Releases: vdesmond/attractors
Releases · vdesmond/attractors
attractors v1.4.1
Announcements
- Python 3.7 patch
Changes
- Python 3.7 is now compatible (tested)
attractors v1.4.0
Announcements
- Minor release introducing documentation and added features
Changes
- Added 3 new attractors: Newton-Leipnik, Rucklidge and Shimizu-Morioka (Thanks @Sarath-24)
index
is now a kwarg forplot
methods- Added docstrings
- Added type hints
- Set-up documentation with Sphinx-Napolean (Google Style) and ReadTheDocs
- Renamed attractors: Aizawa -> Langford, Chen Celikovsky -> Chen LU, Thomas Cyclically Symmetric -> Thomas
- Added tests for video generation with FFMPEG and colormaps
attractors v1.3.0
Announcements
- Minor release with breaking changes (not backwards compatible)
Changes
- DES methods now return a generator instead of an
Attractor
instance - X, Y, Z attributes of the
Attractor
are now single-valued floats instead of lists - Modified plotting and animation methods to support generators
- Removed slice method
- (Dev) Coverage tests
attractors v1.2.0
Announcements
- Minor version bump adding 2 new attractors
Changes
- Added 2 new attractors : Dequan Li and Yu Wang
- Removed legacy animate functions
animate_gradient()
andanimate_sim()
- Added kwargs to control gradient axis, elevation and azimuth rate.
- Added line and point kwargs to pass to matplotlib
- Tweaked default params for multiple attractors
- Minor bugfixes
attractors v1.1.1
Announcements
- Patch 1.1.1 for parser rewrite
Changes
- parser rewrite based on Attractor class
- parametrized testing (pytest)
attractors v1.1.0
Announcements
- Update of attractors package with various new features and bugfixes
Changes
- Completely overhauled attractor class for modularity
- Pooling update_func() for figure with pathos
- New methods for setting various params independently
- Included plotting methods
- Bugfixes and minor QoL changes
attractors v1.0.0
Announcements
- First major release of attractors package
Changes
- Rewrite of animate functions
- New attractor module
- Live gradient plotting