On Sat, Mar 14, 2009 at 8:23 AM, Jeff Whitaker <jsw...@fastmail.fm> wrote:
> Timothée Lecomte wrote:
> > Jeff Whitaker wrote:
> >> Jeff Whitaker wrote:
> >>> Timothée Lecomte wrote:
> >>>> Dear all,
> >>>>
> >>>> I am using matplotlib with a great pleasure, and I enjoy its
> >>>> capabilities.
> >>>> I have recently attended a conference where the invited speaker
> >>>> showed great visualizations of arrays from both experiments and
> >>>> simulations. His plots were basically looking like those produced
> >>>> by imshow, that is a luminance array rendered as a colormap image,
> >>>> but with the additionnal use of a shading, which gives a really
> >>>> great feeling to the image. You can feel the height of each part of
> >>>> the image.
> >>>>
> >>>> I have tried to find what software could have produced such a plot,
> >>>> and found the ReliefPlot function of Mathematica, which has
> >>>> precisely this purpose : rendering a colormap image from an array
> >>>> with a shading to give the perception of relief.
> >>>>
> >>>> The documentation and its examples are self-explanatory :
> >>>> http://reference.wolfram.com/mathematica/ref/ReliefPlot.html
> >>>> (look in particular at the first "neat example" at the bottom of
> >>>> that page)
> >>>>
> >>>> The two "live" demonstrations illustrate this plot style quite well
> >>>> too :
> >>>> http://demonstrations.wolfram.com/ReliefShadedElevationMap/
> >>>> http://demonstrations.wolfram.com/VoronoiImage/
> >>>>
> >>>> So here are my questions :
> >>>> Is there a trick to generate an image with such a shading in
> >>>> matplotlib ?
> >>>> If not, do you know of a python tool that could help ?
> >>>> Where could I start if I want to code it myself in matplotlib ?
> >>>>
> >>>> Thanks for your help.
> >>>>
> >>>> Best regards,
> >>>>
> >>>> Timothée Lecomte
> >>>>
> >>>>
> >>>
> >>> Timothée: There is nothing built-in, but it would be a nice thing
> >>> to have. Here's a proof-of-concept hack that follows the approach
> >>> used in the Generic Mapping Tools (explained here
> >>> http://www.seismo.ethz.ch/gmt/doc/html/tutorial/node70.html), with
> >>> some code borrowed from http://www.langarson.com.au/blog/?p=14.
> >>> It's very rough, but if it looks promising to you I can try to
> >>> polish it.
> >>>
> >>> -Jeff
> >>
> >> Found a bug, here's a fixed version.
> >>
> >> -Jeff
> >>
> > Hi Jeff,
> >
> > Sure it looks promising ! The example you provided is very nice. I
> > will try on my own data on Monday, and I'll let you know if it gives a
> > good result too. Thank you very much for that very fast hack !
> >
> > Best regards,
> >
> > Timothée
> >
> >
> Timothée: I've added this capability in svn, along with an example
> (shading_example.py) to show how to use it. Thanks for suggesting it.
>
That looks awesome. Very nice work, Jeff.
Ryan
--
Ryan May
Graduate Research Assistant
School of Meteorology
University of Oklahoma
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