Just try something simple

from pylab import *

x,y = meshgrid(linspace(-5,5,101),linspace(0,5,101))

h = y

z = x + complex(0,1)*y

znew = z**0.25 # Doing a simple conformal map

xnew = znew.real

ynew = znew.imag

contourf(xnew,ynew,h,linspace(0,5,10))

axis('scaled')

And you get nice contours in a pieslice-shaped domain with an angle of 45 degrees

Mark

From: "Scott Sinclair" <sinclaird@ukzn.ac.za >

That is very cool, I hadn't thought of it!

So what you're saying is that any transformation (a complex distortion) of a regular rectangular grid is fine. The fact that the grid's 'pixels' are four sided quadrilaterals satisfies this condition and the contour algorithm works...

Cheers,

Scott

>>> "Mark Bakker" <markbak@gmail.com> 7/11/2007 11:36 >>>

Viraj and Jeff -

Maybe one extension of Jeff's answer.

The process works as long as x, y, and z are 2D arrays of the same size and shape.

Hence, x and y don't have to form a rectangular grid.

I have used this feature regularly for conformal mapping.

And it makes a lot of sense.

The contour routine simply looks for intersections between x and y values.

Then when it plots it uses the x and y values in the arrays.

So when those are not a rectangular grid, it doesn't care.

It's a cool feature.

I can give an example if you want,

Mark