This is an additional question. About random function weights

import random
import math
import numpy as np
             #***The average distance (dis)** after n times of simulation picking t times per person


#1. Randomly generate (x.y) coordinates between 1 and 50
#2. Calculate the coordinates and distance from (0.0)
#3. Again, create (x,y) coordinates between 1 and 50
#4. Add the distance from the coordinates of 1 to 2
#5. Create coordinates and add to the previous distance
#6. Repeat t times in this way, and the total distance traveled and the average

print("How many pickers do you have?>> ")
o = int(input())
print("How many times would you like to pick per person?">> ")
t = int(input())
print("What number(n) would you like to simulate?>> ")
n = int(input())
arr = [] #Insert a distance t times per person into arr (total number of elements is n)
nx,ny = 0,0 #startcoordinates
for i in range(n):
    result = 0
    for _ in range(t):
        x = int(random.randrange(1,51)) #1 to 50 random number generation
        y = int(random.randrange(1,51)) #1 to 50 random number generation
        print("random coordinate values x=", x",y=",y) #Input to check
        distance = math.sqrt(abs(x - nx) **2 + abs(y - ny) **2)
        print("distance from previous coordinates", distance) #I put it in to check
        Cumulative distance at result += distance #result
        nx = x #Put in variable because the next distance must be the previous distance
        ny = y
    distance = math.sqrt(abs(x) **2 + abs(y) **2) #sum the distance returned from the last coordinate to the origin
    Result += distance # Cumulative distance in result
    arr.append(result)
    a = np.array([arr])
    AVG = np.mean(a) #Mean the simulation

print("Distance is "", arr, ", Mean is "", [AVG], ")
print ("Maximum distance is", [max(arr)], ", Minimum distance is", [min(arr)], and "")
In #arr, if t is 2 and n is 3, then arr contains 3 result values