per freem wrote: > 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. > Hi Per,
I wrote two things that may be of interest to you. This first is mplsizer, based on the wx layout model, and works "live" (with a figure open in a GUI) as well as for saving to disk. See the demo directory for, well, some demos. I haven't been using this too much lately, but it still works as well as it ever did AFAIK. There is a trivial bit of documentation and a copy of the source at http://github.com/astraw/mplsizer The second is svg_stack. This is used as a post-processing step that requires saving my figures as svg files and then composing them with this tool. There is some minimal documentation and the source at http://github.com/astraw/svg_stack . The nice thing with svg_stack is that you can use svg files from other sources (i.e. not just matplotlib). Also, everything can be manually adjusted in Inkscape, which itself has nice command-line export to .png and .pdf capabilities. -Andrew ------------------------------------------------------------------------------ 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
