Schreiner, Henry Fredrick
Dembinski, Hans Peter
2020-07-17
<p>The boost-histogram library provides first-class histogram objects in Python. You can compose axes and a storage to fit almost any problem. You can fill, manipulate, slice, and project then, and pass them between other Scikit-HEP libraries like Uproot4, mplhep, and histoprint. Boost-histogram is meant to be the "NumPy" of histogram libraries that others can build on; the "pandas" of histograms is "Hist", a physicist friendly front-end that extends and expands boost-histogram to do plotting and more. An early version of Hist is shown for the first time here.</p>
https://doi.org/10.5281/zenodo.4147611
oai:zenodo.org:4147611
Zenodo
https://zenodo.org/communities/pyhep2020
https://doi.org/10.5281/zenodo.4147610
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
PyHEP 2020 Workshop, 13-17 July 2020
The boost-histogram package
info:eu-repo/semantics/lecture