从列表中选择随机值，直到它们在Python中消失 [英] Selecting random values from list until they are gone in Python

问题描述

我想使用Python从列表中随机选择一个人，然后将他们分成5人一组，而不要一次选择同一个人.人群由2个标准定义:年龄和性别.人员列表如下所示:

Using Python, I want to randomly select people from a list and put them in groups of 5 without selecting the same person more than once. The people are defined by 2 criteria: age and sex. The list of people looks like this:

PPL = [1、4、6]，[2、5、5]，[3、7、3]，[4、2、8]，[5、4、6]

PPL= [1, 4, 6], [2, 5, 5], [3, 7, 3], [4, 2, 8], [5, 4, 6]

其中每个列表中的3个数字代表:年龄类别(1-5)，男性数量，女性数量.我意识到将5个分组确实无关紧要，因为我要做的只是创建一个随机列表(然后我可以一次算出5个)，但是我不确定如何在不重复使用的情况下创建随机列表人们.有什么建议吗?
我从以下内容开始(实际上只是打印其余的男性和女性):

where the 3 numbers in each list represent: age category (1-5), # of males, # of females. I realize the groupings of 5 don't really matter, as all I have to do is make a random list (and then I could count off 5 at a time), but I'm not sure how to make a random list without reusing people. Any suggestions?
I have started with the following (which really just prints the remaining males and females):

import random

PPL = [1, 4, 6], [2, 5, 5], [3, 7, 3], [4, 2, 8], [5, 4, 6]

age = range(0, 6)
gender = [1, 2]#1 = male, #2 = female

randomAge = random.choice(age)
randomGender = random.choice(gender)

count = 0
PPLcounter = 0
for P in PPL:
        while P[randomGender] > 0:
            PPL[PPLcounter][randomGender] = P[randomGender] - 1
            MRemaining = PPL [PPLcounter][1]
            FRemaining = PPL [PPLcounter][2]
            count = count+1
            print count, MRemaining, FRemaining
        PPLcounter += 1

推荐答案

扩展Joel Cornett的评论和A. Rodas的示例:

Expanding on Joel Cornett's comment and A. Rodas example:

这是您想要的吗?

import random

def gen_people_in_group(age, num_male, num_female):
    males = ['m%s' % age] * num_male
    females = ['f%s' % age] * num_female
    return males + females

def gen_random_sample(num_in_group=5):
    groups = [1, 4, 6], [2, 5, 5], [3, 7, 3], [4, 2, 8], [5, 4, 6]

    population = []
    for group in groups:
        population += gen_people_in_group(*group)

    random.shuffle(population)

    for idx in xrange(0, len(population), num_in_group):
        yield population[idx:(idx + num_in_group)]

def main():
    for rand_group in gen_random_sample():
        print rand_group

if __name__ == '__main__':
    main()

这里是一个输出:

['m3', 'f3', 'm5', 'f4', 'm1']
['f4', 'f4', 'm4', 'f2', 'm2']
['m4', 'f3', 'm5', 'm3', 'f5']
['m3', 'f5', 'f1', 'm3', 'f4']
['m5', 'f2', 'f1', 'f1', 'f5']
['m1', 'f2', 'f2', 'f1', 'm2']
['f5', 'f4', 'f4', 'm2', 'f4']
['m3', 'm2', 'f2', 'f1', 'f5']
['m3', 'm5', 'm2', 'f5', 'f1']
['m1', 'm3', 'f3', 'm1', 'f4']

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