Metadata-Version: 2.1
Name: uhepp
Version: 0.1.6
Summary: Universal HEP plots
Home-page: https://gitlab.cern.ch/fsauerbu/uhepp
Author: Frank Sauerburger
Author-email: f.sauerburger@cern.ch
License: MIT
Description: # Universal HEP plot
        
        [![Pipeline](https://gitlab.cern.ch/fsauerbu/uhepp/badges/master/pipeline.svg)](https://gitlab.cern.ch/fsauerbu/uhepp/-/pipelines)
        [![Coverage](https://gitlab.cern.ch/fsauerbu/uhepp/badges/master/coverage.svg)](https://gitlab.cern.ch/fsauebu/uhepp)
        [![Lint](https://gitlab.cern.ch/fsauerbu/uhepp/-/jobs/artifacts/master/raw/pylint.svg?job=pylint)](https://gitlab.cern.ch/fsauerbu/uhepp)
        [![License](https://gitlab.cern.ch/fsauerbu/uhepp/-/jobs/artifacts/master/raw/license.svg?job=badges)](https://gitlab.cern.ch/fsauerbu/uhepp/-/blob/master/LICENSE)
        [![PyPI](https://gitlab.cern.ch/fsauerbu/uhepp/-/jobs/artifacts/master/raw/pypi.svg?job=pypi)](https://pypi.org/project/uhepp/)
        [![Docs](https://readthedocs.org/projects/uhepp/badge/?version=latest&amp;style=flat)](https://uhepp.readthedocs.io/en/latest/)
        
        *Universal HEP plot* is a textual data format (JSON or YAML) to define plots used
        in high-energy physics contexts, especially for my PhD within the ATLAS
        Collaboration. Usually, analysis software processes a list of events (xAOD,
        ntuple, HDF5 or similar formats) and converts them into a histograms and, in
        most cases, also into plots.
        This makes it hard to change the style retroactively. Alternatively, plots
        might be saved in ROOT format (e.g. TH1F), which lose a lot of information
        on how the data should be visualized.
        
        The *universal HEP plot* format defines an interface **between** analysis software and
        plotting software. The definition of a plot in UHEP contains 
        histograms organized in stacks, their uncertainties (potentially systematic
        variations) and the plotting style (colors, line widths, labels, etc.). The
        separation of data processing and data visualization is mirrored in the file
        format. The style can be changed without rerunning the analysis. The
        universality of the interface allows for multiple analysis frameworks and
        plotting frameworks to be wired together.
        
        Typical applications include:
         - Bulk storage of plots in a database (e.g. `mongodb`) for later retrieval
           and reuse
         - Provide plots on multiple media, e.g. traditional files (png, pdf), or
           interactive web applications
         - Collaboration in an analysis team
         - Rebrand plots from "***ATLAS*** Internal" to "***ATLAS***"
        
        ## Links
        
         - Docs: [https://uhepp.readthedocs.io/](https://uhepp.readthedocs.io/)
         - PyPI: [https://pypi.org/project/uhepp/](https://pypi.org/project/uhepp/)
         - Hub: [https://uhepp.org/](https://uhepp.org)
        
Platform: UNKNOWN
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Topic :: Scientific/Engineering :: Physics
Description-Content-Type: text/markdown
