Re: [Matplotlib-users] Labeling/distinguishing lots of curves on a single plot

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  
<jsalvati@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 <jsalvati@u.washington.edu 
> > wrote:
> Thanks!
>
>
> On Mon, Aug 23, 2010 at 12:38 PM, Aman Thakral  
> <ama...@gm...> 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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