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  1. I have the following solution: list1 = ['black','red','yellow'] list2 = ['the','big','black','dog'] list3 = ['the','black','black','dog'] p = set(list1)&set(list2) print(len(p)) It works fine apart from when the second list contains duplicates. i.e. list1 and list2 above returns 1, but so does list1 and list3, when ideally that should return 2.

  2. 20 Ιαν 2011 · >>> from collections import Counter >>> mylist = ["Bob", "Mike", "Bob", "Mike", "Mike", "Mike", "Bob"] >>> Counter(mylist) Counter({'Mike': 4, 'Bob': 3})

  3. Count several repeated objects at once; Create counters with Python’s Counter; Retrieve the most common objects in a counter; Update object counts; Use Counter to facilitate further computations; You’ll also learn about the basics of using Counter as a multiset, which is an additional feature of this class in Python.

  4. Using the Python dictionary is a great way to circumvent the need to write multiple counters. The dictionary’s keys will store the objects you want to count, and the values will hold the frequency of every object’s appearance.

  5. 7 Νοε 2022 · We, as Python developers, may need to develop a piece of code that counts several repeated objects at once. There are different ways to perform this task. However, Python's Counter class from the collections module provides the most efficient and straightforward solution to count individual items in an iterable object.

  6. Counter objects support basic mathematical operations like addition, subtraction, intersection, and union. It can be used to count the occurrence of elements in lists, tuples, sets, and other iterable objects. It can also count the occurrence of characters in a string.

  7. 10 Ιουλ 2024 · The Counter.items () method helps to see the elements of the list along with their respective frequencies in a tuple. Syntax : Counter.items () Parameters : None. Returns : object of class dict.values () Example : Python3.