Given list a, b

a=[[[1.1,-2.1],[-0.6,4.2]],[[3.9,1.3],[-1.3,1.2]]]b=[[-1.1,4.3],[-1.4,2.4]]

If I just want to sum the list [[1.1,-2.1],[-0.6,4.2]] in the list a (not the whole list a) with the list [-1.1,4.3] in list b.

For instance 1.1+(-1.1) then (-2.1)+4.3 and so on. After that store back to an empty list. Can I do this with for loop? In this case, the final output will be[[0, 2.2],[-1.7, 8.5]]

Use:

import numpy as np
c = (np.array(a[0]) + b[0]).tolist()

Output:

>>> c
[[0.0, 2.1999999999999997], [-1.7000000000000002, 8.5]]

Update Using for loop:

 c = []for row in a[0]: c.append([])for x, y in zip(row, b[0]):c[-1].append(x+y)

Update: Using list comprehension

c = [[x + y for x,y in zip(row, b[0])] for row in a[0]]

Output:

>>> c
[[0.0, 2.1999999999999997], [-1.7000000000000002, 8.5]]