EPJ Web Conf.
Volume 214, 201923rd International Conference on Computing in High Energy and Nuclear Physics (CHEP 2018)
|Number of page(s)||8|
|Section||T2 - Offline computing|
|Published online||17 September 2019|
A Python library for summarizing event data into multivariate categorical data
University of Bristol
* e-mail: firstname.lastname@example.org
Published online: 17 September 2019
AlphaTwirl is a Python library that summarizes large event data into multivariate categorical data, which can be regarded as generalizations of histograms. The output can be imported as data frames in R and pandas. With their rich set of data wrangling tools, users can develop flexible and configurable analysis code. The multivariate categorical data loaded as data frames are readily visualized by graphic tools available in R and Python. AlphaTwirl can process event data concurrently with multiple cores or batch systems. Users can extend and customize nearly any functionality of AlphaTwirl with reusable code. AlphaTwirl is released under the BSD license.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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