Hi folks, I have encountered a problem using colorbar and set_under with a color map that has only 32 colors. The downward arrow is not filled with the correct color. If 64 colors are used, the arrow is filled correctly. I actually want 8 colors.
The test code is essentially image_masked.py from the 0.90.0 examples. if I use: palette = cm.get_cmap("gray", 64) the plot is OK. if I use: palette = cm.get_cmap("gray", 32) it is not OK. In both cases, the upper arrow is the correct color. I am using matplotlib version 0.90.0. Here is the complete code: #!/usr/bin/env python '''imshow with masked array input and out-of-range colors. ''' from pylab import * import matplotlib.numerix.ma as ma import matplotlib.colors as colors delta = 0.025 x = y = arange(-3.0, 3.0, delta) X, Y = meshgrid(x, y) Z1 = bivariate_normal(X, Y, 1.0, 1.0, 0.0, 0.0) Z2 = bivariate_normal(X, Y, 1.5, 0.5, 1, 1) Z = 10 * (Z2-Z1) # difference of Gaussians # Set up a colormap: #palette = cm.gray # OK palette = cm.get_cmap("gray",32) # Not OK #palette = cm.get_cmap("gray",64) # OK palette.set_over('r', 1.0) palette.set_under('g', 1.0) palette.set_bad('b', 1.0) # Alternatively, we could use # palette.set_bad(alpha = 0.0) # to make the bad region transparent. This is the default. # If you comment out all the palette.set* lines, you will see # all the defaults; under and over will be colored with the # first and last colors in the palette, respectively. Zm = ma.masked_where(Z > 1.2, Z) # By setting vmin and vmax in the norm, we establish the # range to which the regular palette color scale is applied. # Anything above that range is colored based on palette.set_over, etc. im = imshow(Zm, interpolation='bilinear', cmap=palette, norm = colors.Normalize(vmin = -1.0, vmax = 1.0, clip = False), origin='lower', extent=[-3,3,-3,3]) title('Green=low, Red=high, Blue=bad') # extend choices are "both", "min", "max" and "neither" colorbar(im, extend='both', shrink=0.8) show() -- Ms. Carol A. Leger SRI International Phone: (650) 859-4114 333 Ravenswood Avenue G-273 Menlo Park, CA 94025 e-mail: [EMAIL PROTECTED] ------------------------------------------------------------------------- This SF.net email is sponsored by: Microsoft Defy all challenges. Microsoft(R) Visual Studio 2008. http://clk.atdmt.com/MRT/go/vse0120000070mrt/direct/01/ _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users