Sumitava Mukherjee <sm...@cognobytes.com> writes: > On May 26, 11:39 pm, Sumitava Mukherjee <sm...@cognobytes.com> wrote: >> Hi all, >> I need to randomly sample from a list where all choices have weights >> attached to them. The probability of them being choosen is dependent >> on the weights. >> If say Sample list of choices are [A,B,C,D,E] and weights of the same >> are [0.895,0.567,0.765,0.890,0.60] when I draw (say 2) samples then I >> want the likeliness of them being chosen be in the order : D>A>C>E>B
You mean A > D > C > E > B >> In short I mean if prob of a H is .9 and probability of T be 0.1 then >> if I draw 10 samples, 9 should be H and 1 should be T. >> >> I coudn't find a function in the module random that does so. >> Please can someone guide me how the above could be implemented [either >> through some function which exists and I don't know or pointers to >> some code snippets which does so]? > >>>>> [Oh, I forgot to mention. I am looking for sampling without replacement.] If you do sampling without replacement, you need to know the exact number of each of A, B, C, D, E in the sample, not just their relative frequency. -- Arnaud -- http://mail.python.org/mailman/listinfo/python-list
