journalfig

journalfig is an open-source matplotlib theme package for Nature, APS (PRB/PRL), Elsevier (Acta Materialia, JNCS), IOP, AIP, ACS, RSC, IEEE, PLOS, Wiley, PNAS, and Science. Import once, then retarget a figure to a different journal by changing one string. Every number in the themes is traceable to a publisher document, with the six derived values marked as such.

Role: Sole developer and maintainer

Install: pip install journalfig
GitHub: github.com/Atilaac/journalfig
Documentation: aatila.com/journalfig

Key Features

• Twelve publisher themes — column widths, fonts, base sizes, panel-label style and raster dpi taken from each publisher’s own author guide
• Exact figure sizes — jf.subplots / jf.figure pin the requested width in millimetres, bypassing the backend rounding and bbox="tight" cropping that quietly break it
• Compliance checking — jf.check(fig) reports font substitutions, text below the publisher minimum, thin lines and un-rasterized vector artists before submission
• Multi-panel layouts — jf.mosaic and jf.gridspec for panels of unequal size, with jf.panel_labels lettering them in reading order
• One call to save — jf.save writes PDF + SVG + PNG (TIFF and EPS on request) and warns when nothing written is a format the publisher accepts as final artwork
• Accessible colours — Okabe–Ito palette paired with line styles, identical across themes, so retargeting never changes colours and figures survive greyscale printing

Quick Start

import journalfig as jf

jf.use("elsevier")                                   # or "nature", "aps", "PRB", "Acta Materialia"
fig, ax = jf.subplots("elsevier", width="single")    # exact 90 mm, no figsize boilerplate
ax.plot(q, sq, label=r"$S(q)$")
ax.set_xlabel(r"$q$ (Å$^{-1}$)")
ax.legend()
jf.save(fig, "fig_structure_factor")                 # writes .pdf + .svg + .png