hepdata-converter

Library providing means of conversion between oldhepdata format to new one, and new one to csv / yoda / root etc.

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Project description

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This software library provides support for converting:

Old HepData format (Sample) to YAML
YAML to:
- ROOT
- YODA
- CSV

Installation

To use this package, you need to have YODA and ROOT (and PyROOT) installed. Instructions to install are available below. Install from PyPI with pip install hepdata-converter.

ROOT Installation

We’ve provided some helpful installation guides for you :)

Download binaries (all platforms)
Build from sources
Mac OS (Homebrew) Installation: brew install root6

YODA Installation

Mac OS. We use brew, you should too :) brew tap davidchall/hep to tell brew where to get package definitions from for HEP. Then, brew install yoda.

Running Tests

Simply run

python -m unittest discover hepdata_converter/testsuite 'test_*'

Documentation

Learn more about using and extending the tool at http://hepdata-converter.readthedocs.io

Project details

These details have not been verified by PyPI

Project links

GitHub Statistics

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Release history Release notifications | RSS feed

0.3.0

Nov 6, 2023

0.2.3

Oct 1, 2020

0.2.2

Sep 30, 2020

0.2.1

Sep 24, 2020

0.1.35

Mar 5, 2020

0.1.34

Nov 26, 2018

0.1.33

Jul 20, 2018

0.1.31

Aug 2, 2017

This version

0.1.30

May 15, 2017

0.1.29

Sep 29, 2016

0.1.28

Aug 12, 2016

0.1.27

Aug 6, 2016

0.1.26

Jul 28, 2016

0.1.25

Jul 5, 2016

0.1.24

Jun 30, 2016

0.1.23

May 9, 2016

0.1.22

Apr 28, 2016

0.1.21.post0

Apr 21, 2016

0.1.21

Apr 21, 2016

0.1.20

Mar 14, 2016

0.1.19

Mar 14, 2016

0.1.18

Mar 11, 2016

0.1.17

Sep 23, 2015

0.1.16

Sep 17, 2015

0.1.15

Sep 16, 2015

0.1.14

Sep 14, 2015

0.1.13

Sep 14, 2015

0.1.10

Sep 2, 2015

0.1.9

Sep 1, 2015

0.1.8

Sep 1, 2015

0.1.7

Aug 17, 2015

0.1.6

Aug 13, 2015

0.1.4

Aug 12, 2015

0.1.3

Aug 11, 2015

0.1.2

Aug 11, 2015

0.1

Aug 10, 2015

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Uploaded May 15, 2017 Source

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