Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python.
Check out our home page for more information.
Matplotlib produces publication-quality figures in a variety of hardcopy formats and interactive environments across platforms. Matplotlib can be used in Python scripts, the Python and IPython shell, web application servers, and various graphical user interface toolkits.
For installation instructions and requirements, see INSTALL.rst or the install documentation.
After installation, launch the test suite:
python -m pytest
Read the testing guide for more information and alternatives.
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!
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:
- Users mailing list: [email protected]
- Announcement mailing list: [email protected]
- Development mailing list: [email protected]
Gitter is for coordinating development and asking questions directly related to contributing to matplotlib.
If Matplotlib contributes to a project that leads to publication, please acknowledge this by citing Matplotlib.
A ready-made citation entry is available.
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.