Folks,
We tagged the first beta for v2.0.0 tonight. Please check out the new
defaults!
This is tagged as a beta because we anticipate a longer than normal release
cycle. The style changes are substantial and we want to make sure that we
have not crippled any common use cases. The target for the final release
around scipy.
A build of the docs is available at http://matplotlib.org/2.0.0b1
Preview conda packages are available via
conda install -c conda-forge/label/rc -c conda-forge matplotlib
pre-release packages should be on pypi tomorrow.
Brief release notes:
This previews the new default style and many bug-fixes. A full list of
the style changes will be collected for the final release.
In addition to the style change this release includes:
- overhaul of font handling/text rendering to be faster and clearer
- many new rcParams
- Agg based OSX backend
- optionally deterministic SVGs
- complete re-write of image handling code
- simplified color conversion
- specify colors in the global property cycle via `'C0'`,
`'C1'`... `'C9'`
- use the global property cycle more places (bar, stem, scatter)
There is a 'classic' style sheet which reproduces the 1.Y defaults:
import matplotlib.style as mstyle
mstyle.use('classic')
A big thank you to everyone who worked on this release.
Tom
------------------------------------------------------------------------------
What NetFlow Analyzer can do for you? Monitors network bandwidth and traffic
patterns at an interface-level. Reveals which users, apps, and protocols are
consuming the most bandwidth. Provides multi-vendor support for NetFlow,
J-Flow, sFlow and other flows. Make informed decisions using capacity
planning reports. https://ad.doubleclick.net/ddm/clk/305295220;132659582;e
_______________________________________________
Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-users
