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algorithm - Python sort parallel arrays in place?

Is there an easy (meaning without rolling one's own sorting function) way to sort parallel lists without unnecessary copying in Python? For example:

foo = range(5)
bar = range(5, 0, -1)
parallelSort(bar, foo)
print foo # [4,3,2,1,0]
print bar # [1,2,3,4,5]

I've seen the examples using zip but it seems silly to copy all your data from parallel lists to a list of tuples and back again if this can be easily avoided.

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Here's an easy way:

perm = sorted(xrange(len(foo)), key=lambda x:foo[x])

This generates a list of permutations - the value in perm[i] is the index of the ith smallest value in foo. Then, you can access both lists in order:

for p in perm:
  print "%s: %s" % (foo[p], bar[p])

You'd need to benchmark it to find out if it's any more efficient, though - I doubt it makes much of a difference.


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