On Sun, Jan 29, 2012 at 2:21 AM, Paul Hobson <pmhob...@gmail.com> wrote:
> There is undoubtedly a more efficient way to do this, but give this a shot:
>
> import numpy as np
> import matplotlib.pyplot as plt
>
> x = np.arange(0, 10.5, 0.5)
> y = -3.0*x + 0.5*x**2
>
> color_list = ['FireBrick', 'Orange', 'DarkGreen', 'DarkBlue', 'Indigo']
> limits = np.arange(0, 11, 2)
> fig, ax1 = plt.subplots()
> for n, color in enumerate(color_list):
> lower = np.where(x >= limits[n])[0]
> upper = np.where(x <= limits[n+1])[0]
> index = np.intersect1d(lower, upper)
> ax1.plot(x[index], y[index], linestyle='-', color=color, linewidth=2)
>
> plt.show()
>
> HTH,
> -paul
>
Alternatively, you could replace the loop above with::
indexes = np.searchsorted(x, limits)
# add 1 to end index so that segments overlap
for i0, i1, color in zip(indexes[:-1], indexes[1:]+1, color_list):
ax1.plot(x[i0:i1], y[i0:i1], linestyle='-', color=color,
linewidth=2)
This is not much different than Paul's example---just whatever you find
more readable.
-Tony
>
> On Fri, Jan 27, 2012 at 8:12 AM, nahren manuel <meetnah...@yahoo.com>
> wrote:
> > Dear Users,
> > I want to plot a XY, the X-value is constant, but let assume Y varees
> from
> > 1-10, so I want o have different colors accordingly for the range
> > 0-2,2-4,4-6,6-8,8-10.
> >
> > thanks a lot
> > najren
> >
> >
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