Generating All Combinations of a List of Lists
When dealing with nested data structures, it becomes essential to manipulate them efficiently. One common task is to retrieve all possible combinations of elements across multiple lists.
For Python developers, the itertools.product function provides a concise and elegant solution to this problem. It takes multiple iterables as arguments and generates tuples representing all possible combinations of elements from each iterable.
Answer:
To generate all combinations of elements in a list of lists, use itertools.product as follows:
import itertools my_list = [[1, 2, 3], [4, 5, 6], [7, 8, 9, 10]] result = list(itertools.product(*my_list))
This will produce a list of tuples, each representing a unique combination of elements from the input lists.
Example Output:
[(1, 4, 7), (1, 4, 8), (1, 4, 9), (1, 4, 10), (1, 5, 7), (1, 5, 8), (1, 5, 9), (1, 5, 10), (1, 6, 7), (1, 6, 8), (1, 6, 9), (1, 6, 10), (2, 4, 7), (2, 4, 8), (2, 4, 9), (2, 4, 10), (2, 5, 7), (2, 5, 8), (2, 5, 9), (2, 5, 10), (2, 6, 7), (2, 6, 8), (2, 6, 9), (2, 6, 10), (3, 4, 7), (3, 4, 8), (3, 4, 9), (3, 4, 10), (3, 5, 7), (3, 5, 8), (3, 5, 9), (3, 5, 10), (3, 6, 7), (3, 6, 8), (3, 6, 9), (3, 6, 10)]
Using itertools.product is a convenient and efficient way to generate all possible combinations of elements from complex data structures in Python.
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