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From: Benjamin R. <ben...@ou...> - 2015-01-20 15:58:07
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There are fundamental limitations of mplot3d that would make such a feature a disaster. You can plot a single surface just fine, but if you try plotting multiple surfaces, they do not get composed correctly (what I have dubbed the "Escher effect"). That problem would have to be solved first. In the past 5 years, I have yet to figure out a solution that doesn't utterly upend matplotlib. That doesn't mean that it isn't solvable, I just haven't figured it out, nor do I really have that much motivation or resources to figure it out. There was a discussion thread a few months back that raised a couple ideas that might be promising, though, if you want to look take a stab at the problem. On Tue, Jan 20, 2015 at 10:49 AM, Nils Wagner <ni...@go...> wrote: > > I am aware of the gallery but I didn't find a similar picture I am looking > for. > > If something is *comprehensive*, it is *complete* and includes everything > that is important. > > Shall I create a feature request for isosurface plots in matplotlib ? > > http://en.wikipedia.org/wiki/Isosurface > > > On Tue, Jan 20, 2015 at 4:27 PM, Paul Hobson <pmh...@gm...> wrote: > >> The gallery had a comprehensive set of available three dimensional plots, >> I think. >> >> http://matplotlib.org/gallery.html#mplot3d >> On Tue, Jan 20, 2015 at 01:19 Nils Wagner <ni...@go...> wrote: >> >>> Hi all, >>> >>> I found >>> >>> >>> http://stackoverflow.com/questions/9419451/3d-contour-plot-from-data-using-mayavi-python >>> >>> Is there something similar in matplotlib ? >>> >>> >>> Nils >>> >>> >>> ------------------------------------------------------------ >>> ------------------ >>> New Year. New Location. New Benefits. New Data Center in Ashburn, VA. >>> GigeNET is offering a free month of service with a new server in Ashburn. >>> Choose from 2 high performing configs, both with 100TB of bandwidth. >>> Higher redundancy.Lower latency.Increased capacity.Completely compliant. >>> http://p.sf.net/sfu/gigenet______________________________ >>> _________________ >>> Matplotlib-users mailing list >>> Mat...@li... >>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users >>> >> > > > ------------------------------------------------------------------------------ > New Year. New Location. New Benefits. New Data Center in Ashburn, VA. > GigeNET is offering a free month of service with a new server in Ashburn. > Choose from 2 high performing configs, both with 100TB of bandwidth. > Higher redundancy.Lower latency.Increased capacity.Completely compliant. > http://p.sf.net/sfu/gigenet > _______________________________________________ > Matplotlib-users mailing list > Mat...@li... > https://lists.sourceforge.net/lists/listinfo/matplotlib-users > > |