Metadata-Version: 2.1
Name: heppyness
Version: 2.2.1
Home-page: https://gitlab.cern.ch/strichte/heppy
Author: Stefan Richter
Author-email: stefan.richter@cern.ch
Maintainer: Stefan Richter
Maintainer-email: stefan.richter@cern.ch
License: HEP license, based on MIT license
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: Topic :: Scientific/Engineering :: Physics
Requires-Python: >=3.6
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: matplotlib
Requires-Dist: numpy
Requires-Dist: uproot
Requires-Dist: uproot-methods
Requires-Dist: awkward
Requires-Dist: pandas
Requires-Dist: pyyaml
Requires-Dist: sphinx_rtd_theme

# Heppy

Heppy provides pythonic data structures and a few high-level tools for high-energy physics. In particular, it provides very useful histogram classes that neatly integrate systematic variations (which, to my knowledge, no other histogram class that's widely used in HEP does) and support common operations such as addition, division, rebinning, slicing, projecting, integrating. It also provides flexible matplotlib-based plotting.

The documentation can be found [here](https://heppy.readthedocs.io).

This package also provides object conversion from and to ROOT histograms. Reading from ROOT is handled by [uproot](https://github.com/scikit-hep/uproot) and therefore doesn't depend on ROOT per se (i.e., you don't need to have [Py]ROOT installed). Converting to ROOT, however, is still done in PyROOT and thus requires a ROOT installation. This could also be ported to uproot at some point, get in touch if you need that.
