try this:
list = numpy.array([0.66877509, 0.58785363, 0.32387598, 0.16877509,
0.48785363,
0.22387598, 0.96877509, 0.18785363, 0.52387598])
Pete
2008/8/8 stuartornum <[EMAIL PROTECTED]>
>
> Thanks again Pete for your help.
>
> I have numpy imported, and here is what my code looks like:
>
> #
rand() produces a numpy array, so long as numpy is imported into the
namespace.
I was simply using the random numbers as example data.
In your case you would take your 1x100 vector of heat data and re-shape it
to a 10x10 array. data=data.reshape(10,10)
Pete
2008/8/8 stuartornum <[EMAIL PROTEC
Someone more knowlegeable than me may corrct me here, but the code for
getting your data into a grid could be greatly simplified to:
X = array([0,1,2,3,4,5,6,7,8,9,])
Y = array([0,1,2,3,4,5,6,7,8,9,])
Z = ListValues.reshape(10,10)
than you could use something like imshow() to show the data withou
No michael, that is what I was suggesting. Shame it doesn't work.
I'm looking at using Enthoughts Chaco to do it. It's takes a bit more to get
it doing what I want though, and I don't know if it does alpha transparency
at all.
Thanks for your help.
Pete
2008/8/6 Michael Droettboom <[EMAIL PROTE
