Skip to main content

Python bindings to generate Gosling visualizations

Project description

gos 🦆

License PyPI Python Version tests Binder Open In Colab

gos is a declarative genomics visualization library for Python. It is built on top of the Gosling JSON specification, providing a simplified interface for authoring interactive genomic visualizations.

Installation

The gos API is under active development. Feedback is appreciated and welcomed.

pip install gosling[all]

Documentation

See the Documentation Site for more information.

Example

Gosling visualization
import gosling as gos

data = gos.multivec(
    url="https://server.gosling-lang.org/api/v1/tileset_info/?d=cistrome-multivec",
    row="sample",
    column="position",
    value="peak",
    categories=["sample 1", "sample 2", "sample 3", "sample 4"],
    binSize=5,
)

base_track = gos.Track(data, width=800, height=100)

heatmap = base_track.mark_rect().encode(
    x=gos.X("start:G", axis="top"),
    xe="end:G",
    row=gos.Row("sample:N", legend=True),
    color=gos.Color("peak:Q", legend=True),
)

bars = base_track.mark_bar().encode(
    x=gos.X("position:G", axis="top"),
    y="peak:Q",
    row="sample:N",
    color=gos.Color("sample:N", legend=True),
)

lines = base_track.mark_line().encode(
    x=gos.X("position:G", axis="top"),
    y="peak:Q",
    row="sample:N",
    color=gos.Color("sample:N", legend=True),
)

gos.vertical(heatmap, bars, lines).properties(
    title="Visual Encoding",
    subtitle="Gosling provides diverse visual encoding methods",
    layout="linear",
    centerRadius=0.8,
    xDomain=gos.GenomicDomain(chromosome="1", interval=[1, 3000500]),
)

Example Gallery

We have started a gallery of community examples in gosling/examples/. If you are interested in contributing, please feel free to submit a PR! Checkout the existing JSON examples if you are looking for inspiration.

Development

pip install -e '.[dev]'

The schema bindings (gosling/schema/) and docs (doc/user_guide/API.rst) are automatically generated using the following. Please do not edit these files directly.

# generate gosling/schema/*
python tools/generate_schema_wrapper.py

Release

git checkout main && git pull
git commit -m "v0.[minor].[patch]"
git tag -a v0.[minor].[patch] -m "v0.[minor].[patch]"
git push --follow-tags

Design & Implementation

gos is inspired by and borrows heavily from Altair both in project philosophy and implementation. The internal Python API is auto-generated from the Gosling specification using code adapted directly from Altair to generate Vega-Lite bindings. This design choice guarantees that visualizations are type-checked in complete concordance with the Gosling specification, and that the Python API remains consistent with the evolving schema over time. Special thanks to Jake Vanderplas and others on schemapi.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

gosling-0.0.13.tar.gz (66.0 kB view details)

Uploaded Source

Built Distribution

gosling-0.0.13-py2.py3-none-any.whl (83.4 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file gosling-0.0.13.tar.gz.

File metadata

  • Download URL: gosling-0.0.13.tar.gz
  • Upload date:
  • Size: 66.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.3

File hashes

Hashes for gosling-0.0.13.tar.gz
Algorithm Hash digest
SHA256 bd76c3d85ef9b4f44258d2ac1a5ae21e49d2aef98aa31e53d7c9e9ccdb75c4c5
MD5 0a34c9623707ab61e24b4fde7a578f6d
BLAKE2b-256 b1730df88ac692ead513a0b22755a874560ada64fd4875c23d4a412d813ffcb9

See more details on using hashes here.

Provenance

File details

Details for the file gosling-0.0.13-py2.py3-none-any.whl.

File metadata

  • Download URL: gosling-0.0.13-py2.py3-none-any.whl
  • Upload date:
  • Size: 83.4 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.3

File hashes

Hashes for gosling-0.0.13-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 9082eecabf1ab1a70a12102fef2d4957c3f84b695fc42e148cb76079bbb6bc49
MD5 93e03e182e39f63e446a6c37aa078a0e
BLAKE2b-256 ccd4776172467000239bdcda002353c61de2e72df1cfbffee4571369064dbe4d

See more details on using hashes here.

Provenance

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page