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>
41 lines
1.5 KiB
Markdown
41 lines
1.5 KiB
Markdown
# plotstyle
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A KIT (Karlsruhe Institute of Technology) corporate-design matplotlib
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styling toolkit — a validated color palette, consistent spines/ticks/
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gridlines, LaTeX text in a modern sans font, and a few building-block
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functions (figure titles with a parameters subtitle, a same-size colorbar
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helper, an outside-axes legend, panel labels) for producing figures that
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look consistent across a thesis and a slide deck.
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Requires a local LaTeX toolchain (`latex` + `dvipng`) — `plotstyle` always
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renders text through real LaTeX, there's no fallback.
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```python
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import numpy as np
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import plotstyle as ps
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ps.use() # once, before creating any figure
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fig, ax = ps.new_figure(
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"thesis-single",
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title="Measured signal",
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params={"N": 512, "seed": 42},
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)
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x = np.linspace(0, 10, 200)
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ax.plot(x, np.sin(x), label="signal")
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ax.set_xlabel("Time (s)")
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ax.set_ylabel(r"Amplitude $A(t)$")
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ps.style_legend(ax, title="Series")
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ps.savefig(fig, "plots/measured_signal", formats=("pdf",))
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```
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This package is developed as part of the
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[ETPlot](https://git.larsbogner.de/lars/ETPlot) monorepo, where it is paired
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with `gallery`, a static HTML gallery generator that turns directories of
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plot PDFs into a browsable website — `plotstyle` has no code dependency on
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`gallery`, the two only meet on disk via the PDF (and optional
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`metadata.yaml`) files a `plotstyle` script writes out. See that repo's
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`examples/plotstyle_showcase.ipynb` for a fully rendered tour of every
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function, and `plotstyle/CLAUDE.md` for the full API reference.
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