List comprehension with different depth dictionaries

Question

I have two dictionaries with the following structure:

1. Quantity[week][day][time]
2. Cost[day][time]

The goal is to multiply over a list comprehension the quantity * cost and then sum it. The Cost is the same for all weeks, however, the quantity will vary from week to week. Before adding the week to the first dictionary I had the following:

sum([Cost[day][time]*Quantity[day][time] for day,time in zip(df,tf)])

And it works as intended.
Is there a way to achieve the same with list comprehension now that the Quantity dictionary has one more level?

Edit

I want to have a different result for each week. It should be
sum(week1)+sum(week2)+...+sum(weekn)

Answer 1

Just add a week variable like so:

[sum(cost[day][time]*q[week][day][time] for day,time in zip(df,tf)) for week in wf]

Here is an example with an output:

q = {'week1': {'day1': {'time1': 21, 
                        'time2': 30}, 
               'day2': {'time1': 21, 
                        'time2': 40}}, 
     'week2': {'day1': {'time1': 22, 
                        'time2': 9}, 
               'day2': {'time1': 23, 
                        'time2': 24}}}

cost = {'day1': {'time1': 21, 
                'time2': 24}, 
        'day2': {'time1': 22, 
                 'time2': 23}}

wf = ['week1', 'week2']
df = ['day1', 'day2']
tf = ['time1', 'time2']

output = [sum(cost[day][time]*q[week][day][time] for day,time in zip(df,tf)) for week in wf]

print(output)

Output:

[1361, 1014]

The output is a list of the sum for each week so the 'week1' sum is 1361 and the 'week2' sum is 1014.