and y coordinates. For example the code
> below applies filter only to the values that have x coordinate bigger
> than 0.7 and y coordinate smaller than 0.3:
>
>mask = numpy.logical_and(points[:,0] > 0.7, points[:,1] < 0.3)
>points = numpy.apply_along_axis(filter, axis = 1, ar
Hello,
What is the fastest way of applying a function on a list of 2D points? More
specifically, I have a list of 2D points, and some do not meet some criteria
and must be rejected. Even more specifically, the filter only lets through
points whose x coordinate satisfies some condition, _and_
