【发布时间】:2018-12-03 10:51:33
【问题描述】:
这个代码 sn-p 是一个更大的遗传算法的一部分。当我运行它时,我得到TypeError: 'int' object is not subscriptable 的agent.buy = agent.buy[i] + random.randint(0, in_prices_length) 行。
我意识到你不能对一个普通的整数值进行索引,但我很困惑,因为 Agent 类中的 self.buy 被初始化为一个列表。我不经常使用面向对象的 python,所以我确定我在掩饰一些简单的东西,我就是找不到。
class Agent:
def __init__(self, length):
self.buy = [random.randint(0,length), random.randint(0,length)]
self.fitness = -1
in_prices = None
in_prices_length = None
population = 20
generations = 100
def ga():
agents = init_agents(population, in_prices_length)
for generation in range(generations):
print ('Generation: ' + str(generation))
agents = fitness(agents)
agents = selection(agents)
agents = crossover(agents)
agents = mutate(agents)
def init_agents(population, length):
return [Agent(length) for _ in range(population)]
def mutate(agents):
for agent in agents:
for i in range(2):
if random.uniform(0.0, 1.0) <= 0.1:
agent.buy = agent.buy[i] + random.randint(0, in_prices_length)
return agents
if __name__ == '__main__':
raw = pd.read_csv('IBM.csv')
in_prices = raw['close'].tolist()
in_prices = list(reversed(in_prices))[0:300]
in_prices_length = len(in_prices)
ga()
【问题讨论】:
-
agent.buy可能会被初始化为一个列表,但是当您这样做时,您会为其分配一个数字:agent.buy = agent.buy[i] + random.randint(0, in_prices_length) -
@MarkMeyer 明白了!该行最初用于将字符串添加在一起,因此它对于列表的工作方式不同是有道理的。谢谢!
标签: python pandas oop dataframe genetic-algorithm