import matplotlib.pyplot as plt
import random
position = 0
walk = [position]
steps = 1000
for i in range(steps):
step = 1 if random.randint(0,1) else -1
position +=step
walk.append(position)
plt.plot(walk)
import numpy as np
import matplotlib.pyplot as plt
nsteps = 1000
draws = np.random.randint(0,2,size = nsteps)
steps = np.where(draws>0,1,-1)
# np.where(condition, x, y):是三元表达式 x if condition else y的向量化
walk = steps.cumsum()
plt.plot(walk)
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原创声明:本文系作者授权腾讯云开发者社区发表,未经许可,不得转载。
如有侵权,请联系 cloudcommunity@tencent.com 删除。