I converted your example to a standalone one (attached), and it does work for me. It's hard to say what may be going wrong for you without knowing what a_steady and L_range are and what the limits of the axes are getting set to etc. Can you provide a fully self-contained script that exhibits this behavior? Also, what version of matplotlib and platform are you using?

Cheers,
Mike

Zoho Vignochi wrote:
On Thu, 01 May 2008 22:00:33 +0000, Zoho Vignochi wrote:

Hello:

I have a script in which I have been using plot to plot numerous lines
on the same graph. I recently wanted to see how Line Collections work so
I tried porting it over. Everything successful except I can't seem to
get each line to be a different color. Here is the relevant section:

# Make a list of colors cycling through the rgbcmyk series.
        colors = [colorConverter.to_rgba(c) for c in
('r','g','b','c','y','m','k')]
        
        fig = plt.figure()
        ax = fig.add_subplot(1,1,1)
        lines = collections.LineCollection([zip(L_range, item) for item
in a_steady])
        lines.set_array(L_range)
        lines.set_color(colors)
        ax.add_collection(lines, autolim=True)
        
However every line is blue. Any ideas?

 I should mention my import lines:

import numpy as np
from numpy import sum, zeros, less, where
import scipy as sp

import matplotlib.pyplot as plt
from matplotlib import collections
from matplotlib.colors import colorConverter


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--
Michael Droettboom
Science Software Branch
Operations and Engineering Division
Space Telescope Science Institute
Operated by AURA for NASA

import numpy as np
from numpy import sum, zeros, less, where
import scipy as sp

import matplotlib.pyplot as plt
from matplotlib import collections
from matplotlib.colors import colorConverter

colors = [colorConverter.to_rgba(c) for c in
          ('r','g','b','c','y','m','k')]

fig = plt.figure()
ax = fig.add_subplot(1,1,1)
lines = collections.LineCollection([[[x,0], [x+1, 1], [x+2, 2]] for x in 
range(20)])
# lines.set_array(L_range)
lines.set_color(colors)
ax.add_collection(lines, autolim=True)
ax.set_xlim(0, 21)
ax.set_ylim(0, 2)
plt.show()
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