[英]Random Number Generator Only Printing One Number
This is the code I have so far: 这是我到目前为止的代码:
from quick_pick import quick_pick
def main():
LIMIT = 67
number = 9
list_1 = []*number
quick_pick(number, LIMIT, list_1)
print (list_1)
main()
import random
def quick_pick(n,limit,lottery):
main_count = 0
while main_count <n:
lotto_numbers = random.randint(1, limit)
if lotto_numbers not in lottery:
lottery.append(lotto_numbers)
main_count += 1
return (lottery * n)
but when I run it I get this: [21]
但是当我运行它时,我得到了:
[21]
Im not sure how to get all 9 numbers to show up in the list so I can print it. 林不知道如何让所有9个数字显示在列表中,以便我可以打印它。 If someone could help it would be appreciated as this is for part of my assignment and I need it to do the rest of it.
如果有人可以帮助,将不胜感激,因为这是我的任务之一,我需要它来完成其余的工作。
You can use random.sample
to pick the numbers: 您可以使用
random.sample
来选择数字:
limit = 67
n = 9
print(random.sample(range(1, limit + 1), n)) # [49, 32, 66, 57, 25, 9, 22, 4, 48]
Fix you indentation, lose the * n
, and viola(!), your code works: 解决您的缩进问题,丢失
* n
和viola(!),您的代码有效:
def quick_pick(n,limit,lottery):
main_count = 0
while main_count <n:
lotto_numbers = random.randint(1, limit)
if lotto_numbers not in lottery:
lottery.append(lotto_numbers)
main_count += 1
return lottery
>>> quick_pick(number,LIMIT,list_1)
[44, 43, 62, 13, 11, 25, 36, 29, 15]
The problem was, as you can see, the fact that you return
after finding the first number to add to your lottery
. 如您所见,问题是,您在找到第一个要添加到
lottery
号码后便return
了。 You need to wait until it is filled up. 您需要等待直到填满。 Also multiplying by
n
(9) doesn't make much sense. 同样,乘以
n
(9)也没有多大意义。
Another way to get random numbers following some particular distribution is to use the probability distributions directly.. 获取遵循某些特定分布的随机数的另一种方法是直接使用概率分布。
Example: 例:
import numpy as np
nums = np.random.uniform(-1, 1, (100, 2))
This will generate a hundred 2-dimensional points in the range (-1, 1) from the underlying uniform distribution (all the numbers in the range have the same probability of being picked). 这将从基础均匀分布中生成范围(-1,1)内的一百个二维点(范围内的所有数字具有相同的被拾取概率)。
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