Gallery

A quick visual tour. Want the code behind every figure, with its output inline? See the Showcase — it's examples/showcase.py executed end to end, with one-click Open in Colab / Binder links so you can run it yourself. Everything here is generated by docs/generate_gallery.py — no hand-tuning — and regenerated by CI on every docs build.

Before / after

The same three-curve plot, same data — stock matplotlib defaults versus one pp.use("aps"). paperplot fixes the column width, type scale, color cycle, tick style, and line weights in a single call.

A full results figure

One GridSpec, four panel letters: (a) $T_1$ relaxation and (b) Ramsey fringes — each a data_fit_band fit with a flush residual strip sharing its x-axis — plus (c) outlined $T_1$ distributions and (d) a chevron map. The journal styling, fonts, and line weights carry through a hand-built grid.

Figures

• APS, single column (8.6 cm)

  

• APS, 4-panel single column

  

• Nature, double column (183 mm)

  

• Overlapping outlined histograms

  

• Data + fit + confidence band

  

• Okabe-Ito, custom palette, sequential cmap

  

Math typography

The LaTeX look (Computer Modern) is the default over sans-serif labels — no LaTeX install required. math="sans" pairs sans math with Arial/Helvetica labels.

On the page

This is the part most styling packages don't do. preview_in_page() drops your figure into a true-to-scale mock journal page with real justified body text, so before you ever submit you can see exactly how large it lands in the column and whether the lettering still reads at that size. Same figures as above — now in context.

• APS single column — in page

  

• Overlapping histograms — in page

  

• Data + fit + band — in page

  

• Double column across both columns — in page

  

Proofing

grayscale_proof() checks print legibility for the APS H24 (grayscale) reality — print is still often black-and-white, and colors that look distinct on screen can collapse to the same gray.