shabviz-style

Personal style spec for scientific figures in matplotlib/seaborn (Python) and ggplot2 (R). Built around viridis-family colormaps and the Inter font. The two implementations share design decisions so figures look consistent across languages.

Python

pip install "git+https://github.com/shabtastic/shabviz-style.git#subdirectory=python"

import shabviz_style as sv
sv.setup()                                   # default: viridis + Inter

# Palette helpers
sv.palette(3)                                # unordered categorical
sv.palette(3, ordered=True)                  # ordinal: low / mid / high
sv.binary_palette()                          # high-contrast pair
sv.palette(4, cmap='mako')                   # cousin colormap

See python/README.md for full Python docs (if separated).

R

remotes::install_github("shabtastic/shabviz-style", subdir = "r")

library(shabvizstyle)
setup()

palette_sv(3)
palette_sv(3, ordered = TRUE)
binary_palette()
palette_sv(4, cmap = "mako")

See r/README.md for full R docs.

Defaults

Both versions use:

• Colormap: viridis (with mako, rocket, crest, flare, cividis as alternates)
• Font: Inter (with system sans-serif fallback)
• Binary pair: viridis(0.05) and viridis(0.92) — #471365 and #cae11f
• Math: stixsans (Python only; R uses ggplot2's expression handling)