$ show garrettj403/SciencePlots
SciencePlots is a Python library that provides curated Matplotlib style sheets for producing publication-quality scientific figures. It bundles a comprehensive set of .mplstyle files that configure figure dimensions, font families, tick marks, color cycles, and LaTeX rendering to meet the formatting requirements of academic journals, theses, and presentations. The package includes a small registration module (`styles_discovery.py`) that automatically discovers all stylesheets in its subdirectories and integrates them into Matplotlib's style system. It also offers styles tailored for specific journals (IEEE, Nature), language support (CJK, Russian, Turkish), and colorblind-safe palettes based on Paul Tol's schemes. The codebase is minimal, well-structured, and actively maintained with robust CI testing across multiple Python and Matplotlib versions. It is not a data research repo; it is a pure software library for Matplotlib customization.
The LLM identified 1 files worth highlighting for reuse:
Provides a reusable function `read_styles_in_folders(root_path)` that walks a directory tree, reads all matplotlib style files using `plt.style.read_style_directory`, and returns a flat dictionary of style names to rcParams. It handles the matplotlib 3.11 namespace change gracefully via try/except. This component is self-contained, parameterized, and could be reused in any Python project that needs to register a custom hierarchy of matplotlib style sheets with zero modification.