Вы можете использовать zip , чтобы упорядочить свои данные подходящим образом и наполнить свою книгу этим:
animal_book ={}
animal_type=['herbivorous', 'carnivorous']
animal_name=[['Elephant', 'Cow', 'Deer'], ['Tiger', 'Lion', 'Puma']]
animal_quantity=[[1, 2, 3], [4, 5, 6]]
animal_age=[['50','10','5'],['6', '7', '8']]
# zip your data together, extract the typ again, put the remainder into R
for typ, *R in zip(animal_type, animal_name, animal_quantity, animal_age):
# add the typ-list
animal_book.setdefault(typ,[])
# now handle the inner dicts data that have to be added to your lists
# first create tuples for each animal as r
for r in zip(*R):
# then create tuples of (key,value) and make dicts from it
animal_book[typ].append(dict(zip(["name","quantity","age"],r)))
# pretty print it
from pprint import pprint
pprint(animal_book)
Вывод:
{'carnivorous': [{'age': '6', 'name': 'Tiger', 'quantity': 4},
{'age': '7', 'name': 'Lion', 'quantity': 5},
{'age': '8', 'name': 'Puma', 'quantity': 6}],
'herbivorous': [{'age': '50', 'name': 'Elephant', 'quantity': 1},
{'age': '10', 'name': 'Cow', 'quantity': 2},
{'age': '5', 'name': 'Deer', 'quantity': 3}]}
R
выглядит так:
[['Elephant', 'Cow', 'Deer'], [1, 2, 3], ['50', '10', '5']]
[['Tiger', 'Lion', 'Puma'], [4, 5, 6], ['6', '7', '8']]
и r
выглядит так:
('Elephant', 1, '50')
('Cow', 2, '10')
('Deer', 3, '5')
('Tiger', 4, '6')
('Lion', 5, '7')
('Puma', 6, '8')
и zip(["name","quantity","age"],r)
выглядит примерно так:
[('name', 'Elephant'), ('quantity', 1), ('age', '50')]
[('name', 'Cow'), ('quantity', 2), ('age', '10')]
[('name', 'Deer'), ('quantity', 3), ('age', '5')]
[('name', 'Tiger'), ('quantity', 4), ('age', '6')]
[('name', 'Lion'), ('quantity', 5), ('age', '7')]
[('name', 'Puma'), ('quantity', 6), ('age', '8')]