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Plot histograms in a scalable way and a beautiful style.

Project description

Visualize and compare data in a scalable way and a beautiful style.

Example Example

GitHub Project PyPI version Docs from latest Docs from main Code style: black

Advantages of the package: scalability, style and user-friendly way of managing variables and a stunning image gallery.

  1. First idea: default style is already presentation-ready and/or publication-ready (with no effort).

  2. 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.

  3. 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.

  4. Fourth idea: detailed and user-friendly documentation including a marvelous gallery of examples.

2D histogram with projections

Project details


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plothist-1.1.tar.gz (4.0 MB view hashes)

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plothist-1.1-py3-none-any.whl (2.8 MB view hashes)

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