist.readthedocs.io/
Example gallery: https://plothist.readthedocs.io/en/latest/example_gallery/
This package is a wrapper around matplotlib.
Advantages of the package: scalability, style and user-friendly way of managing variables and a stunning example gallery.
First idea: default style is already presentation-ready and/or publication-ready (with no effort).
Second idea: separate the histogram creation from its plotting. This allows to easily manage histogram objects (defined in the boost_histogram package) and plot large amount of variables and data really fast.
Third idea: visualize a lot of variables easily with a variable manager. Really easy to modify the plotting information and make multiple plots of the same variable with different settings.
Fourth idea: detailed and user-friendly documentation including a marvelous example gallery.
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