Metadata-Version: 2.1
Name: hepdata_lib
Version: 0.3.2
Summary: Library for getting your data into HEPData
Home-page: https://github.com/HEPData/hepdata_lib
Author: Andreas Albert, Clemens Lange
Author-email: hepdata-lib@cern.ch
License: UNKNOWN
Project-URL: Documentation, https://hepdata-lib.readthedocs.io
Project-URL: Bug Reports, https://github.com/HEPData/hepdata_lib/issues
Project-URL: Source, https://github.com/HEPData/hepdata_lib
Description: # hepdata_lib
        
        [![DOI](https://zenodo.org/badge/129248575.svg)](https://zenodo.org/badge/latestdoi/129248575)
        [![PyPI version](https://badge.fury.io/py/hepdata-lib.svg)](https://badge.fury.io/py/hepdata-lib)
        [![Actions Status](https://github.com/HEPData/hepdata_lib/workflows/tests/badge.svg)](https://github.com/HEPData/hepdata_lib/actions)
        [![Coverage Status](https://coveralls.io/repos/github/SirVheod/hepdata_lib/badge.svg?branch=master)](https://coveralls.io/github/SirVheod/hepdata_lib?branch=master)
        [![Documentation Status](https://readthedocs.org/projects/hepdata-lib/badge/)](http://hepdata-lib.readthedocs.io/)
        [![Docker Hub](https://images.microbadger.com/badges/image/clelange/hepdata_lib.svg)](https://hub.docker.com/r/clelange/hepdata_lib/)
        
        Library for getting your data into HEPData
        
        ## Installation
        
        ```shell
        pip install hepdata_lib
        ```
        
        ## Getting started
        
        For using `hepdata_lib`, you don't even need to install it, but can use the [binder](https://mybinder.org/) or [SWAN](https://swan.cern.ch/) (CERN-only) services using one of the buttons below and following the instructions in the notebook with name [Getting_started](examples/Getting_started.ipynb):
        
        [![Binder](https://mybinder.org/badge.svg)](https://mybinder.org/v2/gh/HEPData/hepdata_lib/master?filepath=examples/Getting_started.ipynb)
        [![SWAN](https://swanserver.web.cern.ch/swanserver/images/badge_swan_white_150.png)](https://cern.ch/swanserver/cgi-bin/go/?projurl=https://github.com/HEPData/hepdata_lib.git)
        
        You can also use the docker image:
        
        ```shell
        docker run --rm -it -p 8888:8888 clelange/hepdata_lib
        ```
        
        And then point your browser to [http://localhost:8888](http://localhost:8888) and use the token that is printed out.
        
        ## Further examples
        
        There are a few more examples available that can directly be run using the [binder](https://mybinder.org/) links below or using [SWAN](https://swan.cern.ch/) (CERN-only, please use LCG release LCG_94 or later) and selecting the corresponding notebook manually:
        
        - [Reading in text files](examples/Getting_started.ipynb) [![Binder](https://mybinder.org/badge.svg)](https://mybinder.org/v2/gh/HEPData/hepdata_lib/master?filepath=examples/Getting_started.ipynb)
        - [Reading in a CMS combine ntuple](examples/combine_limits.ipynb) [![Binder](https://mybinder.org/badge.svg)](https://mybinder.org/v2/gh/HEPData/hepdata_lib/master?filepath=examples/combine_limits.ipynb)
        - [Reading in ROOT histograms](examples/reading_histograms.ipynb) [![Binder](https://mybinder.org/badge.svg)](https://mybinder.org/v2/gh/HEPData/hepdata_lib/master?filepath=examples/reading_histograms.ipynb)
        - [Reading a correlation matrix](examples/correlation.ipynb) [![Binder](https://mybinder.org/badge.svg)](https://mybinder.org/v2/gh/HEPData/hepdata_lib/master?filepath=examples/correlation.ipynb)
        
        ## External dependencies
        
        - [ROOT](https://root.cern.ch)
        - [ImageMagick](https://www.imagemagick.org)
        
        Make sure that you have `ROOT` in your `$PYTHONPATH` and that the `convert` command is available by adding its location to your `$PATH` if needed.
        
Keywords: HEPData physics OpenData
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Description-Content-Type: text/markdown
