Python | Percentage similarity of lists

Sometimes, while working with Python list, we have a problem in which we need to find how much a list is similar to other list. The similarity quotient of both the list is what is required in many scenarios we might have. Let’s discuss a way in which this task can be performed.

Method : Using "|" operator + "&" operator + set()
The method which is formally applied to calculate the similarity among lists is finding the distinct elements and also common elements and computing it’s quotient. The result is then multiplied by 100, to get the percentage.

# Python3 code to demonstrate working of
# Percentage similarity of lists
# using "|" operator + "&" operator + set()

# initialize lists
test_list1 = [1, 4, 6, 8, 9, 10, 7]
test_list2 = [7, 11, 12, 8, 9]

# printing original lists
print("The original list 1 is : " + str(test_list1))
print("The original list 2 is : " + str(test_list2))

# Percentage similarity of lists
# using "|" operator + "&" operator + set()
res = len(set(test_list1) & set(test_list2)) / float(len(set(test_list1) | set(test_list2))) * 100

# printing result
print("Percentage similarity among lists is : " + str(res))

Output :

The original list 1 is : [1, 4, 6, 8, 9, 10, 7]
The original list 2 is : [7, 11, 12, 8, 9]
Percentage similarity among lists is : 33.33333333333333

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