# 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
```

My Personal Notes arrow_drop_up Check out this Author's contributed articles.

If you like GeeksforGeeks and would like to contribute, you can also write an article using contribute.geeksforgeeks.org or mail your article to contribute@geeksforgeeks.org. See your article appearing on the GeeksforGeeks main page and help other Geeks.

Please Improve this article if you find anything incorrect by clicking on the "Improve Article" button below.

Article Tags :

Be the First to upvote.

Please write to us at contribute@geeksforgeeks.org to report any issue with the above content.