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
On 2014-02-16 04:12, Terry Reedy wrote:
On 2/15/2014 11:41 PM, Tim Chase wrote:
data = (
(apple, 20),
(orange, 50),
(grape, 30),
)
To Ben, yes, this was just some sample data; the original gets built
from an external (i.e., client-supplied, thus the need to
On 2/16/14 9:22 AM, Tim Chase wrote:
3) you meant to write (10, 'apple') rather than 0. With my original
example code, a 0-probability shouldn't ever show up in the sampling,
where it looks like it might when using this sample code. In my
particular use case, I can limit/ensure that
On 16/02/14 05:08, Ben Finney wrote:
Tim Chase python.l...@tim.thechases.com writes:
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,
Tim Chase wrote:
On 2014-02-16 04:12, Terry Reedy wrote:
On 2/15/2014 11:41 PM, Tim Chase wrote:
data = (
(apple, 20),
(orange, 50),
(grape, 30),
)
To Ben, yes, this was just some sample data; the original gets built
from an external (i.e., client-supplied,
How efficient does this thing need to be?
You can always just turn it into a two-dimensional sampling problem by
thinking of the data as a function f(x=item), generating a random x=xr
in [0,x], then generating a random y in [0,max(f(x))]. The xr is
accepted if 0 y = max(f(xr)), or rejected (and
On 16/02/14 16:35, Charles Allen wrote:
How efficient does this thing need to be?
You can always just turn it into a two-dimensional sampling problem by
thinking of the data as a function f(x=item), generating a random x=xr
in [0,x], then generating a random y in [0,max(f(x))]. The xr is
On 2/16/2014 9:22 AM, Tim Chase wrote:
On 2014-02-16 04:12, Terry Reedy wrote:
On 2/15/2014 11:41 PM, Tim Chase wrote:
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
On 2014-02-16 14:47, Terry Reedy wrote:
2) the data has to be sorted for bisect to work
cumulative sums are automatically sorted.
Ah, that they were *cumulative* was the key that I missed in my
understanding. It makes sense now and works like a charm.
Thanks to all who offered a hand in
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),
)
and I'd like to random.sample() it as if it was a 100-element
Tim Chase python.l...@tim.thechases.com writes:
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),
)
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