I think David Cournapeau's email to the -user list (included below) brings up the general issue of whether and how and when we want to go about deprecating the use of Numeric and numarray in MPL. Their continued inclusion in the core of MPL increases complexity (thereby slowing development and making bugs more likely) and limits features by introducing a least-common-denominator situation. For example, Eric Firing and I recently fixed a bug involving masked arrays being passed to quiver() that illustrated this issue. I think it's obvious that Travis Oliphant is succeeding (or is that "has succeeded"?) in creating the definitive array package for Python and people are crazy if they write new code with the older packages. That said, I'm sure there's lots of old code not yet ported, but numpy has pretty good (copy-less) support for Numeric and numarray arrays, too -- just because they won't be in the core of MPL doesn't mean they can't be used.
So, this email is just to ask the questions, not to actually propose anything concrete: Do we add deprecation warnings for the 0.90+1 release cycle and then stop building the numarray and numeric numerix backends at some point after that? When? Do we keep the "numerix" name or just switch everything to numpy? -Andrew David Cournapeau wrote: > Hi there, > > A few months back, I complained about the slowness of the image > function in matplotlib. One of the cullprit was a slow clip function; > I've done a bit some work to improve the situation on numpy's side, > efforts which were integrated in numpy 1.0.2. Now, when you clip a numpy > array with scalar min and max values, you get a 5 to 30 fold speed-up; > to get the maximum efficiency, you need inplace clipping (using the > syntax a.clip(min, max, a) for a a numpy array). This makes image > significantly faster (between 100 and 200 ms on recent computers), and I > am sure in other functionalities of matplotlib as well. > cheers, > > David > > ------------------------------------------------------------------------- > Take Surveys. Earn Cash. Influence the Future of IT > Join SourceForge.net's Techsay panel and you'll get the chance to share your > opinions on IT & business topics through brief surveys-and earn cash > http://www.techsay.com/default.php?page=join.php&p=sourceforge&CID=DEVDEV > _______________________________________________ > Matplotlib-users mailing list > Matplotlib-users@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/matplotlib-users > ------------------------------------------------------------------------- Take Surveys. Earn Cash. Influence the Future of IT Join SourceForge.net's Techsay panel and you'll get the chance to share your opinions on IT & business topics through brief surveys-and earn cash http://www.techsay.com/default.php?page=join.php&p=sourceforge&CID=DEVDEV _______________________________________________ Matplotlib-devel mailing list Matplotlib-devel@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-devel
