AlphaTwirl
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 configura...
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| Format: | Article |
| Language: | English |
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EDP Sciences
2019-01-01
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| Series: | EPJ Web of Conferences |
| Online Access: | https://www.epj-conferences.org/articles/epjconf/pdf/2019/19/epjconf_chep2018_02001.pdf |
| _version_ | 1818649670862241792 |
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| author | Sakuma Tai |
| author_facet | Sakuma Tai |
| author_sort | Sakuma Tai |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-17T01:38:01Z |
| format | Article |
| id | doaj.art-b0b4baa517354f93b344409d240bcb9c |
| institution | Directory Open Access Journal |
| issn | 2100-014X |
| language | English |
| last_indexed | 2024-12-17T01:38:01Z |
| publishDate | 2019-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | EPJ Web of Conferences |
| spelling | doaj.art-b0b4baa517354f93b344409d240bcb9c2022-12-21T22:08:24ZengEDP SciencesEPJ Web of Conferences2100-014X2019-01-012140200110.1051/epjconf/201921402001epjconf_chep2018_02001AlphaTwirlSakuma TaiAlphaTwirl 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.https://www.epj-conferences.org/articles/epjconf/pdf/2019/19/epjconf_chep2018_02001.pdf |
| spellingShingle | Sakuma Tai AlphaTwirl EPJ Web of Conferences |
| title | AlphaTwirl |
| title_full | AlphaTwirl |
| title_fullStr | AlphaTwirl |
| title_full_unstemmed | AlphaTwirl |
| title_short | AlphaTwirl |
| title_sort | alphatwirl |
| url | https://www.epj-conferences.org/articles/epjconf/pdf/2019/19/epjconf_chep2018_02001.pdf |
| work_keys_str_mv | AT sakumatai alphatwirl |