You need to use numpy.logical_and.
The and and or operators do not work elementwise on arrays to the best
of my understanding. I think it is a limitation on the way logical
operators are applied in python or maybe it is an intentional numpy
limitation. I'm sure others on the list could explain be
Ludwig wrote:
> In pseudo code:
>
> indexes = where(image1 > 0 and image2 > 0 and sigma < quality)
> result[indexes] = i # scalar
>
>
> When I run this numpy tells me that the that the truth value of the array
> comparison is ambiguous -- but I do not want to compare the whole arrays here,
> bu
A bit new to numpy, trying to move over some IDL code.
I have a complex array selection expression, where I need an array of indexes as
a result, so I can use this as a selection expression to apply changes to a
different array.
I have two images, image1 and image2, plus an array sigma, the resul
