I guess you'd have to write a custom palette dictionnary do to that. If you already have a GMT file, check the link
www.scipy.org/Cookbook/Matplotlib/Loading_a_colormap_dynamically
You could also take a cpt file you like, see for example
http://pdfb.wiredworkplace.net/cpt-city/www/cb/seq/index.html
tweak it to fit your needs and use the script below to convert it to a format matplotlib will understand. See the example in the docstring.
David
def cpt2seg(file_name, sym=False, discrete=False):
"""Reads a .cpt palette and returns a segmented colormap.
sym : If True, the returned colormap contains the palette and a mirrored copy.
For example, a blue-red-green palette would return a blue-red-green-green-red-blue colormap.
discrete : If true, the returned colormap has a fixed number of uniform colors.
That is, colors are not interpolated to form a continuous range.
Example :
>>> _palette_data = cpt2seg('palette.cpt')
>>> palette = matplotlib.colors.LinearSegmentedColormap ('palette',
_palette_data, 100)
>>> imshow(X, cmap=palette)
Licence: MIT
Author: David Huard, 2006
"""
dic = {}
f = open(file_name, 'r')
rgb = read_array(f)
rgb = rgb/255.
s = shape(rgb)
colors = ['red', 'green', 'blue']
for c in colors:
i = colors.index(c)
x = rgb[:, i+1]
if discrete:
if sym:
dic[c] = zeros((2*s[0]+1, 3), float)
dic[c][:,0] = linspace(0,1,2*s[0]+1)
vec = concatenate((x ,x[::-1]))
else:
dic[c] = zeros((s[0]+1, 3), float)
dic[c][:,0] = linspace(0,1,s[0]+1)
vec = x
dic[c][1:, 1] = vec
dic[c][:-1,2] = vec
else:
if sym:
dic[c] = zeros((2*s[0], 3), float)
dic[c][:,0] = linspace(0,1,2*s[0])
vec = concatenate((x ,x[::-1]))
else:
dic[c] = zeros((s[0], 3), float)
dic[c][:,0] = linspace(0,1,s[0])
vec = x
dic[c][:, 1] = vec
dic[c][:, 2] = vec
return dic
2006/6/29, James Boyle <[EMAIL PROTECTED]
>:
I am interested in producing a color map and accompanying colorbar with
non-linear (arbitrary) spacing. My intent is like the attached color
bar in which the increments are monotonic but vary in size. There might
be an easy way to do this but it is not apparent to me.
--Jim
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