Place N unique elements into all possible K groups with monotonicity maintaining
Can anyone suggest a quick and efficient solution for splitting an array of N elements into K groups with monotonicity maintaining? For example:
combinatorics
How to generate all permutations of a list?
How do you generate all the permutations of a list in Python, independently of the type of elements in that list?
Permutations between two lists of unequal length
I’m having trouble wrapping my head around a algorithm I’m try to implement. I have two lists and want to take particular combinations from the two lists.
Generating permutations with repetitions
I know about itertools, but it seems it can only generate permutations without repetitions.
Generate all permutations of a list without adjacent equal elements
When we sort a list, like
Cartesian product of a dictionary of lists
I’m trying to write some code to test out the Cartesian product of a bunch of input parameters.
N-D version of itertools.combinations in numpy
I would like to implement itertools.combinations for numpy. Based on this discussion, I have a function that works for 1D input: