from __future__ import division
import numpy as np
import matplotlib.pyplot as plt
steps = np.linspace(0, 100, 101)
x_ave = np.zeros(101)
x_y0 = np.zeros(101)
x_now = np.zeros(500)
for i in range(100):
for j in range(500):
ruler = np.random.rand()
if ruler<=0.5:
x_now[j] = x_now[j] + 1
else:
x_now[j] = x_now[j] - 1
average = sum(x_now)/500
x_ave[i+1] = average
plt.scatter(steps, x_ave)
plt.plot(steps, x_y0)
plt.xlim(0,100)
plt.ylim(-1,1)
plt.grid(True)
plt.xlabel('step number(= time)')
plt.ylabel('<x>')
plt.title('<x> of 500 walkers')
plt.show()
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