On Jul 19, 2007, at 5:31 PM, Christopher Barker wrote: >> Also, everything should be numpy enabled, >> and the sequence-of-python-tuples approach that many of the >> collections take should be dropped. > > who hoo! > > However, numpy doesn't handle "ragged" arrays well. I wonder if > there's > a good way to implement those, so that transforms can be done > numpy-efficient.
Pad with NaNs? >> = Chaco and Kiva = >> >> It is a good idea for an enterprising developer to take a careful >> look >> at the current Chaco and Kiva > > OK. I have to ask -- why aren't we all just using Chaco? I know I'm > not > because ??years ago, Enthought was not really supporting anything but > Windows -- is that still true? Would it be a whole lot less work to > support GTK, OS-X, ??? in Chaco than keep developing a separate lib? Most of ETS is being developed, tested, and run on Windows, Mac, and Linux every day. We now have eggs for windows and mac and some flavors of linux (fedora, ubuntu). Long ago we factored out Chaco's underlying drawing layer into a package called Kiva. Kiva has Agg- based backends for wxWindows on X11 and Win32, and a native Quartz backend for wxWindows on OS X. There is also a PIL-based non- interactive raster backend. Kiva's PS, PDF, SVG, and GL backends could all use a little love, but they were functioning at one point in time. -Peter ------------------------------------------------------------------------- This SF.net email is sponsored by: Splunk Inc. Still grepping through log files to find problems? Stop. Now Search log events and configuration files using AJAX and a browser. Download your FREE copy of Splunk now >> http://get.splunk.com/ _______________________________________________ Matplotlib-devel mailing list Matplotlib-devel@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-devel
