/plothist

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

Primary LanguagePythonBSD 3-Clause "New" or "Revised" LicenseBSD-3-Clause

plothist

Plot histograms in a scalable way and a beautiful style.

Installation and documentation: https://plothist.readthedocs.io/

Hep example Hep example

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

Major advantages over other plotting libraries: scalability, style and user friendly way of managing variables.

  1. First idea: Default style is already presentation-ready and/or paper-ready (with no effort).
  2. 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.
  3. 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.

Complexe hep example