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The boost-histogram package

Schreiner, Henry Fredrick; Dembinski, Hans Peter


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  <dc:creator>Schreiner, Henry Fredrick</dc:creator>
  <dc:creator>Dembinski, Hans Peter</dc:creator>
  <dc:date>2020-07-17</dc:date>
  <dc:description>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.</dc:description>
  <dc:identifier>https://zenodo.org/record/4147611</dc:identifier>
  <dc:identifier>10.5281/zenodo.4147611</dc:identifier>
  <dc:identifier>oai:zenodo.org:4147611</dc:identifier>
  <dc:relation>doi:10.5281/zenodo.4147610</dc:relation>
  <dc:relation>url:https://zenodo.org/communities/pyhep2020</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
  <dc:title>The boost-histogram package</dc:title>
  <dc:type>info:eu-repo/semantics/lecture</dc:type>
  <dc:type>presentation</dc:type>
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