What's new in matplotlib-0.52
Basic image support. Images can be specified by Numeric float arrays
If X is MxN, assume luminance (grayscale)
If X is MxNx3, assume RGB
If X is MxNx4, assume RGBA
imshow(X, cmap) # plot X using colormap; see examples/pcolor_demo2.py
see help(imshow) and the image_demo*.py examples in the matplotlib
src distribution. Set BUILD_IMAGE in setup.py for image
support. Currently available on Agg, GTKAgg, TkAgg and GTK
backends. win32 GTK users should use GTKAgg unless your pygtk is
compiled with Numeric support.
The pseudocolor images generated with imshow are 8 million times
faster than pcolors.
In addition to adding legends to the axes with the legend command,
you can place legends anywhere in the figure with figlegend
Andrew Straw wrote a fill command to plot filled polygons. See
Make 2D spectrograms with specgram.
Requires image support; see specgram_demo.py
Bugfixes and minor improvements
* Tk : Fixed a close figure bug in interactive mode
* GTK : Much improved mathtext performance thanks to patch by
* All : Fixed a bug that showed up in successive calls to plot
with just one plot argument