many improvements, some cleanup, most notably:
-new graphics types and backends
-layout and legend improvements
-better 3d support
-Numerix support removed
- assume that Python 2.4 and 2.5 are compatible and allow checking for
fallout.
- remove PYTHON_VERSIONS_COMPATIBLE that are obsoleted by the 2.3+
default. Modify the others to deal with the removals.
too many feature additions and fixes to list here
pkgsrc changes:
removed all X11 frontend support, leaving just the ability to create
image files
frontends will be added as separate pkgs
developer is officially maintaining the package.
The rationale for changing this from "tech-pkg" to "pkgsrc-users" is
that it implies that any user can try to maintain the package (by
submitting patches to the mailing list). Since the folks most likely
to care about the package are the folks that want to use it or are
already using it, this would leverage the energy of users who aren't
developers.
Added Mark Athen's 'scale' patch, so that on a scaled axis a circle
looks like circle. See help(axis).
New cursor and span selector widgets
You can use use matplotlib event handling to register a callback after
figure draw using 'draw_event' which calls the callback with a
DrawEvent instance
Use 'f' to toggle full screen mode in the GTK backends.
Steve Chaplin has made numerous updates to the GTK and SVG backends.
Reorganized config files
Updated agg_test.py to demonstrate curved paths and fills.
Upgraded pyparsing and applied Paul McGuire's suggestions for speeding
things up. This more than doubles the speed of mathtext in my simple
tests.
Bugs fixed / small features
What's new in matplotlib 0.82
Subplot configuration
GUI neutral widgets
Exposes line cap and join style via new rc params and Line2D properties
All Axes properties are now exposed via kwargs
Small bugfixes and features
What's new in matplotlib 0.81
TeX support
Masked arrays
Much faster image loading for MxNx4 or MxNx3 UInt8 images.
New image interpolation options
set deprecated
New scalar formatter
Bug fixes
and modified by me.
matplotlib is a pure python plotting library designed to bring
publication quality plotting to python with a syntax familiar to
matlab users. A lot progress towards this goal has been made since
the first release of matplotlib, the library does produce high quality
2D plots. All of the plotting commands can be accessed either via a
functional interface familiar to matlab users or an object oriented
interface familiar to python users, and several high resolution output
formats are supported.
