简单的随机游走模型中的类型错误 - Python

Question

我一直在通过观看麻省理工学院的开放课程来学习python，并且在关于随机游走模拟模型的讲座17之后，我写了一段简单的代码，但它没有起作用，并显示如下错误：“TypeError：'醉'对象不可调用”。希望有人能帮助我找出错误的地方。

from math import* 
import random,pylab 

    class location(object): 

    def __init__(self,x,y): 
     self.x=x 
     self.y=y 
    def move(self,xc,yc): 
     return location(self.x+float(xc),self.y+float(yc)) 
    def getCoordinates(self): 
     return self.x,self.y 
    def getDistance(self,other): 
     ox,oy=other.getCoordinates() 
     x=fabs(other.x-self.x) 
     y=fabs(other.y-self.y) 
     return sqrt(x**2+y**2) 


class compasspt(object): 

    possibles=('n','s','e','w') 
    def __init__(self,pt): 
     if pt in self.possibles: 
      self.pt=pt 
     else: 
      raise ValueError 
    def move(self,dist): 
     if self.pt=='n':return (0,dist) 
     elif self.pt=='s':return (0,-dist) 
     elif self.pt=='w':return (dist,0) 
     elif self.pt=='e':return (-dist,0) 
     else:raise ValueError 


class field(object): 

    def __init__(self,drunk,location): 
     self.drunk=drunk 
     self.location=location 
    def move(self,cp,dist): 
     oldLocation=self.location 
     xc,yc=cp.move(dist) # shadowing 
     self.location=oldLocation.move(xc,yc) 
    def getLocation(self): 
     return self.location 
    def getDrunk(self): 
     return self.drunk 


class drunk(object): 
    def __init__(self,name): 
     self.name=name 
    def move(self,field,time=1): 
     if field.getDrunk()!=self: 
      raise ValueError('the drunk is not in the field.') 
     for i in range(time): 
      pt=compasspt(random.choice(compasspt.possibles)) # random walk 
      field.move(pt,1) # shadowing 


def performTrial(time,f): 
    start=f.getLocation() 
    distances=[0.0] 
    for t in range(1,time+1): 
     f.getDrunk().move(f) 
     newLocation=f.getLocation() 
     distance=newLocation.getDistance(start) 
     distances.append(distance) 
    return distances 


drunk=drunk('Alexander') 
for i in range(3): 
    f=field(drunk,location(0,0)) 
    distances=performTrial(1000,f) 
    pylab.plot(distances) 
pylab.title('Alexander\'s random walk') 
pylab.xlabel('Time') 
pylab.ylabel('Distance from Origin') 


def performSimulation(time, numTrials): 
    distLists=[] 
    for trial in range(numTrials): 
     d = drunk('Drunk'+str(trial)) 
     f=field(d,location(0,0)) 
     distances=performTrial(time,f) 
     distLists.append(distances) 
    return distLists 


def ansQuest(maxTime,numTrials): 
    means=[] 
    distLists=performSimulation(maxTime,numTrials) 
    for t in range(maxTime+1): 
     tot=0.0 
     for distL in distLists: 
      tot+=distL[t] 
     means.append(tot/len(distL)) 
    pylab.figure() 
    pylab.plot(means) 
    pylab.ylabel('distance') 
    pylab.xlabel('time') 
    pylab.title('Average Distance vs. Time('+str(len(distLists))+'trials)') 

ansQuest(1000,300) 
pylab.show() 

Answer 1

我觉得你的问题来自使用醉类名和实例名都......试着改变你的类醉，然后

drunk=Drunk('Alexander') 

和...

d = Drunk('Drunk'+str(trial)) 

我没有安装pylab，所以我删除了所有这些行，它运行干净（尽管没有输出）

我正在与o'Reilly一起学习Python，并且实际上是试图回答作为任务一部分的问题，所以我希望这对你有所帮助。