所以我創建了兩個類。第一個（myModel）有一個函數，可以用“predictFinalIncome”函數計算收入。我出于 SO 的目的對其進行了簡化。class myModel:  """  The earning growth model for individuals in the utopia   """  def __init__(self, bias) :    """    :param bias: we will use this potential bias to explore different scenarios to the functions of gender and ethnicity    :param b_0: the intercept of the model.\     :param b_age: age at world creation    :param b_education: similar.     :param b_gender: similar    :param b_marital: marital status    :param b_ethnic: similar    :param b_industry: similar    :param b_income: similar.    """    self.bias = bias # bias is a dictionary with info to set bias on the gender function and the ethnic function  def predictFinalIncome( self, n, person ):     for i in range(n):      n_income = n_income* i    return n_income所以這個類接受一個“Person”字典，比如：utopModel = myModel( { "gender": False, "ethnic": False } ) months = 12plato = { "age": 58, "education": 20, "gender": 1, "marital": 0, "ethnic": 2, "industry": 7, "income": 100000 }utopModel.predictFinalIncome(months,plato)所以我的目標是創建一個類（Person），它可以在每次調用該函數時存儲給定 Person 的 predictFinalIncome()，從而刪除前一個。這樣我就可以跟蹤一個人并在我調用該函數時存儲他們的預測收入。我想將其作為收入存儲在 Person 中。class Person:  """  The attributes of a Person to build a person up, having their information in one place as it changes.  """  def __init__(self, bias) :    """    :param age: person's age    :param education: person's years of education     :param gender: male or female    :param marital: marital status    :param ethnic: ethnicity    :param industry: what sector of work    :param income: salary    """  def age00(self, age):    return age  def age(self, age):    return   def income00(self, income):    return income  def income(self, n, income):    return   def __getitem__(self, item):    return self.__dict__[item]