plotnado 0.1

A simple plotting library for making genomic tracks

PlotNado

PlotNado is a lightweight Python package for building genome browser-style figures with a modern, chainable API.

[!NOTE] This version of PlotNado is independent and does not require CoolBox.

Install

pip install plotnado

For development from source:

git clone https://github.com/alsmith151/plotnado
cd plotnado
pip install -e .[dev,docs]

# required developer setup: run local quality hooks before every commit
pip install pre-commit
pre-commit install

Developer workflow (important)

• Do not edit autogenerated typing surfaces directly:
  • plotnado/figure.pyi
  • auto-generated overload blocks in plotnado/figure.py (# BEGIN/END AUTO-GENERATED OVERLOAD)
• Make API changes in the source Pydantic models first (track models/aesthetics/labels), then regenerate artifacts:

python scripts/generate_figure_overloads.py
python scripts/generate_figure_stub.py

• Always run pre-commit before pushing:

pre-commit run --all-files

Quick Start

from plotnado import GenomicFigure
import numpy as np
import pandas as pd

bins = np.arange(1_000_000, 1_100_000, 1_000)
signal = pd.DataFrame({
    "chrom": "chr1",
    "start": bins,
    "end": bins + 1_000,
    "value": 5 + 2 * np.sin(np.linspace(0, 6, len(bins))),
})

fig = GenomicFigure()
fig.scalebar()
fig.axis()
fig.genes("hg38")
fig.bigwig(signal, title="Synthetic signal", style="fill", color="#1f77b4")
fig.save("quickstart.png", "chr1:1,010,000-1,080,000")

GenomicFigure() now uses publication-style defaults automatically. Use GenomicFigure(theme=None) to opt out.

Examples

• Start with python examples/basic_figure.py
• Then run python examples/advanced_features.py
• Full curated suite: python examples/run_examples.py
• Additional focused examples live in:
  • examples/quickstart/
  • examples/tracks/
  • examples/recipes/

All scripts write outputs to examples/output/.

Key Features

• Chainable GenomicFigure API for fast composition.
• Alias-based track creation (fig.add_track("bigwig", ...)).
• Track option introspection at runtime.
• Built-in themes, autocolor, autoscale, and highlight overlays.
• Broad track support: BigWig, BED, narrowPeak, genes, axis, scalebar, links, OverlayTrack, cooler-based matrix tracks.

Discover Track Options

from plotnado import GenomicFigure, BigWigTrack

GenomicFigure.available_track_aliases()
GenomicFigure.track_options("bigwig")
GenomicFigure.track_options_markdown("bigwig")
BigWigTrack.options_markdown()

Documentation

• Docs home: docs/index.md
• Quick start: docs/quickstart.md
• Track catalog + options: docs/track_catalog.md
• API and generated references: docs/api_reference.md

Build docs locally:

pip install -e .[docs]
mkdocs build --strict
mkdocs serve

CLI

plotnado plot chr1:1,000,000-1,100,000 -o browser_view.png
plotnado track-options bigwig
plotnado track-options --all --output-format json