I have a series of lines that each need to be plotted with a separate colour. Each line is actually made up of several data sets (positive, negative regions etc.) and so I'd like to be able to create a generator that will feed one colour at a time across a spectrum, for example the gist_rainbow
map shown here.
I have found the following works but it seems very complicated and more importantly difficult to remember,
from pylab import *
NUM_COLORS = 22
mp = cm.datad['gist_rainbow']
get_color = matplotlib.colors.LinearSegmentedColormap.from_list(mp, colors=['r', 'b'], N=NUM_COLORS)
...
# Then in a for loop
this_color = get_color(float(i)/NUM_COLORS)
Moreover, it does not cover the range of colours in the gist_rainbow
map, I have to redefine a map.
Maybe a generator is not the best way to do this, if so what is the accepted way?
To index colors from a specific colormap you can use:
import pylab
NUM_COLORS = 22
cm = pylab.get_cmap('gist_rainbow')
for i in range(NUM_COLORS):
color = cm(1.*i/NUM_COLORS) # color will now be an RGBA tuple
# or if you really want a generator:
cgen = (cm(1.*i/NUM_COLORS) for i in range(NUM_COLORS))