# 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.

```python
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](https://git.larsbogner.de/lars/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.