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JarvisPLOT: YAML-driven plotting engine

Project description

JarvisPLOT

JarvisPLOT is a lightweight, Python/Matplotlib-based plotting framework developed for Jarvis-HEP,
but it can also be used as a standalone scientific plotting tool.

It provides a simple command-line interface (CLI) to generate publication-quality figures from YAML configuration files, with most layout and style decisions handled by predefined profiles and style cards.


Installation

pip install jarvisplot

Command-Line Usage

Display help information:

jplot -h

Run JarvisPLOT with one or more YAML configuration files:

jplot path/to/config.yaml

Example: SUSYRun2 Ternary Plots

jplot ./bin/SUSYRun2_EWMSSM.yaml
jplot ./bin/SUSYRun2_GEWMSSM.yaml

Note: The data file paths inside the YAML files must be updated to match your local setup.


Notes

  • Figures are saved automatically to the output paths defined in the YAML configuration.
  • Common output formats include PNG and PDF (backend-dependent).
  • JarvisPLOT works in headless environments (SSH, batch jobs) without any GUI backend.

Requirements

Python

  • Python ≥ 3.10 (tested on 3.10–3.13)

Required Packages

  • numpy
  • pandas
  • matplotlib
  • pyyaml
  • jsonschema
  • scipy — numerical utilities
  • h5py — required for loading HDF5 data files
  • shapely
  • scipy
  • sympy

Github Page

https://github.com/Pengxuan-Zhu-Phys/Jarvis-PLOT

Documentation

https://pengxuan-zhu-phys.github.io/Jarvis-Docs/


License

MIT License

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