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| Date | Fri, 11 Jan 2013 14:36:57 +0000 |
| From | MRAB <python@mrabarnett.plus.com> |
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| Subject | Re: Multiple disjoint sample sets? |
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On 2013-01-11 14:15, Roy Smith wrote: > I have a list of items. I need to generate n samples of k unique items > each. I not only want each sample set to have no repeats, but I also > want to make sure the sets are disjoint (i.e. no item repeated between > sets). > > random.sample(items, k) will satisfy the first constraint, but not the > second. Should I just do random.sample(items, k*n), and then split the > resulting big list into n pieces? Or is there some more efficient way? > > Typical values: > > len(items) = 5,000,000 > n = 10 > k = 100,000 > I don't know how efficient it would be, but couldn't you shuffle the list and then use slicing to get the samples?
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Multiple disjoint sample sets? Roy Smith <roy@panix.com> - 2013-01-11 09:15 -0500 Re: Multiple disjoint sample sets? MRAB <python@mrabarnett.plus.com> - 2013-01-11 14:36 +0000 Re: Multiple disjoint sample sets? Dave Angel <d@davea.name> - 2013-01-11 10:14 -0500 Re: Multiple disjoint sample sets? Peter Otten <__peter__@web.de> - 2013-01-13 11:16 +0100
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