https://github.com/sunpy/mpl-animators
Interactive animations with matplotlib
https://github.com/sunpy/mpl-animators
Last synced: 18 days ago
JSON representation
Interactive animations with matplotlib
- Host: GitHub
- URL: https://github.com/sunpy/mpl-animators
- Owner: sunpy
- License: bsd-3-clause
- Created: 2021-10-20T14:52:51.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2025-05-05T15:39:17.000Z (20 days ago)
- Last Synced: 2025-05-07T08:57:21.701Z (18 days ago)
- Language: Python
- Homepage: https://docs.sunpy.org/projects/mpl-animators/
- Size: 483 KB
- Stars: 5
- Watchers: 5
- Forks: 7
- Open Issues: 10
-
Metadata Files:
- Readme: README.rst
- Changelog: CHANGELOG.rst
- License: LICENSE.rst
Awesome Lists containing this project
README
An interactive animation framework for matplotlib
=================================================
This is for creating interactive animations with matplotlib.
It is designed to handle N-dimensional data, and can be used to create animations.
This package has been spun out of ``sunpy`` to be more generally useful.
Testing and CI Notes
--------------------
Because this repo is heavily dependent on figure tests, most of the CI jobs
(other than publish, and one windows and one macos build) run on Circle CI,
there are no test runs on GH Actions. The `-figure` test tox jobs run all tests,
figure and non-figure.
Usage of Generative AI
----------------------
We expect authentic engagement in our community.
Be wary of posting output from Large Language Models or similar generative AI as comments on GitHub or any other platform, as such comments tend to be formulaic and low quality content.
If you use generative AI tools as an aid in developing code or documentation changes, ensure that you fully understand the proposed changes and can explain why they are the correct approach and an improvement to the current state.
License
-------
This project is Copyright (c) The SunPy Developers and licensed under
the terms of the BSD 3-Clause license. This package is based upon
the `Openastronomy packaging guide `_
which is licensed under the BSD 3-clause licence. See the licenses folder for
more information.
Contributing
------------
We love contributions! mpl-animators is open source,
built on open source, and we'd love to have you hang out in our community.
**Imposter syndrome disclaimer**: We want your help. No, really.
There may be a little voice inside your head that is telling you that you're not
ready to be an open source contributor; that your skills aren't nearly good
enough to contribute. What could you possibly offer a project like this one?
We assure you - the little voice in your head is wrong. If you can write code at
all, you can contribute code to open source. Contributing to open source
projects is a fantastic way to advance one's coding skills. Writing perfect code
isn't the measure of a good developer (that would disqualify all of us!); it's
trying to create something, making mistakes, and learning from those
mistakes. That's how we all improve, and we are happy to help others learn.
Being an open source contributor doesn't just mean writing code, either. You can
help out by writing documentation, tests, or even giving feedback about the
project (and yes - that includes giving feedback about the contribution
process). Some of these contributions may be the most valuable to the project as
a whole, because you're coming to the project with fresh eyes, so you can see
the errors and assumptions that seasoned contributors have glossed over.
Note: This disclaimer was originally written by
`Adrienne Lowe `_ for a
`PyCon talk `_, and was adapted by
mpl-animators based on its use in the README file for the
`MetPy project `_.