Matplotlib — Visualization with Python (original) (raw)

Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python. Matplotlib makes easy things easy and hard things possible.

• Createpublication quality plots.

• Makeinteractive figures that can zoom, pan, update.

• Customizevisual style andlayout.

• Export tomany file formats.

• Embed inJupyterLab and Graphical User Interfaces.

• Use a rich array ofthird-party packages built on Matplotlib. Try Matplotlib (on Binder)

• Getting Started

• Examples

• Reference

• Cheat Sheets

• Documentation

News#

Resources#

Be sure to check theUsers guide and theAPI docs. The full textsearch is a good way to discover the docs including the many examples.

Meet us at our monthly call for new contributors to the Matplotlib project. Subscribe to ourcommunity calendar at Scientific Python to get access to all our community meetings.

Short questions related to contributing to Matplotlib may be posted on thegitter channel.

Domain Specific Tools#

A large number of third party packages extend and build on Matplotlib functionality, including several higher-level plotting interfaces (seaborn, HoloViews, ggplot, ...), and a projection and mapping toolkit (Cartopy).

More Domain-Specific Tools

seaborn

seaborn is a high level interface for drawing statistical graphics with Matplotlib. It aims to make visualization a central part of exploring and understanding complex datasets.

statistical data visualization

Support Matplotlib#

• Contribute

Matplotlib is a community project maintained for and by its users
You can help by answering questionson discourse, reporting a bug or requesting a featureon GitHub, or improving thedocumentation and code!
Join us on Discourse Join us on GitHub

• Cite

Matplotlib is the result of development efforts by John Hunter (1968–2012) and the project'smany contributors.
If Matplotlib contributes to a project that leads to a scientific publication, please acknowledge this work by citing the project!
Ready made citation

• Donate

If you would like to support Matplotlib financially you can donate by sponsoring Matplotlib on GitHub or making a (USA) tax-deductible donation through NumFOCUS.
Sponsor on GitHub Donate to Matplotlib