[SciPy-User] ANN: visvis
Martin van Leeuwen
Tue Dec 1 18:39:29 CST 2009
That is great news. I have used Mayavi quite a bit for working with 3D point
clouds. It works very good, but as I am working a lot on these point clouds,
I am always interested in other options.
I am wondering in what way Visvis is different. Are there export functions
to IDL? Or Constructive Solid Geometry functions/ways to incorporate these?
2009/12/1 Almar Klein <email@example.com>
> Hi Giovanni,
> Thanks for your interesting question.
> > This is interesting; but which are the differences with matplotlib/pylab?
> > Can you make some examples of functions that are available with vv and
> > more difficult to implement with matplotlib?
> > I am preparing a seminar on how to plot data with python and I am
> > in adding references to new alternatives.
> The advantage of visvis over matplotlib is that it can plot 3D data.
> These can be 3D
> lines and points or 3D rendering of volumetric data (for example CT
> data). Also,
> because it uses OpenGl, displaying images, and zooming/panning them is much
> faster in visvis. Visvis is also designed to be extendable. If you
> know a bit of OpenGl
> you can easily create your own world-objects (I call them wobjects)
> and place them
> in a scene with other objects.
> I tried to make visvis a relatively complete visualization library by
> enabling easy
> plotting of high quality, with support for labels, title, legend, etc.
> However, compared
> to matplotlib, visvis 2D plotting capabilities are very limited. I
> plan to extend these a
> bit, by for example providing support for bar plots, but I do not
> intend to go much
> further than that.
> So you might say that visvis is more focussed at 3D visualization, and
> leaves the
> advanced 2D visualization to matplotlib. But there is of course some
> overlap. Another
> thing to note is that both visvis and matplotlib use an object
> oriented structure with a
> functional interface similar to Matlab, which makes the use of both
> libraries very easy
> and intuitive.
> SciPy-User mailing list
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