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hannah edited this page Jul 13, 2023 · 54 revisions
Our meeting schedule can be viewed at https://scientific-python.org/calendars
Download/import: .ics
MEPs are used to track the progress of larger changes to matplotlib that are not easily encapsulated into a single pull request.
New MEPs should be created as PRs into the documentation.
- DiscussionMEP8: Improve PEP8 compliance.
- DiscussionMEP9: Add a global manager for all user interactivity with artists; make any artist resizeable, moveable, highlightable, and selectable as desired by the user.
- Progress 1.3 MEP10: Modernize documentation.
- Completed 1.3 MEP11: Improve third-party dependency resolution.
- Progress 1.3 MEP12: Reorganize example gallery and clean up examples.
- DiscussionMEP13: Use python properties
- DiscussionMEP14: Improve text handling
- DiscussionMEP15: Fix axis autoscaling when limits are specified for one axis only
- ProposedMEP16: Constraint-based layout (continuation of #1109)
- ProposedMEP17: Interactive tweaking of plots
- ProposedMEP18: Plottable object interface
- ProposedMEP19: Improve continuous integration, nightly builds of code and docs
- ProposedMEP20: Interactive gallery/examples
- ProposedMEP21: Overhaul color handling
- ProgressMep22: Separation of user interaction from Canvas and Toolbar
- DiscussionMEP23: Group several figures under the same FigureManager
- DiscussionMEP24: Negative values in polar plots
- DiscussionMEP25: Data Controller layer
- DiscussionMEP26: Artist Style Sheet
- ProgressMEP27: Backend Refactor (Gcf)
- DiscussionMEP28: Don't force alpha
- DiscussionMEP30: Grid population strategies
- DiscussionMEP31: Dimension unit handling
- Pre-conference notes SciPy 2013 June 28-29, 2013
- SciPy 2013 BOF Notes
- SciPy 2013 Sprinting notes
- MEP19 Continuous Integration hangout August 15, 2013
- Hangout 2013-10-24
- Primary Project website: http://matplotlib.org/
- landing page managed at https://github.com/matplotlib/mpl-brochure-site
- sphinx theme managed at https://github.com/matplotlib/mpl-sphinx-theme
- third party page managed at https://github.com/matplotlib/mpl-third-party