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| References | <51dfbe9b-f6e0-4532-bc2d-e7ce2fc282b5@googlegroups.com> <mailman.13116.1408398154.18130.python-list@python.org> <3fb3b4d1-a7e2-4912-a878-7d5e1798aee6@googlegroups.com> <CAGGBd_pkisTMGcJ0S7c+eD3JXdSv3rHCwKD_PWb9dx1YQagkfg@mail.gmail.com> |
|---|---|
| From | Ian Kelly <ian.g.kelly@gmail.com> |
| Date | 2014-08-19 18:00 -0600 |
| Subject | Re: efficient partial sort in Python ? |
| Newsgroups | comp.lang.python |
| Message-ID | <mailman.13183.1408492909.18130.python-list@python.org> (permalink) |
On Tue, Aug 19, 2014 at 5:05 PM, Dan Stromberg <drsalists@gmail.com> wrote: > When you use heapq, are you putting all the values in the heap, or > just up to n at a time (evicting the worst value, one at a time as you > go)? If you're doing the former, it's basically a heapsort which > probably won't beat timsort. If you're doing the latter, that should > be pretty good. The latter is what the heapq.nsmallest and heap.nlargest functions do. nsmallest uses a max heap, so the value being evicted is still found at index 0. Curious then if it's performing worse memory-wise than sorted.
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efficient partial sort in Python ? Chiu Hsiang Hsu <wdv4758h@gmail.com> - 2014-08-18 10:18 -0700
Re: efficient partial sort in Python ? Ian Kelly <ian.g.kelly@gmail.com> - 2014-08-18 12:48 -0600
Re: efficient partial sort in Python ? Dan Stromberg <drsalists@gmail.com> - 2014-08-18 14:42 -0700
Re: efficient partial sort in Python ? Chiu Hsiang Hsu <wdv4758h@gmail.com> - 2014-08-19 12:37 -0700
Re: efficient partial sort in Python ? Terry Reedy <tjreedy@udel.edu> - 2014-08-19 18:11 -0400
Re: efficient partial sort in Python ? Dan Stromberg <drsalists@gmail.com> - 2014-08-19 16:05 -0700
Re: efficient partial sort in Python ? Dan Stromberg <drsalists@gmail.com> - 2014-08-19 16:10 -0700
Re: efficient partial sort in Python ? Dan Stromberg <drsalists@gmail.com> - 2014-08-19 16:22 -0700
Re: efficient partial sort in Python ? Ian Kelly <ian.g.kelly@gmail.com> - 2014-08-19 18:00 -0600
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