Efficiently get indices of histogram bins in Python

Question

Short Question

I have a large 10000x10000 elements image, which I bin into a few hundred different sectors/bins. I then need to perform some iterative calculation

Answer 1

One efficient solution is using the numpy_indexed package (disclaimer: I am its author):

import numpy_indexed as npi
npi.group_by(ind).split(vals)