I have a numpy array, filtered__rows
, comprised of LAS data [x, y, z, intensity, classification]
. I have created a cKDTree
of points and have found nearest neighbors, query_ball_point
, which is a list of indices for the point and its neighbors.
Is there a way to filter filtered__rows
to create an array of only points whose index is in the list returned by query_ball_point
?
It looks like you just need a basic integer array indexing:
filter_indices = [1,3,5]
np.array([11,13,155,22,0xff,32,56,88])[filter_indices]