From meccloh.steve at gmail.com Tue Oct 27 04:08:36 2015 From: meccloh.steve at gmail.com (Phillip95) Date: Tue, 27 Oct 2015 01:08:36 -0700 (MST) Subject: [Matplotlib-announce] ANN: EuroSciPy 2008 Conference - Leipzig, Germany In-Reply-To: <1FA8105E-095B-4610-ABE8-57EE9D711AE4@enthought.com> References: <1FA8105E-095B-4610-ABE8-57EE9D711AE4@enthought.com> Message-ID: <1445933316345-46349.post@n5.nabble.com> Thanks a ton for the conference details. I missed this conference as it was on my birthday and I was quite busy that day. I threw a blasting party for my friends and family at the best rooftop bar nyc venue. -- View this message in context: http://matplotlib.1069221.n5.nabble.com/ANN-EuroSciPy-2008-Conference-Leipzig-Germany-tp38438p46349.html Sent from the matplotlib - announce mailing list archive at Nabble.com. From tcaswell at gmail.com Thu Oct 29 23:44:40 2015 From: tcaswell at gmail.com (Thomas Caswell) Date: Fri, 30 Oct 2015 03:44:40 +0000 Subject: [Matplotlib-announce] [announce] matplotlib 1.5.0 released Message-ID: Hey all, We are pleased to finally announce the release of matplotlib 1.5.0! It has been over a year since the last feature release and we have had over 230 people contribute to this cycle. This release of matplotlib has several major new features including - Auto-redraw using the object-oriented API in interactive mode. - Most plotting functions now support labeled data API [Jan Schulz]. - Color cycling has extended to all style properties [Ben Root]. - Four new perceptually uniform color maps, including the soon-to-be default 'viridis'. [Stefan van der Walt and Nathaniel Smith]. - More included style sheets. - Many small plotting improvements. - Proposed new framework for managing the GUI toolbar and tools. - Pixel-value on mouse over for imshow [Steven Silvester] For demos of some of these features in action see this notebook: https://gist.github.com/tacaswell/72b0d579aeb54d4fbf87 which is version of the talk I presented at scipy, pydata Seattle and pygotham this summer. There will be more in-depth demos of the new features coming. This release has a new required dependency, cycler , for composing complex style cycles. In 1.5.0 we have dropped official support for python 2.6 and 3.3. The next matplotlib release will be the 2.0 default-style-only release, planned for 1-2 months from now. Tom -------------- next part -------------- An HTML attachment was scrubbed... URL: