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From: James B. <bo...@ll...> - 2005-01-13 17:53:46
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To reply to my own post: On question (1): I modified the call to colorbar in pylab.py to accept a color map and norm keyword arguments. It was this functionality that was needed from the mappable image. So if the keywords are provided colorbar uses them, otherwise it looks for a mappable image. This modification disables the observer feature for now if the color map is a keyword, a bit more work should get this going. It looks like it would be easily doable, but I need something for the exigencies of work and will get back to this later. This also would allow for a colorbar key for coloring contours and vectors. I would also like to code up a floating color bar. Often I make 4/5 images per page with a common colormap and normalization. It is handy just to plop the reference colorbar in a central location not attached to a particular figure. On question (2): Alan Isaac pointed out that using the same edgecolor as the fillcolor would make the borders invisible. --Jim On Jan 12, 2005, at 12:55 PM, James Boyle wrote: > I have a mesh of irregular polygons, like a finite element mesh. Each > polygon has an associated value. > So, I have defined a color map with a appropriate normalization to > define a color for each value and then > built a collection consisting of the polygon vertices and colors. > The resulting plot looks pretty good. This technique would seem to be > useful for FE grids and Delaunay triangles. > > Two questions: > (1) I want to attach a colorbar to the figure, but as of yet I have > not worked out how to do it. > images such as scatter, imshow, pcolor are mappable and will accept a > color bar but my simple polygon fill will not. > > (2) How do I eliminate the edge lines about each polygon? I can make > them very thin but a width of zero does not appear to work. > I recall this being discussed on the list, but now I cannot find the > reference. > > Thanks for any help. > > --Jim > > > > ------------------------------------------------------- > The SF.Net email is sponsored by: Beat the post-holiday blues > Get a FREE limited edition SourceForge.net t-shirt from ThinkGeek. > It's fun and FREE -- well, almost....http://www.thinkgeek.com/sfshirt > _______________________________________________ > Matplotlib-users mailing list > Mat...@li... > https://lists.sourceforge.net/lists/listinfo/matplotlib-users > |