This is the second and final planned release candidate for mpl v2.0

This release includes:

• Bug fixes and documentation changes
• Expanded API on plot_surface and plot_wireframe
• Pin font size at text creation time
• Suppress fc-cache warning unless it takes more than 5s

This is the first release candidate for mpl v2.0

This release includes:

• A re-implementation of the way margins are handled during auto
  scaling to allow artists to 'stick' to an edge of the Axes
• Improvements to the ticking with log and symlog scales
• Deprecation of the finance module. This will be spun off into a stand-alone package
• Deprecation of the 'hold' machinery
• Bumped the minimum numpy version to 1.7
• Standardization of hatch width and appearance across backends
• Made threshold for triggering 'offset' in ScalarFormatter configurable
  and default to 4 (plotting against years should just work now)
• Default encoding for mp4 is now h264
• fill_between and fill_betweenx now use the color cycle
• Default alignment of bars changed from 'edge' to 'center'
• Bug and documentation fixes

Fourth and final beta release

This release contains a few critical bug fixes:

• eliminate fatal exceptions with Qt5.7
• memory leak in the contour code
• keyboard interaction bug with nbagg
• automatic integration with the ipython event loop (if running) which
  fixes 'naive' integration for IPython 5+

Third beta for v2.0.0 release

This tag includes several critical bug fixes and updates the dash patterns.

Final planned release for the 1.5.x series.

First beta release of v2.0.0

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')

First bug fix release for 1.5.x series.

This release of matplotlib has several major new features:

• Auto-redraw using the object-oriented API.
• Most plotting functions now support labeled data API.
• Color cycling has extended to all style properties.
• Four new perceptually uniform color maps, including the soon-to-be
  default 'viridis'.
• More included style sheets.
• Many small plotting improvements.
• Proposed new framework for managing the GUI toolbar and tools.