I have a large dataset (e.g., 70 x 500 x 500) and want to interpolate points
(for example to double the size). What it seems I want is:
[]: newx,newy,newz=mgrid[1:70:0.5,1:500:0.5,1:500:0.5]
[]: coords = array([newz, newy, newx])
[]: dout = np.map_coordinates(d, coords)
The problem is that mgri
t changing the
order?
Thanks for the help.
Ryan May-3 wrote:
>
> On Tue, May 12, 2009 at 2:51 PM, brechmos wrote:
>
>> So, in Numpy I have to reshape it so the "slices" are in the first
>> dimension. Obviously, I can do a b.transpose( (1,2,0) ) to get it to
>
I am very new to Numpy and relatively new to Python. I have used Matlab for
15+ years now. But, I am starting to lean toward using Numpy for all my
work.
One thing that I am not understanding is the order of data when read in from
a file. Let's say I have a 256x256x150 uint16 dataset (MRI, 150