New submission from Raymond Hettinger <raymond.hettin...@gmail.com>:
I've seen multiple requests for this and it isn't obvious how to do it with the existing tooling. The example currently given in the recipes section isn't scalable because it involves expanding the population into a big list with repeated elements: sample(['x', 'x', 'x', 'x', 'y', 'y', 'z'], k=5) Example task: Given an urn with 8 red balls, 2 white balls, and 3 green balls, choose ten without replacement: >>> population = ['red', 'blue', 'green'] >>> weights = [ 8, 5, 3 ] >>> sample(population, weights=weights, k=10) ['red', 'green', 'blue', 'red', 'green', 'blue', 'red', 'blue', 'red', 'blue'] I could also add *cum_weights* as an optional optimization but think it best to wait until someone asks for it ;-) ---------- components: Library (Lib) messages: 368307 nosy: rhettinger, tim.peters priority: normal severity: normal status: open title: Add optional weights parameter to random.sample() type: enhancement versions: Python 3.9 _______________________________________ Python tracker <rep...@bugs.python.org> <https://bugs.python.org/issue40541> _______________________________________ _______________________________________________ Python-bugs-list mailing list Unsubscribe: https://mail.python.org/mailman/options/python-bugs-list/archive%40mail-archive.com