OK, upon a more careful review of the code, I made a simple(-minded)
error. Specifying vmin and vmax do work (as everyone already knew).
Thanks to Jae-Joon and Eric for their quick replies. and valuable
suggestions.
-- jv
Jim Vickroy wrote:
I want to generate a 2-d figure with a (fixed) color scale that does
not vary with the range of the data being plotted.
How do I do this? Attempts to specify vimin and vmax appear to be
ignored.
The following example:
#<code>
import numpy
data = numpy.zeros(shape=(240,240),dtype=int)
data[ 0: 80] = -1
data[ 80:160] = 0
data[160:] = 1
import matplotlib.pyplot as plot
figure = plot.figure()
ax = figure.add_subplot(111)
cax = ax.imshow(data, interpolation='bilinear')
ax.set_title('test data with fixed colorbar')
colorbar = figure.colorbar(cax, ticks=[-1, 0, 1])
colorbar.ax.set_yticklabels(['-1', '0', '1'])
plot.show()
#</code>
produces a figure with 3 color bands (blue,green,red) and matching
color bar with labels (-1,0,1) as expected.
if the data[160:]=1 specification is deleted, in the above code, the
resulting figure has 2 color bands (blue,red) and the associated color
bar is identical to the original, but the labels are (-1,0).
What I want, in this second case, is a blue-green figure and a color
bar with labels identical to the original example.
-- jv
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