Python3：追加到两个for循环中的列表

Question

I have the following code, that sums up a maximum of 100 random numbers drawn from a normal distribution until it reaches -10 or +10:

import numpy as np
mylist=[]
summ = 0
for x in range(100):
    i = np.random.randn()
    summ += i
    mylist.append(i)
    if summ < -10 or summ >10:
        break

Now I want to run this 500 times, and thus create a list with 500 lists, each containing the numbers. I thought of putting this in another for loop:

for p in range(500):
    templist = []
    for x in range(100):
        i = np.random.randn()
        summ += i
        templist.append(i)
        if summ < -10 or summ >10:
            mylist.append(templist)
            break

Except that I don't know how to append the element i to the list now...

Update: I updated the code so the random numbers are first added to a temporary list templist , and as soon as the sum walks out the limits, it appends this list to mylist . However, not working still!

Answer 1

mylist = []
for p in range(500):
    new_list = []
    summ = 0
    for x in range(100):
        i = np.random.randn()
        summ += i
        new_list.append(i)
        if summ < -10 or summ >10:
            break
    mylist.append(new_list)

Answer 2

You can execute any function 500 times and save the result in a list by using decorators. Just put your functionality inside a function:

import numpy as np

def execute_500_times(func):

    def multiplying_func(*args, **kwargs):
        list_of_results = list()
        for _ in range(500):
            list_of_results.append(func(*args, **kwargs))
        return list_of_results

    return multiplying_func

@execute_500_times
def myfunc():
    mylist=list()
    summ = 0
    for x in range(100):
        i = np.random.randn()
        summ += i
        mylist.append(i)
        if summ < -10 or summ >10:
            break

    return mylist

result = myfunc()

An advantage of this is that the decorator function can be reused for other functions as well instead of just modifying your original function.