And if you have mutually prime numbers of colors,
linestyles, widths, you can automatically generate
more distinct lines than I can distinguish... If there's any
wxcuse for treating them as a series, I replot
when I know how many I have, and space the
colors through a colorbar.
&C
Away from home, checking mail rarely.
On Aug 23, 2010, at 2:11 PM, John Salvatier
<jsalv...@u.washington.edu> wrote:
By the way, I found that the following generator expression made
things easy:
def styles():
return ( {'c' : color, 'ls' : style, 'lw' : width} for color,
style, width in itertools.product(colors, linestyles, linewidths))
then you can do something like
for result, style in zip(results, styles()):
pylab.plot(result[i], **style)
On Mon, Aug 23, 2010 at 1:22 PM, John Salvatier <jsalv...@u.washington.edu
> wrote:
Thanks!
On Mon, Aug 23, 2010 at 12:38 PM, Aman Thakral
<aman.thak...@gmail.com> wrote:
Hi John,
Here is a simple way to do it.
import matplotlib.pyplot as plt
import numpy as np
fig = plt.figure()
ax = fig.add_subplot(111)
colors = ('red','green','blue','yellow','orange')
linestyles = ('-','--',':')
linewidths = (0.5,2)
y = np.random.randn(100,30)
x = range(y.shape[0])
i = 0
for c in colors:
for ls in linestyles:
for lw in linewidths:
ax.plot(x,y[:,i],c=c,ls=ls,lw=lw)
i+=1
plt.show()
On 10-08-23 03:06 PM, John Salvatier wrote:
Hello,
I have a plot with lots of curves on it (say 30), and I would like
to have some way of distinguishing the curves from each other. Just
plotting them works well for a few curves because they come out as
different colors unless you specify otherwise, but if you do too
many you start getting repeats is there a way to have matplotlib
also vary the line style that it automatically assigns? Or perhaps
someone has another way of distinguishing lots of curves?
Best Regards,
John
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