[SciPy-user] How to draw a 3D graphic of a function?
Johann Cohen-Tanugi
cohen@slac.stanford....
Tue Apr 15 03:02:29 CDT 2008
I think that the whole 3D part of matplotlib is now broken. There are
discussions but not a lot of work yet as to how to get this
functionnality back. Might be via VTK....
best,
J.
James A. Bednar wrote:
> | 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 [3]: from matplotlib import axes3d
> | ---------------------------------------------------------------------------
> | ImportError Traceback (most recent call last)
> |
> | /Users/Josh/<ipython console> in <module>()
> |
> | /Library/Frameworks/Python.framework/Versions/2.5/lib/python2.5/site-packages/matplotlib/axes3d.py
> | in <module>()
> | 14 from axes import Axes
> | 15 import cbook
> | ---> 16 from transforms import unit_bbox
> | 17
> | 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.
>
> Jim
>
> | On Sun, Apr 13, 2008 at 12:22 AM, James A. Bednar <jbednar@inf.ed.ac.uk> wrote:
> | > | Date: Fri, 11 Apr 2008 15:02:03 +0200
> | > | From: Gael Varoquaux <gael.varoquaux@normalesup.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
> | > | 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 <jh@physics.ucf.edu>
> | > |
> | > | 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]]))
> | >
> | >
> | > --
> | > The University of Edinburgh is a charitable body, registered in
> | > Scotland, with registration number SC005336.
> | >
> | >
> | >
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> | >
>
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