[SciPy-user] How to draw a 3D graphic of a function?
James A. Bednar
Sun Apr 13 02:22:33 CDT 2008
| Date: Fri, 11 Apr 2008 15:02:03 +0200
| From: Gael Varoquaux <firstname.lastname@example.org>
| On Fri, Apr 11, 2008 at 08:57:50PM +0800, zhang chi wrote:
| > I want to draw a matrix of 100 X 100, its elements are the values of a function.
| I suppose you want to map the value of your matrix to the altitude of a
| You can do this with Mayavi2. Have a look at the user guide,
As shown below, you can also do this with matplotlib, which more
people will probably have installed. There was a suggestion that I add
this to the matplotlib cookbook, but I still haven't gotten a chance
to do so...
| Date: Tue, 02 Oct 2007 04:56:56 -0400
| From: Joe Harrington <email@example.com>
| Or, you could just do it with matplotlib...
| This was the first hit on a google search for "matplotlib surface". I
| tested it and it works in 0.90.1.
Interesting! I couldn't find any documentation at all, but after some
hacking on that script I was able to make matplotlib 0.90.1 plot a
wireframe surface for a 2D numpy array, so I thought it could be
useful to include the code (below).
Note that the original example uses plot_surface instead of
plot_wireframe, but I've found plot_surface to be quite buggy, with
plots disappearing entirely much of the time, while plot_wireframe has
been reliable so far. There is also contour3D, though that doesn't
look very useful yet. Hopefully these 3D plots will all be polished
up a bit and made public in a new matplotlib release soon!
from numpy import outer,arange,cos,sin,ones,zeros,array
from matplotlib import axes3d
fig = pylab.figure()
ax = axes3d.Axes3D(fig)
# Construct matrices for r and c values
rn,cn = mat.shape
c = outer(ones(rn),arange(cn*1.0))
r = outer(arange(rn*1.0),ones(cn))
if title: windowtitle(title)
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