Skip to content

classicvalues/matplotlib

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

PyPi Downloads NUMFocus

DiscourseBadge Gitter GitHubIssues GitTutorial

GitHubActions AzurePipelines AppVeyor Codecov LGTM

Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python.

Check out our home page for more information.

https://matplotlib.org/_static/readme_preview.png

Matplotlib produces publication-quality figures in a variety of hardcopy formats and interactive environments across platforms. Matplotlib can be used in Python scripts, Python/IPython shells, web application servers, and various graphical user interface toolkits.

Install

For installation instructions and requirements, see the install documentation or installing.rst in the source.

Contribute

You've discovered a bug or something else you want to change - excellent!

You've worked out a way to fix it – even better!

You want to tell us about it – best of all!

Start at the contributing guide!

Contact

Discourse is the discussion forum for general questions and discussions and our recommended starting point.

Our active mailing lists (which are mirrored on Discourse) are:

Gitter is for coordinating development and asking questions directly related to contributing to matplotlib.

Citing Matplotlib

If Matplotlib contributes to a project that leads to publication, please acknowledge this by citing Matplotlib.

A ready-made citation entry is available.

Research notice

Please note that this repository is participating in a study into sustainability of open source projects. Data will be gathered about this repository for approximately the next 12 months, starting from June 2021.

Data collected will include number of contributors, number of PRs, time taken to close/merge these PRs, and issues closed.

For more information, please visit the informational page or download the participant information sheet.

About

matplotlib: plotting with Python

Resources

Code of conduct

Security policy

Stars

Watchers

Forks

Packages

No packages published

Languages

  • Python 89.5%
  • C++ 7.7%
  • Jupyter Notebook 1.2%
  • Objective-C 0.8%
  • JavaScript 0.4%
  • C 0.2%
  • Other 0.2%