We have just released a new version of matplotlib, available for download at
https://sourceforge.net/project/showfiles.php?group_id=80706&package_id=278194&release_id=646146
These "what's new" release notes, with graphs and links, are available in
html at
http://matplotlib.sourceforge.net/users/whats_new.html
Thanks to Charlie Moad for testing and preparing the source release,
including binaries for OS X and Windows for python 2.4 and 2.5 (2.6
and 3.0 will not be available until numpy is available on those
releases). Thanks to the many developers who contributed to this
release, with contributions from Jae-Joon Lee, Michael Droettboom,
Ryan May, Eric Firing, Manuel Metz, Jouni K. Seppaenen, Jeff Whitaker,
Darren Dale, David Kaplan, Michiel de Hoon and many others who
submitted patches
What new in 0.98.4
==============================
It's been four months since the last matplotlib release, and there are
a lot of new features and bug-fixes
Legend enhancements
--------------------
Jae-Joon has rewritten the legend class, and added support for
multiple columns and rows, as well as fancy box drawing. See
http://matplotlib.sourceforge.net/api/pyplot_api.html#matplotlib.pyplot.legend
http://matplotlib.sourceforge.net/api/artist_api.html#matplotlib.legend.Legend
http://matplotlib.sourceforge.net/examples/pylab_examples/legend_demo3.html
Fancy annotations and arrows
-----------------------------
Jae-Joon has added lot's of support to annotations for drawing fancy
boxes and connectors in annotations. See
http://matplotlib.sourceforge.net/api/pyplot_api.html#matplotlib.pyplot.annotate
http://matplotlib.sourceforge.net/api/artist_api.html#matplotlib.patches.BoxStyle
http://matplotlib.sourceforge.net/api/artist_api.html#matplotlib.patches.ArrowStyle
http://matplotlib.sourceforge.net/api/artist_api.html#matplotlib.patches.ConnectionStyle
http://matplotlib.sourceforge.net/examples/pylab_examples/annotation_demo2.html
Native OS X backend
--------------------
Michiel de Hoon has provided a native Mac OSX backend that is almost
completely implemented in C. The backend can therefore use Quartz
directly and, depending on the application, can be orders of magnitude
faster than the existing backends. In addition, no third-party
libraries are needed other than Python and NumPy. The backend is
interactive from the usual terminal application on Mac using regular
Python. It hasn't been tested with ipython yet, but in principle it
should to work there as well. Set 'backend : macosx' in your
matplotlibrc file, or run your script with::
> python myfile.py -dmacosx
psd amplitude scaling
-------------------------
Ryan May did a lot of work to rationalize the amplitude scaling of
:func:`~matplotlib.pyplot.psd` and friends. The changes should
increase MATLAB (TM) compatabililty and increase scaling options.
http://matplotlib.sourceforge.net/api/pyplot_api.html#matplotlib.pyplot.psd
http://matplotlib.sourceforge.net/examples/pylab_examples/psd_demo2.html#pylab-examples-psd-demo2
http://matplotlib.sourceforge.net/examples/pylab_examples/psd_demo3.html#pylab-examples-psd-demo3
Fill between
------------------
Added a fill_between function to make it easier to do shaded region
plots in the presence of masked data. You can pass an *x* array and a
*ylower* and *yupper* array to fill betweem, and an optional *where*
argument which is a logical mask where you want to do the filling. See
http://matplotlib.sourceforge.net/api/pyplot_api.html#matplotlib.pyplot.fill_between
http://matplotlib.sourceforge.net/examples/pylab_examples/fill_between.html
Lots more
-----------
Here are the 0.98.4 notes from the CHANGELOG::
Added mdehoon's native macosx backend from sf patch 2179017 - JDH
Removed the prints in the set_*style commands. Return the list of
pprinted strings instead - JDH
Some of the changes Michael made to improve the output of the
property tables in the rest docs broke of made difficult to use
some of the interactive doc helpers, eg setp and getp. Having all
the rest markup in the ipython shell also confused the docstrings.
I added a new rc param docstring.harcopy, to format the docstrings
differently for hardcopy and other use. Ther ArtistInspector
could use a little refactoring now since there is duplication of
effort between the rest out put and the non-rest output - JDH
Updated spectral methods (psd, csd, etc.) to scale one-sided
densities by a factor of 2 and, optionally, scale all densities by
the sampling frequency. This gives better MatLab
compatibility. -RM
Fixed alignment of ticks in colorbars. -MGD
drop the deprecated "new" keyword of np.histogram() for numpy 1.2
or later. -JJL
Fixed a bug in svg backend that new_figure_manager() ignores
keywords arguments such as figsize, etc. -JJL
Fixed a bug that the handlelength of the new legend class set too
short when numpoints=1 -JJL
Added support for data with units (e.g. dates) to
Axes.fill_between. -RM
Added fancybox keyword to legend. Also applied some changes for
better look, including baseline adjustment of the multiline texts
so that it is center aligned. -JJL
The transmuter classes in the patches.py are reorganized as
subclasses of the Style classes. A few more box and arrow styles
are added. -JJL
Fixed a bug in the new legend class that didn't allowed a tuple of
coordinate vlaues as loc. -JJL
Improve checks for external dependencies, using subprocess
(instead of deprecated popen*) and distutils (for version
checking) - DSD
Reimplementaion of the legend which supports baseline alignement,
multi-column, and expand mode. - JJL
Fixed histogram autoscaling bug when bins or range are given
explicitly (fixes Debian bug 503148) - MM
Added rcParam axes.unicode_minus which allows plain hypen for
minus when False - JDH
Added scatterpoints support in Legend. patch by Erik Tollerud -
JJL
Fix crash in log ticking. - MGD
Added static helper method BrokenHBarCollection.span_where and
Axes/pyplot method fill_between. See
examples/pylab/fill_between.py - JDH
Add x_isdata and y_isdata attributes to Artist instances, and use
them to determine whether either or both coordinates are used when
updating dataLim. This is used to fix autoscaling problems that
had been triggered by axhline, axhspan, axvline, axvspan. - EF
Update the psd(), csd(), cohere(), and specgram() methods of Axes
and the csd() cohere(), and specgram() functions in mlab to be in
sync with the changes to psd(). In fact, under the hood, these
all call the same core to do computations. - RM
Add 'pad_to' and 'sides' parameters to mlab.psd() to allow
controlling of zero padding and returning of negative frequency
components, respecitively. These are added in a way that does not
change the API. - RM
Fix handling of c kwarg by scatter; generalize is_string_like to
accept numpy and numpy.ma string array scalars. - RM and EF
Fix a possible EINTR problem in dviread, which might help when
saving pdf files from the qt backend. - JKS
Fix bug with zoom to rectangle and twin axes - MGD
Added Jae Joon's fancy arrow, box and annotation enhancements --
see examples/pylab_examples/annotation_demo2.py
Autoscaling is now supported with shared axes - EF
Fixed exception in dviread that happened with Minion - JKS
set_xlim, ylim now return a copy of the viewlim array to avoid
modify inplace surprises
Added image thumbnail generating function
matplotlib.image.thumbnail. See examples/misc/image_thumbnail.py
- JDH
Applied scatleg patch based on ideas and work by Erik Tollerud and
Jae-Joon Lee. - MM
Fixed bug in pdf backend: if you pass a file object for output
instead of a filename, e.g. in a wep app, we now flush the object
at the end. - JKS
Add path simplification support to paths with gaps. - EF
Fix problem with AFM files that don't specify the font's full name
or family name. - JKS
Added 'scilimits' kwarg to Axes.ticklabel_format() method, for
easy access to the set_powerlimits method of the major
ScalarFormatter. - EF
Experimental new kwarg borderpad to replace pad in legend, based
on suggestion by Jae-Joon Lee. - EF
Allow spy to ignore zero values in sparse arrays, based on patch
by Tony Yu. Also fixed plot to handle empty data arrays, and
fixed handling of markers in figlegend. - EF
Introduce drawstyles for lines. Transparently split linestyles
like 'steps--' into drawstyle 'steps' and linestyle '--'. Legends
always use drawstyle 'default'. - MM
Fixed quiver and quiverkey bugs (failure to scale properly when
resizing) and added additional methods for determining the arrow
angles - EF
Fix polar interpolation to handle negative values of theta - MGD
Reorganized cbook and mlab methods related to numerical
calculations that have little to do with the goals of those two
modules into a separate module numerical_methods.py Also, added
ability to select points and stop point selection with keyboard in
ginput and manual contour labeling code. Finally, fixed contour
labeling bug. - DMK
Fix backtick in Postscript output. - MGD
[ 2089958 ] Path simplification for vector output backends
Leverage the simplification code exposed through path_to_polygons
to simplify certain well-behaved paths in the vector backends
(PDF, PS and SVG). "path.simplify" must be set to True in
matplotlibrc for this to work. - MGD
Add "filled" kwarg to Path.intersects_path and
Path.intersects_bbox. - MGD
Changed full arrows slightly to avoid an xpdf rendering problem
reported by Friedrich Hagedorn. - JKS
Fix conversion of quadratic to cubic Bezier curves in PDF and PS
backends. Patch by Jae-Joon Lee. - JKS
Added 5-point star marker to plot command q- EF
Fix hatching in PS backend - MGD
Fix log with base 2 - MGD
Added support for bilinear interpolation in
NonUniformImage; patch by Gregory Lielens. - EF
Added support for multiple histograms with data of
different length - MM
Fix step plots with log scale - MGD
Fix masked arrays with markers in non-Agg backends - MGD
Fix clip_on kwarg so it actually works correctly - MGD
Fix locale problems in SVG backend - MGD
fix quiver so masked values are not plotted - JSW
improve interactive pan/zoom in qt4 backend on windows - DSD
Fix more bugs in NaN/inf handling. In particular, path
simplification (which does not handle NaNs or infs) will be turned
off automatically when infs or NaNs are present. Also masked
arrays are now converted to arrays with NaNs for consistent
handling of masks and NaNs - MGD and EF
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