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/
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_histogrampackage) 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.
