matplotlib-users Mailing List for matplotlib

I would like to propose expanding the inputs of pcolor to take 
vectors. Often, you have x and y independent (seperable), and you 
don't want to go on constructing an x array of redundant values. 
Actually, in NumPy it is not straightforward to do this with resize 
if your variable is in the first dimension like time (well, there is 
meshgrid, but you would only use it for plotting, and with two 
vectors -- see below). Since NumPy makes such heavy use of array 
broadcasting, it is not necessary.
I think MPL should follow the spirit of array broadcasting, and make 
it such that:
x = arange(10)
y = arange(30)
z = rand(30,10)
pcolor (x, y, z)
will work as expected. Perhaps, we could require a NewAxis in the 
right places, but it would also make sense without. You should also 
be able to send in just one vector. Consider
x,y = meshgrid(arange(10), arange(30))
y = y + random.normal(size=y.shape)
z = random.random(y.shape)
pcolor (x, y, z)
% but x is still essentially just arange(10)
pcolor(arange(10), y, z)
What do you all think?
-Rob.
-----
Rob Hetland, Assistant Professor
Dept of Oceanography, Texas A&M University
p: 979-458-0096, f: 979-845-6331
e: he...@ta..., w: http://pong.tamu.edu

are there any commercial or popular open source projects using matplotlib?
thanks,
bryan

Hi all, I am working on a UI design, and I just found out about matplotlib. I 
would like to learn if some of the following graphs are possible using 
matplotlib with wxPython (to see if anyone has done something similar). Here is 
a mockup with some graphs we'd like to have.
http://www.geocities.com/belred1/image1.jpg
Does anyone know if matplotlib has rich charting functionality with gradients 
and shading that could provide the same experience as the performance charts on 
the right. How difficult would this be to implement?
Thanks,
Bryan