I'm a bit late on this topic, but think I can help someone. Show
You can use
Output:
Another example, but changing repeat arguement:
Output: To find the combinations of length r in a Python list, use import itertools combinations = itertools.combinations(list_items, r) To find all the combinations of a Python list, also known as a powerset, follow these steps:
Here is how it looks in the code: import itertools numbers = [1, 2, 3] combinations = [] for r in range(len(numbers)+1): for combination in itertools.combinations(numbers, r): combinations.append(combination) print(combinations) Output: [(), (1,), (2,), (3,), (1, 2), (1, 3), (2, 3), (1, 2, 3)] How to Get All Combinations of Unique Elements in PythonSo you want no duplicate values in the list of all the combinations? No problem. To obtain the unique powerset in Python, convert the list to a set to remove duplicates. Otherwise, use the same approach as above. Here is how the code looks after the change: import itertools numbers = [1, 3, 3] combinations = [] for r in range(len(numbers)+1): for combination in itertools.combinations(set(numbers), r): combinations.append(combination) print(combinations) Now it only returns the combinations where there are no duplicate values: [(), (1,), (3,), (1, 3)] Powerset Recipes—A Simpler and Faster ApproachAs per itertools docs, you can use a slightly simpler and perhaps more efficient approach to get all the combinations of an iterable. Here is the code: from itertools import chain, combinations def powerset(items): l_items = list(items) return chain.from_iterable(combinations(l_items, r) for r in range(len(l_items) + 1)) numbers = [1, 2, 3] print(list(powerset(numbers))) Output: [(), (1,), (2,), (3,), (1, 2), (1, 3), (2, 3), (1, 2, 3)] Powerset Recipes—Find All Combinations of Unique ElementsTo find all the combinations of unique values, you need to make a tiny change to the above Here is how the code looks now with an example call: from itertools import chain, combinations def powerset(items): l_items = list(set(items)) return chain.from_iterable(combinations(l_items, r) for r in range(len(l_items) + 1)) numbers = [3, 1, 3] print(list(powerset(numbers))) Output: [(), (1,), (3,), (1, 3)] ConclusionToday you learned how to obtain all the combinations of a Python list. This group of sets is also known as the powerset of a list. Thanks for reading. I hope you find it useful. Happy coding! Further ReadingPython Tricks and Tips Python Interview Questions Python Advanced Features How do you find the combinations of 4 numbers in Python?“python all possible combinations of 4 numbers” Code Answer's. a=int(input("Enter first number:")). b=int(input("Enter second number:")). c=int(input("Enter third number:")). d. append(a). d. append(b). d. append(c). for i in range(0,3):. How do you get all possible combinations of a set of numbers in Python?Powerset—How to Get All Combinations of a List in Python. Import the built-in itertools module.. Specify a list of items.. Initialize an empty list for storing the combinations.. Create a loop that loops values from 0 to the length of the list + 1.. What are all possible combinations of 4 numbers?There are 10,000 possible combinations that the digits 0-9 can be arranged into to form a four-digit code.
How do you get a list of combinations in Python?Combinations of a List in Python. Use the itertools.combinations() Function to Find the Combinations of a List in Python.. Use the itertools.combinations_with_replacement() Function to Find the Combinations of a List in Python.. Create a User-Defined powerset() Function to Find the Combinations of a List in Python.. |