hi
I want to draw a matrix of 100 X 100, its elements are the values of a function. Is there a package to draw the graphic in scipy? _______________________________________________ SciPy-user mailing list [hidden email] http://projects.scipy.org/mailman/listinfo/scipy-user |
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, https://svn.enthought.com/enthought/attachment/wiki/MayaVi/user_guide.pdf?format=raw section "simple scripting with mlab", or "mlab reference" to see if you find what you want. If you need help installing Mayavi2, give me more details on your platform. Cheers, GaĆ«l _______________________________________________ SciPy-user mailing list [hidden email] http://projects.scipy.org/mailman/listinfo/scipy-user |
In reply to this post by zhang chi
DISLIN (http://www.mps.mpg.de/dislin/) works well for surface plots, and comes with Python wrappers. Free for non-commercial use. I use it to draw surface plots on my curve and fitting web site http://zunzun.com - although I would rather use something else, DISLIN works and I can afford it (free for my use).
James On Fri, Apr 11, 2008 at 7:57 AM, zhang chi <[hidden email]> wrote: hi _______________________________________________ SciPy-user mailing list [hidden email] http://projects.scipy.org/mailman/listinfo/scipy-user |
In reply to this post by zhang chi
Hello,
You could use PIL to write the matrix out as an image and open it in an external viewer (the TIFF format supports 32-bit floating point data, and at least ImageJ can open these files fine), or use matplotlib to plot the matrix as an image, or use Gnuplot / gnuplot.py to display a wireframe/surface view of the matrix. This list is of course very incomplete, and none of the packages are in scipy. No matter though -- most are easy to get and install, and are quite useful. It's certainly worth the time to learn matplotlib and/or Gnuplot. Zach On Apr 11, 2008, at 8:57 AM, zhang chi wrote: > hi > I want to draw a matrix of 100 X 100, its elements are the values > of a function. > > Is there a package to draw the graphic in scipy? > _______________________________________________ > SciPy-user mailing list > [hidden email] > http://projects.scipy.org/mailman/listinfo/scipy-user _______________________________________________ SciPy-user mailing list [hidden email] http://projects.scipy.org/mailman/listinfo/scipy-user |
In reply to this post by zhang chi
I recommend the PyX package, which is great for 2D plotting but can also
handle simple 3D plots as the one you are describing. www.pyx.sourceforge.net/examples/3dgraphs/index.html Cheers, bene Am Freitag, den 11.04.2008, 20:57 +0800 schrieb zhang chi: > hi > I want to draw a matrix of 100 X 100, its elements are the values > of a function. > > Is there a package to draw the graphic in scipy? > _______________________________________________ > SciPy-user mailing list > [hidden email] > http://projects.scipy.org/mailman/listinfo/scipy-user _______________________________________________ SciPy-user mailing list [hidden email] http://projects.scipy.org/mailman/listinfo/scipy-user |
The link should be:
http://pyx.sourceforge.net/examples/3dgraphs/index.html L. On Fri, Apr 11, 2008 at 3:10 PM, BK <[hidden email]> wrote: I recommend the PyX package, which is great for 2D plotting but can also -- Lorenzo Bolla [hidden email] http://lorenzobolla.emurse.com/ _______________________________________________ SciPy-user mailing list [hidden email] http://projects.scipy.org/mailman/listinfo/scipy-user |
In reply to this post by Gael Varoquaux
| Date: Fri, 11 Apr 2008 15:02:03 +0200
| From: Gael Varoquaux <[hidden email]> | | 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 <[hidden email]> | | 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. _______________________________________________ SciPy-user mailing list [hidden email] http://projects.scipy.org/mailman/listinfo/scipy-user |
In reply to this post by zhang chi
On Apr 11, 2008, at 5:57 AM, zhang chi wrote: > hi > I want to draw a matrix of 100 X 100, its elements are the > values of a function. > > Is there a package to draw the graphic in scipy? > The PLplot library http://plplot.sourceforge.net/ is extremely good and easy to use. It is also typically in the 98th or 99th percentile in downloads on sourceforge and the developers are very active with adding new bindings and features. (Don't be put off by the rather dated looking example plots.) Jerry _______________________________________________ SciPy-user mailing list [hidden email] http://projects.scipy.org/mailman/listinfo/scipy-user |
In reply to this post by James A. Bednar
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 On Sun, Apr 13, 2008 at 12:22 AM, James A. Bednar <[hidden email]> wrote: > | Date: Fri, 11 Apr 2008 15:02:03 +0200 > | From: Gael Varoquaux <[hidden email]> > > | > | 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 <[hidden email]> > | > | 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. > > > > _______________________________________________ > SciPy-user mailing list > [hidden email] > http://projects.scipy.org/mailman/listinfo/scipy-user > SciPy-user mailing list [hidden email] http://projects.scipy.org/mailman/listinfo/scipy-user |
| 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 <[hidden email]> wrote: | > | Date: Fri, 11 Apr 2008 15:02:03 +0200 | > | From: Gael Varoquaux <[hidden email]> | > | > | | > | 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 <[hidden email]> | > | | > | 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. | > | > | > | > _______________________________________________ | > SciPy-user mailing list | > [hidden email] | > http://projects.scipy.org/mailman/listinfo/scipy-user | > -- The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. _______________________________________________ SciPy-user mailing list [hidden email] http://projects.scipy.org/mailman/listinfo/scipy-user |
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 <[hidden email]> wrote: > | > | Date: Fri, 11 Apr 2008 15:02:03 +0200 > | > | From: Gael Varoquaux <[hidden email]> > | > > | > | > | > | 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 <[hidden email]> > | > | > | > | 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. > | > > | > > | > > | > _______________________________________________ > | > SciPy-user mailing list > | > [hidden email] > | > http://projects.scipy.org/mailman/listinfo/scipy-user > | > > > SciPy-user mailing list [hidden email] http://projects.scipy.org/mailman/listinfo/scipy-user |
On Tue, Apr 15, 2008 at 10:02 AM, Johann Cohen-Tanugi
<[hidden email]> wrote: > 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.... There is a GSoC application for SymPy to integrating it's nice 3D plotting capabilities to matplotlib. In the meantime, you can try it out ourself, as described here: http://code.google.com/p/sympy/wiki/PlottingModule Ondrej _______________________________________________ SciPy-user mailing list [hidden email] http://projects.scipy.org/mailman/listinfo/scipy-user |
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