python-3.x - 'str' 和 'float' 的实例之间不支持

在处理来自 csv 文件的以下列的缺失数据时，它会引发 TypeError.How to resolve this?

trainData.Gender.fillna(trainData.Gender.max(),inplace =True)
trainData.Married.fillna(trainData.Married.max(),inplace=True)

TypeError: '>=' not supported between instances of 'str' and 'float'

trainData.dtypes
    Loan_ID               object
    Gender                object
    Married               object
    Dependents            object
    Education             object
    Self_Employed         object
    ApplicantIncome        int64
    CoapplicantIncome    float64
    LoanAmount           float64
    Loan_Amount_Term     float64
    Credit_History       float64
    Property_Area         object
    Loan_Status           object

最佳答案

这样做你实际上是在考虑丢失的数据(NaN，被视为浮点数)来寻找最大值。所以:

trainData.Gender.fillna(trainData.Gender.max(),inplace =True)

将尝试比较 str 与浮点数。

你需要做:

trainData.Gender.fillna(trainData.Gender.dropna().max(),inplace =True)
trainData.Gender.fillna(trainData.Married.dropna().max(),inplace =True)