Presentation Open Access
The boost-histogram package
Schreiner, Henry Fredrick; Dembinski, Hans Peter
Citation Style Language JSON Export
{
"publisher": "Zenodo",
"DOI": "10.5281/zenodo.4147611",
"title": "The boost-histogram package",
"issued": {
"date-parts": [
[
2020,
7,
17
]
]
},
"abstract": "<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>",
"author": [
{
"family": "Schreiner, Henry Fredrick"
},
{
"family": "Dembinski, Hans Peter"
}
],
"id": "4147611",
"type": "speech",
"event": "PyHEP 2020 Workshop"
}
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Indexed in
- Publication date:
- July 17, 2020
- DOI:
-
- Meeting:
- PyHEP 2020 Workshop, 13-17 July 2020
- Communities:
- License (for files):
- Creative Commons Attribution 4.0 International