Sum different lists from dictionaries PYTHON -

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i have data structure. list of 4 dictionaries each 4 keys , 3 values in list. 

 dict_list = [0]  {key1: [1, 2, 3]                    key2: [4, 5, 6]                    key3: [7, 8, 9]                    key4: [10, 11, 12]               [1]  {key1: [13.......]                    key2: [16... etc.

i want sum each sub column [1, 4, 7, 10]....[2,5,8,11] etc. form

 new_dict_list = [0] {new_key: [(1+4+7+10), (2,5,8,11), (3,6,9,12)]                  [1] {new_key2: [(13+16....) etc.

so i'm cascading each column within each dictionary.

i have explicit , long way far (checking math correct), there way use list comprehensions long-winded or not worth effort in end?

use zip group [1, 4, 7, 10]....[2,5,8,11]:

>>> d = dict_list[0] >>> zip(*d.values()) [(7, 4, 1, 10), (8, 5, 2, 11), (9, 6, 3, 12)]

use map generate new list:

>>> map(sum, zip(*d.values())) [22, 26, 30]

if using python3.x, need list(map...) list.


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