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 hom
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
Thanks!
On Mon, Aug 23, 2010 at 12:38 PM, Aman Thakral 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 = ('-','--',':'
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
fo
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', '#FF', '#00FF00', '#F79E00',
'#ff00ff', '#0080FF', '#FF', '#2D0668',
'#2EB42E', '#ff6633', '#8000ff', '#33',
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 r
