Corresponding scores based on edges of a graph

Question

import numpy as np

score = np.array([
    [0.9, 0.7, 0.2, 0.6, 0.4],
    [0.7, 0.9, 0.6, 0.8, 0.3],
    [0.2, 0.6, 0.9, 0.4, 0.7],
    [0.6, 0.8, 0.4, 0.9, 0.3],
           


        

Answer 1

We could convert the list of tuples holding the indices to array and then use slicing or tuple packed ones.

So, convert to array :

l2_arr = np.asarray(l2)-1

Then, one way would be -

score[l2_arr[:,0], l2_arr[:,1]]

Another -

score[tuple(l2_arr.T)]

For completeness, here's one using a loop-comprehension to extract the row, column indices and thus avoiding any array conversion -

score[[i[0]-1 for i in l2], [i[1]-1 for i in l2]]