Quickstart

A journal preset, one recipe figure, its check and its export:

import numpy as np
import eofigs

eofigs.set_style("elsevier")  # fonts, sizes and widths of the journal
rng = np.random.default_rng(1)
field = rng.gamma(5, 30, 300)  # observed aboveground biomass (Mg ha⁻¹)
model = 0.9 * field + rng.normal(10, 20, 300)  # predicted
fig = eofigs.accuracy_scatter(field, model, variable="agb")
print(fig.eofigs_layout["caption"])  # a ready caption sentence
print(eofigs.check_figure(fig))  # size, dpi, smallest font, fonts, colour-blind safety
eofigs.save_figure(fig, "fig_agb")  # vector PDF and a 600 dpi raster

The figure is single-column width (90 mm for Elsevier), its axis labels and units come from the variable library ("agb"), and the statistics box, fitted line and caption follow the conventions described in Accuracy scatters.

Your own figures

Recipes cover common analyses; for anything else, draw with matplotlib in a figure of the printed size and let eofigs handle panels, ticks and export:

eofigs.set_style("mdpi")
fig, axes = eofigs.new_figure("double", ncols=2, height_mm=70)
axes[0].plot(years, ndvi, color=eofigs.palettes.okabe_ito[4])
axes[1].bar(classes, area, color=eofigs.palettes.muted[:4])
eofigs.label_panels(axes)  # (a), (b) in the journal's style
eofigs.tidy_axes(*axes)  # a few ticks at round values
eofigs.save_figure(fig, "fig_trends")

Recipes

Recipe	Figure
study_area_map	Study area over a hillshade with an overlay, points, inset, graticule, north arrow and scale bar
trend_map	Per-pixel Theil–Sen trends with Mann–Kendall significance and an optional latitude profile
event_composite	Anomaly maps before, during and after events, with significance and a composite series
accuracy_scatter	Observed against predicted values with the 1:1 line, a fitted line and statistics

Every recipe returns a matplotlib figure, records what it computed in fig.eofigs_layout (statistics, limits, a caption sentence) and accepts ax= or subfigure= to become one panel of a larger figure. Worked examples with real data are in the Gallery.