graphs
Economist-style chart theme for matplotlib and seaborn — global theme, title-stack finaliser with renderer-measured wrapping, on-grid axis labels, direct line labels, CI bands, and a catalogue of chart helpers (bars, dumbbells, thermometers, bump charts, lollipops). IBM Plex Sans typography and a curated palette.
Install
pip install djrhails-graphs
PyPI distribution is djrhails-graphs because the bare name graphs is taken.
The import package is graphs.
Quick start
import matplotlib.pyplot as plt
import numpy as np
from graphs import finalize, label_lines, save_chart, set_theme, subplots
set_theme()
x = np.arange(12)
fig, ax = subplots("wide")
ax.plot(x, 40 + 2.1 * x, label="Series A")
ax.plot(x, 58 - 1.3 * x, label="Series B")
label_lines(ax)
finalize(
ax,
title="State the finding, not the topic",
descriptor="Country, metric, unit",
source="Source: Organisation",
)
save_chart(__file__)
finalize() does the heavy lifting: auto-sized margins, title stack with the
delta marker (titles auto-wrap to the figure width), numeric y labels seated
on gridlines that extend under them, source line, right-hand y-axis.
SKILL.md is the full manual — design principles, headline
conventions, the complete API table, and a when-to-use index of 39 worked
examples in examples/.
Palette
from graphs import PALETTE, colors, C_RED, C_RED_BRAND, C_SPINE, C_GRID, C_LABEL
Nine named colours in PALETTE (red-led default cycle); structural greys for
spines/grid/labels/source; cycle_for(chart_type) for per-chart-type orders.
Typography
IBM Plex Sans (headlines) and IBM Plex Sans Condensed (everything else) are
loaded automatically. If already registered in matplotlib's font manager, no
download occurs. Otherwise TTFs are fetched from github.com/IBM/plex on
first use and cached inside the installed package.
Fallback chain: IBM Plex Sans Condensed → IBM Plex Sans → Verdana → Arial → DejaVu Sans.
Development
Hot reload during chart iteration:
uv run graphs-watch
Watches graphs/ and examples/ for .py changes and re-renders the
affected examples + the comparison strip in parallel. The watcher routes
by path:
graphs/**/*.pyorexamples/_data.py→ regen all examples + comparisonsexamples/build_comparisons.py→ comparisons onlyexamples/<name>.py→ that one example + comparisons
Comparison harness
examples/build_comparisons.py composes side-by-side images for visual
review:
url-kind entries download a Medium-hosted PNG and stack it above our replica (used for the "Mistakes, we've drawn a few" redesigns).local_ref-kind entries use a local reference image (e.g. the styleguide page for the thermometer chart).
Generated comparisons land in examples/comparisons/<name>.png (gitignored —
the reference images aren't ours to redistribute).
examples/fetch_refs.py populates examples/comparisons/_originals/ for the
daily-chart replicas: it downloads the Economist "2019 daily charts" grid and
cuts it into per-chart reference cells (rows are located via the red Economist
tag that tops every chart — blank-gap heuristics misfire on detached
titles/footnotes).
CSVs fetched at runtime by example scripts are cached under
examples/.data/ via examples/_data.py::load_csv_text(url).
License
MIT. See LICENSE.
1 maintainer
Metadata
1 maintainer
Release files for djrhails-graphs 0.15.0
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