Stephen Thanks for the help. The format of the data is

> ASCII files and/or Python arrays that contain (x, y)

> coordinates or (x, y, z) coordinates for 3D.

> For starters, what is best way to plot triples in this

> list?...

> [ (0, 0, 3.3), (0, 1, 4.4), (1, 0, 2.2), (1, 1, 2.34)]

> I want to duplicate color plot on screenshots page:

> http://matplotlib.sourceforge.net/screenshots/pcolor_demo_large.png

You have a 2x2 grid. pcolor is a bit funny in that for an MxN grid it

only plots M-1 x N-1 rectangles since it doesn't know how to handle

the edges. So it's a bit of a pathalogical case for pcolor.

Basically you need to transform your list of 3 tuples into 3 arrays

x,y,z, and then reshape the array. Here I'll use imshow which

doesn't have the edge problem

from matplotlib.matlab import *

data = [ (0, 0, 3.3), (0, 1, 4.4), (1, 0, 2.2), (1, 1, 2.34)]

x,y,z = zip(*data)

z = array(z); z.shape = 2,2

imshow(z, interpolation='nearest', extent=(0,1,0,1))

show()

If you had a longer data sequence, say 5x5, you would use pcolor like

from matplotlib.matlab import *

data = ....

x,y,z = zip(*data)

x = array(x); x.shape = 5,5

y = array(y); y.shape = 5,5

z = array(z); z.shape = 5,5

pcolor(x,y,z)

show()

In short, there is nothing special about plotting "data" versus

"functions". Both are simply cases of plotting 1-D or 2-D arrays as

far as matplotlib is concerned. Your task is to get your data in to

the right array shape.

JDH