Hi Eric,
Great that it works!! This is what I was looking for!
There is one thing left, which is that the tick labels are not exactly
at the boundary between the colors. (It is no problem for me, but I am
interested where it comes from). The script below shows that the
colorswitch is not exactly at an "even" number. The values
-0.022000001 and -0.022 are colored with the same color, whereas
-0.02200001 has a different color. I don't know whether this is the
reason for the ticks not beeing exactly at the intersection..?
I used the newest matplotlib version from the svn-repository.
I would use a script in the following way:
from pylab import *
from matplotlib import ticker
delta = 0.01
x = arange(-3.0, 3.0, delta)
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 = Z2 - Z1 # difference of Gaussians
Z[20,20]=-0.022
Z[20,25]=-0.022000001
Z[20,30]=-0.02200001
Z[20,35]=-0.0220001
Z[20,40]=-0.022001
Z[20,45]=-0.02201
cmap = cm.get_cmap('jet', 10) # 10 discrete colors
#### Set vmin and vmax beforehand
im = imshow(Z, cmap=cmap, vmin=-0.15, vmax=0.17, interpolation='nearest')
colorbar(ticks=linspace(im.norm.vmin, im.norm.vmax, 11)) # 11 tick labels
Thanks!
Claas :-)
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