Python實現隨機游走的詳細解釋
注:需要python的內置函數random,不需安裝,直接導入即可
import random
-*- coding: utf-8 -*-import matplotlib.pyplot as pltimport randomposition=0#設置初始位置walk=[]#保存位置steps=500#設置步數為500步for i in range(steps): step=1 if random.randint(0,1) else -1#如果隨機值等于0則step為1,反之為0 position+=step#改變位置(正,負) walk.append(position)fig=plt.figure()#生成窗口ax=fig.add_subplot(211)#返回一個axes對象,里面的參數abc表示在一個figure窗口中,有a行b列個小窗口,然后本次plot在第c個窗口中ax.plot(walk)ax=fig.add_subplot(223)ax.plot(walk)ax=fig.add_subplot(224)ax.plot(walk)plt.show()#print walk#打印每一次的累積步數
運行如下:
需要用到numpy庫
#-*- 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)#每一次的步長walks = steps.cumsum(1)#累積步數fig = plt.figure()ax = fig.add_subplot(111)for i in range(nwalks): ax.plot(walks[i])plt.show()
到此這篇關于Python實現隨機游走的詳細解釋的文章就介紹到這了,更多相關Python 隨機游走內容請搜索好吧啦網以前的文章或繼續瀏覽下面的相關文章希望大家以后多多支持好吧啦網!
相關文章: