Question

我有一个CSV文件，其中存储了消费者对不同生产商的几台笔记本电脑给出的评分（从0：最低到5：最高）。每一行显示了一位消费者针对不同功能给出的评分。下面显示了两个消费者的示例：

Consumer  Screen_13 Screen_14 Screen_15 Battery_7 Battery_10 Battery_11
  1         0        3             3         2       5           5
  2         1        4             3         1       3           5

我正在使用mesa创建一个基于agent_的模型来评估不同新笔记本电脑的购买。假设消费者数量为100，则CSV文件有100行和6列，用于2种功能（屏幕尺寸和电池。在for loop中逐行读取CSV时，我希望每个代理商（消费者）可以分配给CSV的一行（标题也应该存储），并且我知道谁（哪个代理）拥有哪一行。我这样做的主要是根据mesa的教程来建立模型和代理类mesa tutorial

为解释我添加到代码中以使创建代理发生的内容，Rate的每一行都有一行CSV。现在我希望可以为consumerAgent i分配Rate [i]，但是我使用另一个参数'ratingarray'的方式似乎是错误的，但是我不知道如何纠正它。错误告诉我__init__() missing 1 required positional argument: 'ratingarray'

期待您的评论，

非常感谢您

import csv
import random
from mesa import Agent, Model
from mesa.time import RandomActivation
from mesa.space import MultiGrid

class ConsumerAgent(Agent):

def __init__(self, name, model, ratingarray):
    super().__init__(name, model, ratingarray)
    self.name = name
    self.rate[i] = ratingarray


def step(self):
    print("agent {}  was activated".format(self.name))
# Whatever else the agent does when activated


class ProductEvalModel(Model):

def __init__(self, n_agents):
    self.schedule = RandomActivation(self)
    self.grid = MultiGrid(10, 10, torus=True)


    for i in range(n_agents):
        a = ConsumerAgent(i, self, rate[i])
        self.schedule.add(a)
        coords = (random.randrange(0, 10), random.randrange(0, 10))
        self.grid.place_agent(a, coords)

def step(self):
    self.schedule.step()
    #self.dc.collect(self)

############################# Main #####################################
model = ProductEvalModel(100)        #100 consumers     

with open('RateVal.csv') as csvfile:
csvreader = csv.reader(csvfile,delimiter=',')


rate = []

for row in csvreader:

    rateS = row
    rate.append(rateS)


loopi = 1
while loopi < 101:
    model.step()
    loopi += 1

Answer 1

您没有传递rate [i]属性。

它应该看起来像这样：

import csv
import random
from mesa import Agent, Model
from mesa.time import RandomActivation
from mesa.space import MultiGrid

class ConsumerAgent(Agent):

    def __init__(self, name, model, ratingarray):
        super().__init__(name, model) #removed ratingarray is not part of the Agent 
                                      #superclass
        self.name = name
        self.rate[i] = ratingarray


    def step(self):
         print("agent {}  was activated".format(self.name))
         # Whatever else the agent does when activated


class ProductEvalModel(Model):

    def __init__(self, n_agents):
       self.schedule = RandomActivation(self)
       self.grid = MultiGrid(10, 10, torus=True)
       # you could also just pass it in as a parameter, but I usually make it an 
       #attribute of the model
       self.ratingarray = [list of list with each row as a sublist \
                           (e.g.[[row1],[row2],[row3]])] 


    for i in range(n_agents):
        a = ConsumerAgent(i, self, self.ratingarray[i]) #passes in row of data
                                                        #to be agent attribute
        self.schedule.add(a)
        coords = (random.randrange(0, 10), random.randrange(0, 10))
        self.grid.place_agent(a, coords)

    def step(self):
       self.schedule.step()
       #self.dc.collect(self)

在mesa中通过CSV文件创建代理-python

1 个答案: