July 17, 2020 Presentation Open Access

Schreiner, Henry Fredrick; Dembinski, Hans Peter

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{
  "description": "<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 &quot;NumPy&quot; of histogram libraries that others can build on; the &quot;pandas&quot; of histograms is &quot;Hist&quot;, 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>", 
  "license": "https://creativecommons.org/licenses/by/4.0/legalcode", 
  "creator": [
    {
      "affiliation": "Princeton University", 
      "@type": "Person", 
      "name": "Schreiner, Henry Fredrick"
    }, 
    {
      "affiliation": "Max-Planck-Institute for Nuclear Physics, Heidelberg", 
      "@type": "Person", 
      "name": "Dembinski, Hans Peter"
    }
  ], 
  "url": "https://zenodo.org/record/4147611", 
  "datePublished": "2020-07-17", 
  "@type": "PresentationDigitalDocument", 
  "@context": "https://schema.org/", 
  "identifier": "https://doi.org/10.5281/zenodo.4147611", 
  "@id": "https://doi.org/10.5281/zenodo.4147611", 
  "workFeatured": {
    "url": "https://indico.cern.ch/e/PyHEP2020", 
    "@type": "Event", 
    "name": "PyHEP 2020 Workshop"
  }, 
  "name": "The boost-histogram package"
}