Releases: matplotlib/matplotlib
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
andfill_betweenx
now use the color cycle- Default alignment of bars changed from 'edge' to 'center'
- Bug and documentation fixes
v2.0.0b4
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
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.
matplotlib v1.5.0
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.
Release 1.4.3
This is the last planned bug-fix release in the 1.4 series.
Many bugs are fixed including:
- fixing drawing of edge-only markers in AGG
- fix run-away memory usage when using %inline or saving with
a tight bounding box with QuadMesh artists - improvements to wx and tk gui backends
Additionally the webagg and nbagg backends were brought closer to
feature parity with the desktop backends with the addition of keyboard
and scroll events thanks to Steven Silvester.