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.
-Jeff ------------------------------------------------------------------------------ Apps built with the Adobe(R) Flex(R) framework and Flex Builder(TM) are powering Web 2.0 with engaging, cross-platform capabilities. Quickly and easily build your RIAs with Flex Builder, the Eclipse(TM)based development software that enables intelligent coding and step-through debugging. Download the free 60 day trial. http://p.sf.net/sfu/www-adobe-com _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
