Pablo,
I found the example on the svn
<http://matplotlib.svn.sourceforge.net/viewvc/matplotlib/trunk/matplotlib/examples/mplot3d/surface3d_demo3.py?view=log>
http://matplotlib.svn.sourceforge.net/viewvc/matplotlib/trunk/matplotlib/examples/mplot3d/surface3d_demo3.py?view=log
it will demonstrate the face colour thing but personally I found getting the
rgb tuple data into an array a bit too complicated for my needs.
Regarding that little SNAFU about the matrix size, I was half asleep and in a
rush when I wrote the reply to your email, so I knew if I made a mistake it was
in the interpretation there :D
A slice, reshape function may be more efficient/ easier to read but I took
the loop structure right from the plot surface command to make sure it was
done exactly the same way as the 3d surface. It may be interesting to see which
is more efficient computationally and see if there is an improvement to be
made in the plot surface command
From: Pablo Angulo [mailto:pablo.ang...@uam.es]
Sent: June-16-10 9:07 AM
To: Mike Alger
Cc: matplotlib-users@lists.sourceforge.net
Subject: Re: [Matplotlib-users] color in plot3d
El 15/06/10 01:22, Mike Alger escribió:
The way that color keyword is set up, it is dedsigned to take a color word or
rgba tuple , (Reinier will know this better than me), however if you want to
just assign colors based on a colour map you can take you color array and
reshape the same way the plot surface command does then use surf.set_array()
If I understand you correctly, you mean there is a way to use directly a map
from two or three spatial coordinates into the three or four components of the
color space?
That's interesting. It might be limiting that this map has to factor as the
composition of an scalar map and a color map, even for 2d plots.
here is a snippet of the code I use to do this I am pretty sure it won’t run
the way it is right now but the idea is buried in there
Thanks, I got the idea!
note that regmap xyz and costmapz are all the same size and are nxm matrices
costmapout is a 2x(m.n) if i can do the math correctly
One comment: from your code it seems that costmapout is a 1D array of lenght
roughly equal (m*n)/scale**2 with the data coming from costmapz. Why don't you
use a slice followed by a reshape command?
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