multipanel

# multipanel ## Overview A multi-panel figure is **one** figure, built one of two ways depending on what you have: - **Option 1 — redraw every panel** (you have the data or plotting code): draw each data panel with a python script into its **own `subfigure`** so it packs to its own labels — no empty bands, and axes need NOT align across the grid. Follow the discipline below so legends stay inside their panels, panel letters sit at each panel's own top-left, and text never overlaps. - **Option 2 — composite finished images** (you only have rendered PNG/PDF panels): paste them onto a `plt.subplot_mosaic` canvas — fine here, since images carry no tick labels to misalign — add panel letters, and export. A mix is allowed: if one or two panels are image-only (no data/code), `imshow` them onto their own subfigure axes and redraw the rest into the same figure. Both modes export a vector PDF and a high-DPI PNG. **Always export the individual panels AND the composite.** Every run outputs both: one standalone figure per panel (`figure1A.png`, `figure1B.png`, …) and the combined figure (`combined_figure1.pdf` + `.png`) — not just the composite. Because a matplotlib `subfigure` cannot be saved on its own, factor every data panel's plotting body into a `draw_<letter>(ax)` function (option 1); the same function then draws onto the composite's subfigure axis AND onto a fresh standalone figure, so the panels stay identical across both outputs with no duplicated drawing code. ...