Go the the VTK online documentation, there is plenty of python examples. - Dominik Gabriel Gellner wrote:
Could you give a quick example? I would love to have a second way of doing this. . .
Gabriel
On Tue, Jun 26, 2007 at 10:05:23PM +0200, Dominik Szczerba wrote:
I use VTK for this purpose (there are python bindings). - Dominik
Lorenzo Isella wrote:
Dear All, I am posting this after a discussion originated on the matplotlib mailing list. Fundamentally, I need to plot data on irregular (i.e. non equi-spaced rectangular) grids. I finally was recommended to look at the Delaunay package (see approach2 at the link:
http://scipy.org/Cookbook/Matplotlib/Gridding_irregularly_spaced_data ).
The problem is that the approach:
from scipy.sandbox.delaunay import *
does not work (the system does not find the requested module).
Now, I am running Debian testing on my box and I have Python2.3,2.4,2.5 installed beside SciPy as taken from the standard repositories. Under /usr/lib/python2.4/site-packages/scipy/sandbox I have the file setup.py which I copy and paste at the end of the email. I try uncommenting the line dealing with Delaunay, but that did not help me out (probably it is useful only if I am rebuilding SciPy, which I would like to avoid). Anyone has experienced the same problem or has any suggestions? I am really in need to get this working in order to be able to perform some non-trivial data plotting with matplotlib. Many thanks
Lorenzo
import os
def configuration(parent_package='',top_path=None): from numpy.distutils.misc_util import Configuration config = Configuration('sandbox',parent_package,top_path)
sandbox_packages = [] try: sandbox_file = open(os.path.join(config.package_path, 'enabled_packages.txt'), 'rU') except IOError: pass else: for line in sandbox_file: p = line.strip() if line.startswith('#'): continue sandbox_packages.append(p) sandbox_file.close()
for p in sandbox_packages: config.add_subpackage(p)
# All subpackages should be commented out in the version # committed to the repository. This prevents build problems # for people who are not actively working with these # potentially unstable packages.
# You can put a list of modules you want to always enable in the # file 'enabled_packages.txt' in this directory (you'll have to create it). # Since this isn't under version control, it's less likely you'll # check it in and screw other people up :-)
# An example package: #config.add_subpackage('exmplpackage')
# Monte Carlo package #config.add_subpackage('montecarlo')
# PySparse fork with NumPy compatibility #config.add_subpackage('pysparse')
# Robert Kern's corner: #config.add_subpackage('rkern')
# ODRPACK #config.add_subpackage('odr')
# Delaunay triangulation and Natural Neighbor interpolation config.add_subpackage('delaunay')
# Gist-based plotting library for X11 #config.add_subpackage('xplt')
# elementwise numerical expressions #config.add_subpackage('numexpr')
# Statistical models #config.add_subpackage('models')
# Adaptation of Scientific.IO (2.4.9) to use NumPy #config.add_subpackage('netcdf')
# Finite Difference Formulae package #config.add_subpackage('fdfpack')
# Package with useful constants and unit-conversions defined #config.add_subpackage('constants')
# Interpolating between sparse samples #config.add_subpackage('buildgrid')
# Package for Support Vector Machine #config.add_subpackage('svm')
# Package for Gaussian Mixture Models #config.add_subpackage('pyem')
# David Cournapeau's corner: autocorrelation, lpc, lpc residual #config.add_subpackage('cdavid')
# New spline package (based on scipy.interpolate) #config.add_subpackage('spline')
return config
if __name__ == '__main__': from numpy.distutils.core import setup setup(**configuration(top_path='').todict())
_______________________________________________ SciPy-user mailing list SciPy-user@scipy.org http://projects.scipy.org/mailman/listinfo/scipy-user -- Dominik Szczerba, Ph.D. Computer Vision Lab CH-8092 Zurich http://www.vision.ee.ethz.ch/~domi
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-- Dominik Szczerba, Ph.D. Computer Vision Lab CH-8092 Zurich http://www.vision.ee.ethz.ch/~domi