# -*- coding: utf-8 -*-
"""
Created on Wed Jan 06 14:58:07 2016

@author: George
"""
import random
import numpy as np

x = []
y = []

for i in range(7500):
    x.append((random.random()*5000))
    y.append((random.random()*12000))


output = np.vstack((x,y))
filename = 'J:\\WORK_IN_PROGRESS\\Files for cluster analysis\\IP3R1\\RandomXY\\randomXY2.txt'
np.savetxt(filename, np.transpose(output), delimiter=',')
print("Result File Saved")
1017779457f5586588cb5869b091561468319368
<mask token>

<mask token>
for i in range(7500):
    x.append(random.random() * 5000)
    y.append(random.random() * 12000)
<mask token>
np.savetxt(filename, np.transpose(output), delimiter=',')
print('Result File Saved')

<mask token>
x = []
y = []
for i in range(7500):
    x.append(random.random() * 5000)
    y.append(random.random() * 12000)
output = np.vstack((x, y))
filename = (
    'J:\\WORK_IN_PROGRESS\\Files for cluster analysis\\IP3R1\\RandomXY\\randomXY2.txt'
    )
np.savetxt(filename, np.transpose(output), delimiter=',')
print('Result File Saved')

<mask token>
import random
import numpy as np
x = []
y = []
for i in range(7500):
    x.append(random.random() * 5000)
    y.append(random.random() * 12000)
output = np.vstack((x, y))
filename = (
    'J:\\WORK_IN_PROGRESS\\Files for cluster analysis\\IP3R1\\RandomXY\\randomXY2.txt'
    )
np.savetxt(filename, np.transpose(output), delimiter=',')
print('Result File Saved')

# -*- coding: utf-8 -*-
"""
Created on Wed Jan 06 14:58:07 2016

@author: George
"""
import random
import numpy as np

x = []
y = []

for i in range(7500):
    x.append((random.random()*5000))
    y.append((random.random()*12000))


output = np.vstack((x,y))
filename = 'J:\\WORK_IN_PROGRESS\\Files for cluster analysis\\IP3R1\\RandomXY\\randomXY2.txt'
np.savetxt(filename, np.transpose(output), delimiter=',')
print("Result File Saved")