calculate sum of product between values in a dictionary and the other nested dictionary

Question

I want to calculate the sum of product between values of dictionary A and the values in nested dictionary B. To be specific,

Dict_A = {'Apple': 0.909, 'Pear': 0.091}
Dict_B = {'Egg': {'a': 0.69, 'b': 0.31},'Bread': {'a': 0.96, 'c': 0.04}}

Apple corresponds with Egg, Pear corresponds with Bread.

I hope to multiply Apple by a and b in Egg, and multiply Pear by a and c in Bread, and finally, I hope to find the sum of same a, b, and c. So the output should be:

OUTPUT = {'a': 0.717, 'b': 0.279, 'c': 0.004}
*where:
a = 0.909*0.69 + 0.091*0.96
b = 0.909*0.31
c = 0.091*0.04

I referred to a relevant question in this link: how to calculate percentage with nested dictionary , which both aim to solve questions about the nested dictionary. But I'm still struggling with how to connect series, dictionaries, and DataFrame to more conveniently compute the sum of products.

Answer 1

I think this should do the trick:

result_dic = {}
for x in zip(Dict_A.items(), Dict_B.items()):
    coef = x[0][1]
    for k, v in x[1][1].items():
        if k not in result_dic:
            result_dic[k] = v*coef
        else:
            result_dic[k] += v*coef

print({key: round(result_dic[key], 3) for key in result_dic})