Library for getting your data into HEPData
pip install hepdata_lib
For using hepdata_lib
, you don't even need to install it, but can use the binder or SWAN (CERN-only) services using one of the buttons below and following the instructions in the notebook with name Getting_started:
You can also use the docker image:
docker run --rm -it -p 8888:8888 clelange/hepdata_lib
And then point your browser to http://localhost:8888 and use the token that is printed out.
There are a few more examples available that can directly be run using the binder links below or using SWAN (CERN-only, please use LCG release LCG_94 or later) and selecting the corresponding notebook manually:
- Reading in text files
- Reading in a CMS combine ntuple
- Reading in ROOT histograms
- Reading a correlation matrix
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.