On 2/15/2014 11:41 PM, Tim Chase wrote:
I'm not coming up with the right keywords to find what I'm hunting.
I'd like to randomly sample a modestly compact list with weighted
distributions, so I might have
data = (
("apple", 20),
("orange", 50),
("grape", 30),
)
If you actually start with date in this form, write the few lines needed
to produce the form below.
import bisect
import random
data = [
(0, 'apple'),
(20, 'orange'),
(70, 'grape'),
]
for i in range(10):
r = random.randrange(0, 100)
i = bisect.bisect(data, (r, 'zzzzz')) - 1
print(data[i][1])
>>>
apple
orange
orange
grape
orange
apple
grape
orange
grape
orange
It is just coincidence that the sample has exactly the expected
distribution.
--
Terry Jan Reedy
--
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