Scikit问题学习将分类转换为数字变量

Question

我有以下代码，我将分类变量转换为数字变量。

from sklearn.preprocessing import LabelEncoder
var_mod = ['Gender','Married','Dependents','Education','Self_Employed','Property_Area','Loan_Status']
le = LabelEncoder()
for i in var_mod:
    df[i] = le.fit_transform(df[i])
print(df.dtypes)

我收到错误

'>'  is not supported between instances of 'str' and 'float'

请告知，我哪里出错？