![]() If you want to restore the original order, use sorted(set(perm)), since permutations returns in lexicographical order (if your original string was in sorted order). This may result in a different order to the printout. You could do this: from itertools import permutations (Perhaps call it multinomial though that word refers to a number, not the actual lists.) An easier way, perhaps slower in execution and memory usage but much faster in programming, is to use permutations and Python's set to remove the duplicates. ![]() You could get what you want by coding your own equivalent function to permutations but that would take a while to code and debug. The number of the results you want is called the multinomial coefficient for 4 values, 2 equal and 2 others equal. This means that though the two As look equal to you, itertools treats them as if they are not equal, since they have different positions in the original string. Leverage itertools.permutations to unleash the power of Pythonic elegance from itertools import permutationsdef allpermutations (s): return ''. The documentation for permutations() states:Įlements are treated as unique based on their position, not on their value. My Take: When it comes to permutations, Python’s standard library comes to the rescue. The output is an iterator, so if we want to use the permutations multiple times, we should convert the iterator into a list first.There is no direct way to do that in itertools. The itertools.permutations method can be used to generate all possible permutations of a given list of items in Python. # Now we can iterate over permutations multiple times Permutations = list(itertools.permutations(items)) If we want to use the permutations multiple times, we should convert the iterator to a list: Note that the itertools.permutations method returns an iterator, so we can only iterate over the permutations once. We can iterate over the permutations using a for loop and print each permutation. We then use the itertools.permutations method to generate all possible permutations of the items. In the code above, we import the itertools module and create a list of items that we want to permute. Permutations = itertools.permutations(items) You can use itertools.permutations to generate permutations in Python in the following way: ![]() We will also discuss how to convert an iterator returned by this method into a list for multiple uses. In this blog post, we will look at how to use the itertools.permutations method in Python to do so. ![]() Using the itertools module, we can generate all possible permutations of a given list of items. We all have heard and studied the permutation concept in mathematics, likewise, Python supports some built-in functions to generate permutations of a list. It turns out that when it pops the element of curr, the sub-list of res will also be popped.
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