Designing validation plots locally

[katilp]

For setting up plotting for testing and comparing the newly processed data, you might find it convenient to design it interactively locally and then implement in the workflow. At the Nano AOD level, you should be able to use the following setup on your local laptop shell. Use a virtual environment for a well-defined setup (and for not breaking your usual working environment).

mkdir mytest
cd mytest
python3 -m venv venv
source venv/bin/activate

# for the notebook:
pip install uproot awkward numpy matplotlib jupyterlab
# to be able to read existing open data files
pip install xrootd fsspec-xrootd

Then, you should be able to start a notebook and open a comparison file existing from open data as instructed in https://cms-opendata-workshop.github.io/workshop2026-lesson-nanoaod/05-what-is-in-the-data.html
and build your comparison plots.