Comments (5)
Hello,
Which kind of intervals are you using? I mean: are they based on numerical values, dates, etc.? Also, depending on the type, these intervals can be continuous (e.g. floats) or pseudo-discrete (e.g. dates), leading to a different problem ;)
[Edited: Also, I guess that you want each value to have the exact same probability to be taken?]
from portion.
Hi @AlexandreDecan,
Just as you said, these intervals are mainly based on numerical values, and I want to get random values in same probability.
Although there is some method to get values from a range in model "random", but the boundary is hard to handle with the interval instance.
from portion.
Hi,
A very naive, pretty inefficient, way to do this would be to generate a random value and check if it is contained in the interval. Let's assume that your interval is interval
, and that it is lower and upper bounded (i.e. its bounds are distinct from P.inf
and -P.inf
). Then the code could be:
while True:
x = random.uniform(interval.lower, interval.upper)
if x in interval:
break
By the way, this could be very inefficient, especially if there are many "gaps" in your interval.
Another way, more efficient, would be to work with atomic intervals (i.e. intervals that have no "gap"). The first step is to select one of them, then to generate a value between its bounds. Obviously, not all atomic intervals should have the same weights, since some of them are "smaller" than some other ones.
weights = [x.upper - x.lower for x in interval]
atomic = random.choices(interval, weights=weights, k=1)[0]
while True:
x = random.uniform(atomic.lower, atomic.upper)
if x in atomic:
break
The while
loop is still needed, since we are generating a number between atomic.lower
and atomic.upper
and that one of them could be P.OPEN
(i.e. should not be selected). This loop is however far more efficient than the one of the first example, as it will only be executed more than once if x == atomic.lower and atomic.left == P.OPEN
or x == atomic.upper and atomic.right == P.OPEN
.
Notice that I have not tested these snippets yet :-)
from portion.
Thank you very much!
I think the methods you mentioned can really help me with the problem, and I truly appreciate your timely help ;)
from portion.
You're welcome! :-)
from portion.
Related Issues (20)
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- Add __format__ method to Interval (improvement) HOT 16
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- IntervalMultiDict HOT 3
- Add example for pandas in README HOT 5
- importlib error with create_api HOT 2
- Error to import interval, inf, imath from interval HOT 1
- importlib.machinery error with create_api HOT 6
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- Empty Calculation Bug HOT 3
- The performance issues of interval calculations in large quantities. HOT 1
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