hi all, i am a *huge fan* of matplotlib and use it for all plotting. one feature that i would find extremely useful that i believe is missing (but am very open to being corrected in case i overlooked something) is a way to define the layout of complex subplots. by this i mean something like R's "layout" command, which allows you to nearly arbitrarily arrange the subplots of a figure. this command is much more general than "subplot" since it does not restrict you to square arrangements of figure subplots.
for examples, check out these figures/examples: 1. source code of complex layout: http://rgraphics.limnology.wisc.edu/rmargins_layout.php (the associated graph it produces is here: http://rgraphics.limnology.wisc.edu/images/layouts/rmargins_layout_thumb.png) 2. a tutorial on complex layouts with this command: http://www.statmethods.net/advgraphs/layout.html in particular, see: http://www.statmethods.net/advgraphs/images/layout3a.png where a complex layout which is currently not possible with "subplot" is made. a command like R's layout would be a tremendously helpful addition to matplotlib, in my opinion. it will prevent the need for annoying manual "postprocessing" of figures into these layouts using tools like Illustrator, since these figures could be generated programmatically instead, which much more precision. as far as i know, this cannot be done in matplotlib right now, without plotting your own axes (using some combination of axes grid toolkit and raw axes plotting.) if anyone out there has written some kind of wrappers that do something like the "layout" command, i would love to know about it. if it's still in testing and not part of the current matplotlib, i'd be more than happy to beta test this for anyone and try it on many examples. thanks very much for your help. ------------------------------------------------------------------------------ This SF.Net email is sponsored by the Verizon Developer Community Take advantage of Verizon's best-in-class app development support A streamlined, 14 day to market process makes app distribution fast and easy Join now and get one step closer to millions of Verizon customers http://p.sf.net/sfu/verizon-dev2dev _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
