Hello!
I have a problem with a structured numpy array.
I create is like this:
tiles = numpy.zeros((header[width], header[height],3), dtype = numpy.uint8)
and later on, assignments such as this:
tiles[x, y,0] = 3
Now uint8 is not sufficient anymore, but only for the first of the 3 values.
uint16
On 26.12.2011, at 7:37PM, Fabian Dill wrote:
I have a problem with a structured numpy array.
I create is like this:
tiles = numpy.zeros((header[width], header[height],3), dtype =
numpy.uint8)
and later on, assignments such as this:
tiles[x, y,0] = 3
Now uint8 is not sufficient anymore,
tiles = numpy.zeros((header[width], header[height]), dtype =
[(0,u2),(1,|u1),(2,|u1)])
tiles[0][0,0] = 1
that does work now. however it's much slower in assigning and I cannot use
integers for the first index.
As it's now I might as well do:
tiles = [numpy.zeros((header[width],
