Hi,
What's the equivalent command in matplotlib to matlab's "surf"? I
assume it's Axes3D.plot_surface. But this doesn't see to work. The
code to be ported is:
s = surf(linspace(0,2,100), linspace(-1,1,100), fe');
But in matplotlib I've come up with:
terrain = R.randn(100, 100) / 1
nbumps = 20
f = lambda x: [int(v) for v in x]
bumpsx = 100 * R.rand(1, nbumps)
bumpsx = map(f, bumpsx.round())
bumpsy = 100 * R.rand(1, nbumps)
bumpsy = map(f, bumpsy.round())
f = lambda x: [abs(v) for v in x]
terrain[bumpsx, bumpsy] = map(f, abs(R.randn(1, nbumps))) # TODO:
abs(randn(nbumps, nbumps))
f = lambda x, y: I.lfilter((N.ones((1, x,)) / x)[0], 1, y)
fterrain = (f(20, f(15, terrain).conj().T)).conj().T
x = N.linspace(0, 2, 100)
y = N.linspace(-1, 1, 100)
z = fterrain
surface = axes3d.plot_surface(x, y, z)
The problem is that x, y, and z all should have the same shape (or at
least I assume from the simple3d.py example). But in what's above, x
and y have a shape of (100,), and z has a shape of (100,100). What
should I do instead?
I'm more than happy to share all the source code if that would be
instructive. Thanks.
-Tom