v2.0.0

Major release of Matplotlib

This release completely overhauls the default style of the plots.

Highlights include:

• 'viridis' is default color map instead of jet.
• Modernized the default color cycle.
• Many more functions respect the color cycle.
• Line dash patterns scale with linewidth.
• Change default font to DejaVu, now supports most Western
  alphabets (including Greek, Cyrillic and Latin with diacritics),
  math symbols and emoji out of the box.
• Faster text rendering.
• Improved auto-limits.
• Ticks out and only on the right and bottom spines by default.
• Improved auto-ticking, particularly for log scales and dates.
• Improved image support (imshow respects scales and eliminated a
  class of artifacts).

v2.0.0rc2

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

v2.0.0rc1

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

v2.0.0b4

Fourth and final beta release

v1.5.3

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+

v2.0.0b3

Third beta for v2.0.0 release

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

v2.0.0 beta2

REL: v2.0.0b2

Second beta for v2.0.0

- fixed bugs in scaling dash pattern by linewidth
- fixed over/under propagating in images
- back ported improved png API from master
- deprecate gtk, gdk, wx (not gtkagg, wxagg) backends
- tweaks to default font sizes
- ensure default ticker always has at least 2 ticks
- remove vendored version of `six`
- updated GUI icons
- many small bug fixes

REL: v1.5.2

Final planned release for the 1.5.x series.

v2.0.0b1

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')

matplotlib v1.5.1

First bug fix release for 1.5.x series.