Transform Pandas str objects into numeric values

Question

How do I use Python to transform the following string:

[[98 9] [55 16] [9 50] [68 0] [24 1] [80 16]]

in two numerical vector chains (the first string containing the first values:

98 55 9 ...

and the second vector containing the second values:

9, 16, 50 ...

Answer 1

This "string" that refers is actually a list of lists, or can be interpreted as an array as well, to do what you ask, just go through the list, and assign every value in the Dice '0' of each item, in a list, and the index '1' in another, as follows:

lista = [[98, 9], [55, 16], [9, 50], [68, 0], [24, 1], [80, 16]]
a = [] 
b = [] 
for i in lista:
        a.append(i[0])
        b.append(i[1]) 
print(a,'/',b)

The exit will be:

[98, 55, 9, 68, 24, 80] / [9, 16, 50, 0, 1, 16]