The easiest would be using a masked array. arr = np.arange(100).reshape((10,10))
iny, inx = np.indices(arr.shape) mymask=inx+iny>=10 imshow(np.ma.array(arr, mask=mymask), cmap="gray") imshow(np.ma.array(arr, mask=~mymask), cmap="jet") However, I recommend you to use the clippath. http://matplotlib.sourceforge.net/examples/api/clippath_demo.html Regards, -JJ On Tue, Mar 8, 2011 at 6:46 PM, T J <tjhn...@gmail.com> wrote: > imshow fills an entire "unit" in the grid. I'd like to overlay two > imshow's on top of each other, but in a non-destructive manner. One > way of doing this would be to modify the behavior of imshow so that it > only fills a portion of each "unit" in the grid. For example, in the > first imshow, I'd fill everything below the diagonal and in the second > imshow, I'd fill everything above the diagonal. > > Would this type of modification to AxesImage be feasible? Or should I > just (manually) make a PolyCollection for each imshow? I'd still want > interpolations to work as expected, but where filling (or not) is > restricted to a region within the "unit". Generally, I think this > could be a nice addition to mpl, but if there is a more typical way of > visualizing two imshows on the same axis, I might try that instead. > > thanks. > > ------------------------------------------------------------------------------ > What You Don't Know About Data Connectivity CAN Hurt You > This paper provides an overview of data connectivity, details > its effect on application quality, and explores various alternative > solutions. http://p.sf.net/sfu/progress-d2d > _______________________________________________ > Matplotlib-users mailing list > Matplotlib-users@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/matplotlib-users > ------------------------------------------------------------------------------ What You Don't Know About Data Connectivity CAN Hurt You This paper provides an overview of data connectivity, details its effect on application quality, and explores various alternative solutions. http://p.sf.net/sfu/progress-d2d _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
