Here are a couple of functions you might try, with a few colors and line
styles I use:
import itertools
from pylab import *
COLORS = ['#990033', '#0000FF', '#00FF00', '#F79E00',
'#ff00ff', '#0080FF', '#FF0000', '#2D0668',
'#2EB42E', '#ff6633', '#8000ff', '#666633',
'#cc0077', '#099499', '#996633', '#000000']
def new_stylecolor_iter():
## Use these to alternate markers, or use all the styles.
## Combine them into the call to 'itertools.product' and
## then add the appropriate kwargs to the call to 'plot'
#markers = itertools.cycle(lines.Line2D.markers.keys())
#styles = itertools.cycle(lines.Line2D.lineStyles.keys())
## alternate colors first, line styles second
sc = itertools.product(['-', ':', '--', '-.'], COLORS)
return sc
def line_plot_alternate():
sc = new_stylecolor_iter()
for i in xrange(0,40):
style, color = sc.next()
plot(xrange(0,20), randn(20), label=str(i), linewidth=3,
linestyle=style, color=color)
legend()
if __name__ == "__main__":
line_plot_alternate()
show()
On Mon, Aug 23, 2010 at 3:06 PM, John Salvatier
<jsalv...@u.washington.edu>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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