if you're going for probability based percentage, then just do that:
import random
def randomPercentage(data,percentage):
for i in data:
if random.random()<percentage:
yield i
print list(randomPercentage(selectedList,0.7))
also, another very short answer would be just randomizing your list and
getting a part of it:
import random
import math
random.shuffle(selectedList)
print selectedList[:int(math.ceil(len(a)*0.7))]
On 2011.03.20 22:51, Ling wrote:
Hey guys:
Need some algorithm help if possible..
Say I have 1000 points in a sorted list, and I want to select a
given portion of the points in the list, for example, 70% of it. Don't
need to be perfectly accurate, but the 70% have to be pretty much
evenly distributed among the 1000 points.
I am doing a step selection right now, which is something like:
selectedList = []
remain = 0
while i< 1000:
step = int(1/0.7 + remain)
remain = 1/0.7 + remain - step
selectedList.append(pointsList[i])
i += step
the step selection works, but just wonder if there is any better/
faster solution I can borrow from you guys.
Any suggestions would be really appreciated.
-ling
--
Viktoras
www.neglostyti.com
--
http://groups.google.com/group/python_inside_maya
