F.A.S.T. package for summarizing ROOT TTrees
Project description
fast-carpenter
Turns your trees into tables (ie. reads ROOT TTrees, writes summary Pandas DataFrames)
fast-carpenter can:
Be controlled using YAML-based config files
Define new variables
Cut out events or define phase-space “regions”
Produce histograms stored as CSV files using multiple weighting schemes
Make use of user-defined stages to manipulate the data
Powered by:
AlphaTwirl (presently): to run the dataset splitting
Atuproot: to adapt AlphaTwirl to use uproot
uproot: to load ROOT Trees into memory as numpy arrays
fast-flow: to manage the processing config files
fast-curator: to orchestrate the lists of datasets to be processed
coffee: to help the developer(s) write code
A tool from the Faster Analysis Software Taskforce: http://fast-hep.web.cern.ch/
Installation and usage
Visit the documentation for full details.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for fast_carpenter-0.14.2-py2.py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 9b0f5b1622a572acf8e7c8aabe48ddfd74b347d8886c09d35248b5fbad4dcc6b |
|
MD5 | ffdf4df678603fc8c3ec3af76ae4a04b |
|
BLAKE2b-256 | c5f0723a16ecf14bc4543c951e6090fa1a78c2daff945629c0e6593f55767757 |