[SciPy-user] How to draw a 3D graphic of a function?
James A. Bednar
Tue Apr 15 01:51:46 CDT 2008
| From: Joshua Lippai
| Date: Apr 14 10:27:52 2008 -0700
| I can't import matplotlib.axes3d using a 0.98pre SVN build. Here's my output:
| In : from matplotlib import axes3d
| ImportError Traceback (most recent call last)
| /Users/Josh/<ipython console> in <module>()
| in <module>()
| 14 from axes import Axes
| 15 import cbook
| ---> 16 from transforms import unit_bbox
| 18 import numpy as npy
| ImportError: cannot import name unit_bbox
That sounds like something to report to the matplotlib list. I just
checked on the latest released version of matplotlib (0.91.2), and it
still works on that version.
| On Sun, Apr 13, 2008 at 12:22 AM, James A. Bednar <firstname.lastname@example.org> wrote:
| > | Date: Fri, 11 Apr 2008 15:02:03 +0200
| > | From: Gael Varoquaux <email@example.com>
| > |
| > | 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
| > | surface?
| > |
| > | 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...
| > Jim
| > | Date: Tue, 02 Oct 2007 04:56:56 -0400
| > | From: Joe Harrington <firstname.lastname@example.org>
| > |
| > | Or, you could just do it with matplotlib...
| > |
| > | http://physicsmajor.wordpress.com/2007/04/22/3d-surface-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!
| > Jim
| > _______________________________________________________________________________
| > import pylab
| > from numpy import outer,arange,cos,sin,ones,zeros,array
| > from matplotlib import axes3d
| > def matrixplot3d(mat,title=None):
| > 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))
| > ax.plot_wireframe(r,c,mat)
| > ax.set_xlabel('R')
| > ax.set_ylabel('C')
| > ax.set_zlabel('Value')
| > if title: windowtitle(title)
| > pylab.show()
| > matrixplot3d(array([[0.1,0.5,0.9],[0.2,0.1,0.0]]))
| > --
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