On Dec 8, 2008, at 12:55 PM, Ryan May wrote:
> Chad Kidder wrote:
>> I've got many series of data that I want to plot, and each has an
>> additional scalar that is valid for the whole series. What I want
>> to do is plot all these series on top of each other (plot can do
>> this just fine), but with the additional scalar changing the
>> color, efectively using color as the z-axis. I'm not seeing how
>> to do that. If there was a function where I could give a color
>> map a value and it would spit out the color, that would work, but
>> I haven't seen it. Thanks for your help.
>
> Try using scatter instead of plot. Specifically, the 'c' keyword
> argument:
>
> *c*:
> a color. *c* can be a single color format string, or a
> sequence of color specifications of length *N*, or a
> sequence of *N* numbers to be mapped to colors using the
> *cmap* and *norm* specified via kwargs (see below). Note
> that *c* should not be a single numeric RGB or RGBA
> sequence because that is indistinguishable from an array
> of values to be colormapped. *c* can be a 2-D array in
> which the rows are RGB or RGBA, however.
>
> For example:
>
> import numpy as np
> import matplotlib.pyplot as plt
>
> x = np.random.randn(100)
> y = np.random.randn(100)
> data = x**2 + y**2
> plt.scatter(x, y, c=data)
> plt.show()
>
> Ryan
>
Close, but not quite what I want. Maybe this will tell what I want to
do better:
----------------------
import numpy as n
import matplotlib.pyplot as p
nlines = 100
z = n.random.rand(nlines)
x = n.array(range(nlines))
t1, t2 = n.meshgrid(x,z)
y = t1+t2-0.5
for ii in range(nlines):
p.plot(x,y[ii,:],color = str(z[ii]))
p.show()
-------------------
Instead of getting a grayscale plot out, I'd like to use a colormap
like jet() or winter(). Any ideas there?
--Chad Kidder
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