Here's a more Pythonic version of the straightforward iterative solution:
def find_nth(haystack, needle, n):
start = haystack.find(needle)
while start >= 0 and n > 1:
start = haystack.find(needle, start+len(needle))
n -= 1
return start
Example:
>>> find_nth("foofoofoofoo", "foofoo", 2)
6
If you want to find the nth overlapping occurrence of needle
, you can increment by 1
instead of len(needle)
, like this:
def find_nth_overlapping(haystack, needle, n):
start = haystack.find(needle)
while start >= 0 and n > 1:
start = haystack.find(needle, start+1)
n -= 1
return start
Example:
>>> find_nth_overlapping("foofoofoofoo", "foofoo", 2)
3
This is easier to read than Mark's version, and it doesn't require the extra memory of the splitting version or importing regular expression module. It also adheres to a few of the rules in the Zen of python, unlike the various re
approaches:
- Simple is better than complex.
- Flat is better than nested.
- Readability counts.