时间:2021-03-29来源:www.pcxitongcheng.com作者:电脑系统城
注:需要python的内置函数random,不需安装,直接导入即可
import random
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-*- coding: utf-8 -*-import matplotlib.pyplot as pltimport randomposition=0#设置初始位置walk=[]#保存位置steps=500#设置步数为500步for i in range(steps): step=1 if random.randint(0,1) else -1#如果随机值等于0则step为1,反之为0 position+=step#改变位置(正,负) walk.append(position)fig=plt.figure()#生成窗口ax=fig.add_subplot(211)#返回一个axes对象,里面的参数abc表示在一个figure窗口中,有a行b列个小窗口,然后本次plot在第c个窗口中ax.plot(walk)ax=fig.add_subplot(223)ax.plot(walk)ax=fig.add_subplot(224)ax.plot(walk)plt.show()#print walk#打印每一次的累积步数 |
运行如下:

需要用到numpy库
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#-*- coding: utf-8 -*-import matplotlib.pyplot as pltimport numpy as npnwalks = 8nsteps = 500draws = np.random.randint(0, 2, size=(nwalks, nsteps)) # 0 or 1steps = np.where(draws > 0, 1, -1)#每一次的步长walks = steps.cumsum(1)#累积步数fig = plt.figure()ax = fig.add_subplot(111)for i in range(nwalks): ax.plot(walks[i])plt.show() |

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