# Python | Group list elements based on frequency

Given a list of elements, write a Python program to group list elements and their respective frequency within a tuple.

Examples:

```Input : [1, 3, 4, 4, 1, 5, 3, 1]
Output : [(1, 3), (3, 2), (4, 2), (5, 1)]

Input : ['x', 'a', 'x', 'y', 'a', 'x']
Output : [('x', 3), ('a', 2), ('y', 1)]
```

Method #1 : List comprehension

We can use list comprehension to form tuples of each element and the count of its occurrence and store it in ‘res’, but that will contain the duplicate first element. Thus, to remove the duplicate first element, we use `OrderedDict(res).items()`.

 `# Python3 program to Grouping list  ` `# elements based on frequency ` `from` `collections ``import` `OrderedDict  ` ` `  `def` `group_list(lst): ` `     `  `    ``res ``=`  `[(el, lst.count(el)) ``for` `el ``in` `lst] ` `    ``return` `list``(OrderedDict(res).items()) ` `     `  `# Driver code ` `lst ``=` `[``1``, ``3``, ``4``, ``4``, ``1``, ``5``, ``3``, ``1``] ` `print``(group_list(lst)) `

Output:

```[(1, 3), (3, 2), (4, 2), (5, 1)]
```

Method #2 : Using `collections.Counter()`

`collections.Counter()` provides two direct methods `keys()` and `values()` that provides the elements and its occurrences. At last, zip them together using Python `zip()` method.

 `# Python3 program to Grouping list  ` `# elements based on frequency ` `from` `collections ``import` `Counter ` ` `  `def` `group_list(lst): ` `     `  `    ``return` `list``(``zip``(Counter(lst).keys(), Counter(lst).values())) ` `     `  `# Driver code ` `lst ``=` `[``1``, ``3``, ``4``, ``4``, ``1``, ``5``, ``3``, ``1``] ` `print``(group_list(lst)) `

Output:

```[(1, 3), (3, 2), (4, 2), (5, 1)]
```

My Personal Notes arrow_drop_up 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.