老师，您好，帮我看看我的HR特征预处理2那一节的程序报错，不知道问题出在了哪里？

Question

runfile('D:/python_file/229_15_HR_PreDeal.py')

D:\python_install\lib\site-packages\sklearn\utils\validation.py:475: DataConversionWarning: Data with input dtype int64 was converted to float64 by MinMaxScaler.

  warnings.warn(msg, DataConversionWarning)

D:\python_install\lib\site-packages\sklearn\utils\validation.py:475: DataConversionWarning: Data with input dtype int32 was converted to float64 by MinMaxScaler.

  warnings.warn(msg, DataConversionWarning)

Answer 1

途索 2018-07-05 12:57:53

同学你好，MinMax操作需要输入浮点类型数据，如果输入了int类型数据就会报以上warning了。

• 提问者 陈素素 #1

  for i in range(len (scaler_lst)):         if not scaler_lst[i]:             if column_lst[i] == "salary":                  df[column_lst[i]] = [map_salary(s) for s in df["salary"].values]             else:                  df[column_lst[i]] = LabelEncoder().fit_transform(df[column_lst[i]])             df[column_lst[i]] = MinMaxScaler().fit_transform(df[column_lst[i]].values.reshape(-1,1)).reshape(1,-1)[0]         else:             df = pd.get_dummies(df,columns = [column_lst[i]]) 那这里如何修改呢