Time complexity of python set operations?
Solution 1
According to Python wiki: Time complexity, set is implemented as a hash table. So you can expect to lookup/insert/delete in O(1) average. Unless your hash table's load factor is too high, then you face collisions and O(n).
P.S. for some reason they claim O(n) for delete operation which looks like a mistype.
P.P.S. This is true for CPython, pypy is a different story.
Solution 2
The operation in
should be independent from he size of the container, ie. O(1) -- given an optimal hash function. This should be nearly true for Python strings. Hashing strings is always critical, Python should be clever there and thus you can expect near-optimal results.
Solution 3
The other answers do not talk about 2 crucial operations on sets: Unions and intersections. In the worst case, union will take O(n+m) whereas intersection will take O(min(x,y)) provided that there are not many element in the sets with the same hash. A list of time complexities of common operations can be found here: https://wiki.python.org/moin/TimeComplexity
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Stephen Emslie
Updated on January 02, 2022Comments
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Stephen Emslie over 2 years
What is the the time complexity of each of python's set operations in Big O notation?
I am using Python's set type for an operation on a large number of items. I want to know how each operation's performance will be affected by the size of the set. For example, add, and the test for membership:
myset = set() myset.add('foo') 'foo' in myset
Googling around hasn't turned up any resources, but it seems reasonable that the time complexity for Python's set implementation would have been carefully considered.
If it exists, a link to something like this would be great. If nothing like this is out there, then perhaps we can work it out?
Extra marks for finding the time complexity of all set operations.
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Wilduck almost 13 yearsWhile GWW's link is very informative, you can reason about the time complexity of python's sets by understanding that they are simply special cases of python's dictionary (keys, but no values). So, if you know the time complexity of operations on a hash map, you're pretty much there.
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jdhao about 2 yearsThis link may be useful: ics.uci.edu/~pattis/ICS-33/lectures/complexitypython.txt
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Naresh Thakur over 4 yearsSet in python also do auto sorting. So do you think inserting new value is still O(1) time complexity
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Sergey Romanovsky over 4 years@thakurinbox could you support your statement with a link?
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Codeformer almost 3 yearsAuto "ordering" not sorting.
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roufamatic over 2 yearsWow, this was a super helpful answer that just sped up my code by several orders of magnitude, thank you!
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Kelly Bundy about 2 years@NareshThakur "Set in python also do auto sorting." - Not true. You probably just observed a special case.