# Python – Cost computation using Frequency and Price dictionary

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 ``=` `0` `for` `key ``in` `test_dict: ` `     `  `    ``# computing summation of product ` `    ``res ``=` `res ``+` `(test_dict[key] ``*` `cost_dict[key]) ` `     `  `# printing result  ` `print``(``"The extracted summation : "` `+` `str``(res))  `

Output

```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))  `

Output

```The original dictionary is : {'Apple': 5, 'Mango': 8, 'Grapes': 10}
The extracted summation : 107
```

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