lars
5109b6505c
Convert both pyproject.toml files to the uv_build backend and turn the repo into a proper uv workspace (plotstyle moved to src layout, since uv_build requires the module in its own subdirectory). Dev tooling moves from an optional-dependencies extra to a dependency-group, and plotstyle's matplotlib dependency is now its own rather than a gallery "plotting" extra. Gitea Actions workflows and the Dockerfile now use astral-sh/setup-uv, uv sync, uv run, uv build, and uv publish throughout instead of pip, build, and twine. Also fixes .dockerignore, which was excluding uv.lock, deploy/, and README.md and would have broken even the previous Dockerfile's COPY of deploy/entrypoint.sh. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
1.5 KiB
plotstyle
A KIT (Karlsruhe Institute of Technology) corporate-design matplotlib styling toolkit — a validated color palette, consistent spines/ticks/ gridlines, LaTeX text in a modern sans font, and a few building-block functions (figure titles with a parameters subtitle, a same-size colorbar helper, an outside-axes legend, panel labels) for producing figures that look consistent across a thesis and a slide deck.
Requires a local LaTeX toolchain (latex + dvipng) — plotstyle always
renders text through real LaTeX, there's no fallback.
import numpy as np
import plotstyle as ps
ps.use() # once, before creating any figure
fig, ax = ps.new_figure(
"thesis-single",
title="Measured signal",
params={"N": 512, "seed": 42},
)
x = np.linspace(0, 10, 200)
ax.plot(x, np.sin(x), label="signal")
ax.set_xlabel("Time (s)")
ax.set_ylabel(r"Amplitude $A(t)$")
ps.style_legend(ax, title="Series")
ps.savefig(fig, "plots/measured_signal", formats=("pdf",))
This package is developed as part of the
ETPlot monorepo, where it is paired
with gallery, a static HTML gallery generator that turns directories of
plot PDFs into a browsable website — plotstyle has no code dependency on
gallery, the two only meet on disk via the PDF (and optional
metadata.yaml) files a plotstyle script writes out. See that repo's
examples/plotstyle_showcase.ipynb for a fully rendered tour of every
function, and plotstyle/CLAUDE.md for the full API reference.