Change iteration rate on itertools
I have this iteration count using iter tools:
itertools
How do I use itertools.groupby()?
I haven’t been able to find an understandable explanation of how to actually use Python’s itertools.groupby() function. What I’m trying to do is this:
permutations with unique values
itertools.permutations generates where its elements are treated as unique based on their position, not on their value. So basically I want to avoid duplicates like this:
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.
itertools product speed up
I use itertools.product to generate all possible variations of 4 elements of length 13. The 4 and 13 can be arbitrary, but as it is, I get 4^13 results, which is a lot. I need the result as a Numpy array and currently do the following:
Powersets in Python using itertools
I’m trying to create a powerset in Python 3. I found a reference to the itertools
module, and I’ve used the powerset code provided on that page. The problem: the code returns a reference to an itertools.chain object, whereas I want access to the elements in the powerset. My question: how to accomplish this?
importing izip from itertools module gives NameError in Python 3.x
I am trying to import the izip module like so:
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:
itertools.groupby() not grouping correctly
I have this data: