I need colormap which has for a fixed value x the color white and all values above x are colorized from white do blue and all values below x are colorized from white to red.
The first question is, is this possible? And my second question how can I do that?
You'll probably have to make a custom colormap and then pass that right in to matrix_plot, perhaps using ListedColormap or LinearSegmentedColormap. But I think this should be doable, as we use matplotlib colormaps as they stand.
@kcrisman is absolutly right:
here are some code examples based on that articel Custom Colormaps
With a lookup dict:
from pylab import *
cdict = {'red': ((0.0, 0.0, 0.0),
(0.5, 1.0, 0.7),
(1.0, 1.0, 1.0)),
'green': ((0.0, 0.0, 0.0),
(0.5, 1.0, 0.0),
(1.0, 1.0, 1.0)),
'blue': ((0.0, 0.0, 0.0),
(0.5, 1.0, 0.0),
(1.0, 0.5, 1.0))}
my_cmap = matplotlib.colors.LinearSegmentedColormap( 'my_colormap', cdict, 256 )
matrix_plot( matrix( [ [1,3,5,1], [2,4,5,6], [1,-3,5,7] ] ), cmap = my_cmap, colorbar = True )
From pool:
from pylab import *
N = 8
cpool = [ '#bd2309', '#bbb12d', '#1480fa', '#14fa2f', '#000000',
'#faf214', '#2edfea', '#ea2ec4', '#ea2e40', '#cdcdcd',
'#577a4d', '#2e46c0', '#f59422', '#219774', '#8086d9' ]
cmap3 = matplotlib.colors.ListedColormap(cpool[0:N], 'indexed')
matrix_plot( matrix( [ [1,3,5,1], [2,4,5,6], [1,-3,5,7] ] ), cmap = cmap3, colorbar = True )
As gradient:
from pylab import *
startcolor = '#FF0000'
midcolor = '#FFFFFF'
endcolor = '#0030CC'
own_cmap1 = matplotlib.colors.LinearSegmentedColormap.from_list( 'own2', [startcolor, midcolor, endcolor] )
matrix_plot( matrix( [ [1,3,5,1], [2,4,5,6], [1,-3,5,7] ] ), cmap = own_cmap1, colorbar = True )
Asked: 2014-09-08 17:27:10 +0200
Seen: 981 times
Last updated: Sep 19 '14
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