Given price and frequency dictionary, compute total cost of products, i.e by summing the product of price and frequency of each item.
Input : test_dict = {“Apple” : 2, “Mango” : 2, “Grapes” : 2}, {“Apple” : 2, “Mango” : 2, “Grapes” : 2}
Output : 12
Explanation : (2*2) + (2*2) + (2*2) = 12.Input : test_dict = {“Apple” : 3, “Mango” : 2, “Grapes” : 3}, {“Apple” : 2, “Mango” : 2, “Grapes” : 2}
Output : 16
Explanation : The summation of product leads to 16 as above.
Method #1 : Using loop
This is brute way in which this task can be performed. In this, we iterate through all the keys and multiply the frequency of each element by its cost and keep performing intermediate summation.
Python3
# Python3 code to demonstrate working of # Cost computation using Frequency and Price dictionary # Using loop # initializing dictionary test_dict = {"Apple" : 5, "Mango" : 8, "Grapes" : 10} # printing original dictionary print("The original dictionary is : " + str(test_dict)) # initializing Frequency dict cost_dict = {"Apple" : 3, "Mango" : 4, "Grapes" : 6} res = 0for key in test_dict: # computing summation of product res = res + (test_dict[key] * cost_dict[key]) # printing result print("The extracted summation : " + str(res)) |
The original dictionary is : {'Apple': 5, 'Mango': 8, 'Grapes': 10}
The extracted summation : 107
Method #2 : Using sum() + list comprehension
The combination of these functionalities provide a shorthand to solve this problem. In this, we perform summation using sum() and list comprehension is used to compile result and iterate.
Python3
# Python3 code to demonstrate working of # Cost computation using Frequency and Price dictionary # Using sum() + list comprehension # initializing dictionary test_dict = {"Apple" : 5, "Mango" : 8, "Grapes" : 10} # printing original dictionary print("The original dictionary is : " + str(test_dict)) # initializing Frequency dict cost_dict = {"Apple" : 3, "Mango" : 4, "Grapes" : 6} # using list comprehension and sum() to provide one-liner res = sum([cost_dict[key] * test_dict[key] for key in test_dict]) # printing result print("The extracted summation : " + str(res)) |
The original dictionary is : {'Apple': 5, 'Mango': 8, 'Grapes': 10}
The extracted summation : 107
