Hi All,
To follow up on my own post - because my curtains and contours were
well-ordered, I simply set the "zorder" on each call and got the right effect.
Thanks, Jody
On Sep 25, 2013, at 15:15 PM, Jody Klymak <jkly...@uvic.ca> wrote:
>
> Hi all,
>
> I am trying to make 3-D "curtain" plots. Basically, x,y are N-vectors, z is
> an M-vector, and C is MxN data set collected on the path with z. Application
> is a ship's track through the ocean. I also want to be able to contour a
> second variable C2 also MxN. I know how to do that, but the example below
> just uses plot3D, because thats how I do the curtain contouring.
>
> If I plot three such "curtains" they look OK, including the magenta line in
> each.
>
> If I plot a fourth, the magenta line is obscured by the curtain, and so on
> for more curtains.
>
> <bad3dslices.png>
>
> Any clue what the problem is? The code for this example is below, and I think
> is self contained, plus or minus running in pylab.
>
> Thanks, Jody
>
> from mpl_toolkits.mplot3d import Axes3D
> from matplotlib import cm
> import matplotlib.pyplot as plt
> import numpy as np
>
> n=0
> fig = figure()
> for Nn in array([3,4]):
> n=n+1
> ax = fig.add_subplot(2,1,n,projection='3d')
> for off in arange(0,Nn*2,2)*50.:
>
> x = np.arange(-5, 5, .5)
> y = np.arange(-5, 5, .5)
> Z = np.arange(0,200,1)
> Z=np.tile(np.reshape(Z,(200,1)),(1,size(y)))
> X = np.tile(y,(200,1))
> Y = np.tile(y,(200,1))
>
> N = X*Y*Z
> N = N/N.max() # normalize 0..1
> surf = ax.plot_surface(
> X+off, Y, Z, rstride=20, cstride=4,
> facecolors=cm.jet(N),
> linewidth=0, antialiased=False, shade=False,alpha=0.9)
> ax.plot(x+off+0.001,y,(y+5)*25.,'m')
> ax.set_xlim([-50,350])
> ax.set_ylim([-8.,8.])
> fig.savefig('doc/bad3dslices.png',res=72)
>
> --
> Jody Klymak
> http://web.uvic.ca/~jklymak/
>
>
>
>
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--
Jody Klymak
http://web.uvic.ca/~jklymak/
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