matplotlib: varying color of line to capture natural time parameterization in data -

i trying vary color of line plotted data in 2 arrays (eg. ax.plot(x,y)). color should vary index x , yincreases. trying capture natural 'time' parameterization of data in arrays x , y.

in perfect world, want like:

fig = pyplot.figure() ax  = fig.add_subplot(111) x   = myxdata  y   = myydata  # length of x , y 100 ax.plot(x,y,color=[i/100,0,0]) # index x (and y) 

to produce line color varying black dark red , on bright red.

i have seen examples work plotting function explicitly parameterized 'time' array, can't work raw data...

the second example 1 want... i've edited fit example, more importantly read comments understand going on:

import numpy np matplotlib import pyplot plt matplotlib.collections import linecollection  x   = myxdata  y   = myydata t = np.linspace(0,1,x.shape[0]) # "time" variable  # set list of (x,y) points points = np.array([x,y]).transpose().reshape(-1,1,2) print points.shape  # out: (len(x),1,2)  # set list of segments segs = np.concatenate([points[:-1],points[1:]],axis=1) print segs.shape  # out: ( len(x)-1, 2, 2 )                   # see we've done here -- we've mapped our (x,y)                   # points array of segment start/end coordinates.                   # segs[i,0,:] == segs[i-1,1,:]  # make collection of segments lc = linecollection(segs, cmap=plt.get_cmap('jet')) lc.set_array(t) # color segments our parameter  # plot collection plt.gca().add_collection(lc) # add collection plot plt.xlim(x.min(), x.max()) # line collections don't auto-scale plot plt.ylim(y.min(), y.max())