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ZENODO
Other literature type . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Presentation . 2024
License: CC BY
Data sources: Datacite
ZENODO
Presentation . 2024
License: CC BY
Data sources: Datacite
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Reading RNTuple data with Uproot

descriptionPublicationkeyboard_double_arrow_right Presentation , Other literature type 02 Jul 2024Publisher:Zenodo
Authors: Rios-Tascon, Andres;

doi: 10.5281/zenodo.12634029 , 10.5281/zenodo.12634030

Reading RNTuple data with Uproot

Abstract

RNTuple is an upcoming columnar data storage format with a variety of improvements over TTree. It is available as an experimental feature in the latest versions of ROOT, and a stable version is expected in the not-so-distant future. The Uproot Python library has kept up changes in the RNTuple specification and currently supports reading most RNTuple files. In this talk, I will briefly introduce the RNTuple format and its benefits, demonstrate how to use the Uproot library to read RNTuple data, and discuss current capabilities, limitations, and future work that will be done to support as much of the RNTuple specification as possible.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average