import numpy as np 
import matplotlib.pyplot as plt 
 
if __name__ == '__main__': 
 x1, y1 = 0, 30 
 x3, y3 = 200, -10 
 x2, y2 = 100, 200 
 sample_size = 500 
 theta = np.arange(0,1,0.001) 
 x = theta * x1 + (1 - theta) * x2 
 y = theta * y1 + (1 - theta) * y2 
 plt.plot(x,y,'g--',linewidth=2) 
 x = theta * x1 + (1 - theta) * x3 
 y = theta * y1 + (1 - theta) * y3 
 plt.plot(x, y, 'g--', linewidth=2) 
 x = theta * x2 + (1 - theta) * x3 
 y = theta * y2 + (1 - theta) * y3 
 plt.plot(x, y, 'g--', linewidth=2) 
 rnd1 = np.random.random(size = sample_size) 
 rnd2 = np.random.random(size=sample_size) 
 rnd2 = np.sqrt(rnd2) 
 x = rnd2 * (rnd1 * x1 + (1 - rnd1) * x2) + (1 - rnd2) * x3 
 y = rnd2 * (rnd1 * y1 + (1 - rnd1) * y2) + (1 - rnd2) * y3 
 plt.plot(x,y,'ro') 
 plt.grid(True) 
 # plt.savefig('demo.png') 
 plt.show()