matplotlib 0.91.3 is released ============================= This is the maintenance bug-fix and feature enhancement release of the 0.91 branch. Because the 0.98 refactoring introduced more code breakage than usual, we decided to branch the 0.91 series for users unable to upgrade right away. We have ported as many bug fixes and features to the maintenance branch as possible, and these are now available for release as 0.91.3.
Homepage: http://matplotlib.sf.net Downloads are available at http://sourceforge.net/project/platformdownload.php?group_id=80706 with binary installers for windows and OS X. Thanks to Charlie Moad for the builds and release. What's new in matplotlib 0.91.3 =============================== ginput function --------------- ginput (http://matplotlib.sf.net/matplotlib.pyplot.html#-ginput) is a blocking function for interactive use to get input from the user. A long requested feature submitted by Gael Varoquaux. See http://matplotlib.sf.net/examples/pylab/ginput_demo.py. better savefig -------------- savefig (http://matplotlib.sf.net/matplotlib.pyplot.html#-savefig) now supports save to file handles (great for web app servers) or unicode filenames on all backends record array functions ---------------------- some more helper functions to facilitate work with record arrays: rec_groupby, rec2txt, and rec_summarize. These are found in matplotlib.mlab (http://matplotlib.sf.net/matplotlib.mlab.html) accurate elliptical arcs ------------------------ In support of the Phoenix mission to Mars, which used matplotlib in ground tracking of the spacecraft, Michael Droettboom built on work by Charlie Moad to provide an extremely accurate 8-spline approximation to elliptical arcs (see http://matplotlib.sf.net/matplotlib.patches.html#Arc-draw)win the viewport. This provides a scale free, accurate graph of the arc regardless of zoom level. See the screenshot and example at http://matplotlib.sf.net/screenshots.html#ellipse_demo imread enhanced --------------- imread (http://matplotlib.sf.net/matplotlib.image.html#-imread) now will use PIL when available to load images and return numpy arrays backend enhancements -------------------- * postscript : the postscript backend has clipping to paths (useful for polar plots) * PDF : the PDF backend handles composite glyphs properly, usetex fixes * SVG : clip to path (useful for polar plots), inkscape cut-and-paste fixes. * QT : Fixed a duplicate draw bug that slowed performance. Native qt toolbars and status bars used for the toolbar controls ------------------------------------------------------------------------- This SF.net email is sponsored by: Microsoft Defy all challenges. Microsoft(R) Visual Studio 2008. http://clk.atdmt.com/MRT/go/vse0120000070mrt/direct/01/ _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users