Altair: Declarative Visualization in Python

Altair is a declarative statistical visualization library for Python, based on Vega and Vega-Lite, and the source is available on GitHub.

With Altair, you can spend more time understanding your data and its meaning. Altair’s API is simple, friendly and consistent and built on top of the powerful Vega-Lite visualization grammar. This elegant simplicity produces beautiful and effective visualizations with a minimal amount of code.

Getting Started

• Overview
• Installation
• Dependencies
• Development Install
• Basic Statistical Visualization

Gallery

• Example Gallery

User Guide

• Specifying Data in Altair
• Encodings
• Marks
• Data Transformations
• Bindings, Selections, Conditions: Making Charts Interactive
• Top-Level Chart Configuration
• Compound Charts: Layer, HConcat, VConcat, Repeat, Facet
• Scale and Guide Resolution
• Saving Altair Charts
• Customizing Visualizations
• Times and Dates in Altair
• Frequently Asked Questions
• Display Troubleshooting
• Altair Internals: Understanding the Library
• API Reference
• Altair Ecosystem

Case Studies

• Exploring Seattle Weather

Advanced Usage

• Importing Vega & Vega-Lite Versions
• Displaying Altair Charts
• Renderer API
• Customizing Renderers
• Data transformers

Release Notes

• Altair Change Log

Bug Reports & Questions

Altair is BSD-licensed and the source is available on GitHub. If any questions or issues come up as you use Altair, please get in touch via Git Issues or our Google Group.

Indices and tables

• Index

• Module Index