How to optimize this list result?

Question

I have the following list:
rows= ['Azuay', '10,658', '195', '12', 'Bolívar', '2,111', '66', '12', 'Cañar', '2,110', '83', '7', 'Carchi', '3,053', '104', '1', 'Chimborazo', '2,516', '315', '119', 'Cotopaxi', '4,575', '281', '61', 'El Oro', '6,477', '466', '185', 'Esmeraldas', '4,271', '216', '51', 'Galápagos', '227', '1', '1', 'Guayas', '22,263', '1,737', '1,651', 'Imbabura', '4,773', '170', '7', 'Loja', '6,227', '222', '44', 'Los Ríos', '4,017', '342', '237', 'Manabí', '11,284', '1,025', '1,033', 'Morona Santiago', '3,008', '22', '0', 'Napo', '1,440', '74', '2', 'Orellana', '1,956', '53', '17', 'Pastaza', '2,258', '60', '15', 'Pichincha', '59,477', '1,789', '242', 'Santa Elena', '1,738', '368', '274', 'Santo Domingo de los Tsáchilas', '5,293', '361', '116', 'Sucumbíos', '2,763', '92', '2', 'Tungurahua', '5,119', '276', '223', 'Zamora Chinchipe', '1,580', '53', '1']

I want to convert it to :

[['Azuay', '10,658', '195', '12'],
['Bolívar', '2,111', '66', '12'],
['Cañar', '2,110', '83', '7'],
['Carchi', '3,053', '104', '1'],
['Chimborazo', '2,516', '315', '119'],
['Cotopaxi', '4,575', '281', '61'],
['Esmeraldas', '4,271', '216', '51'],
['Galápagos', '227', '1', '1'],
['Guayas', '22,263', '1,737', '1,651'],
['Imbabura', '4,773', '170', '7'],
['Loja', '6,227', '222', '44'],
['Manabí', '11,284', '1,025', '1,033'],
['Napo', '1,440', '74', '2'],
['Orellana', '1,956', '53', '17'],
['Pastaza', '2,258', '60', '15'],
['Pichincha', '59,477', '1,789', '242'],
['Sucumbíos', '2,763', '92', '2'],
['Tungurahua', '5,119', '276', '223'],
['Zamora Chinchipe', '1,580', '53', '1']]

I am using this code to obtain this result; however, I want to optimize it.

dict_kv=[]
for i in range(0, len(rows)):
if (rows[i].strip().isalpha()):
dict_kv.append([rows[i],rows[i+1],rows[i+2],rows[i+3]])

dict_kv.append([rows[92],rows[93],rows[94],rows[95]]) # This shouldn't be used

pprint(dict_kv)

P.D: Can anyone hel me?

Answer 1

You can write

dict_kv = [list(x) for x in zip(*[iter(rows)]*4)]

to split rows into chunks of 4

Answer 2

https://code.sololearn.com/cdy9PVzJUs3h/?ref=app

Answer 3

Thank you @Volodymyr Chelnokov