Question

以下代码应该对分类数据进行编码，但它会引发错误。 X是一个由3列组成的矩阵，其中第一列（索引0）是一个分类变量，我试图进行一次热编码。谢谢！

#Importing dataset 

#Importing csv with pandas
dataset = pd.read_csv("Data.csv")

#Creating our matrix of independent variables (X)
X = dataset.iloc[:, :-1].values

#Creating the dependent variable vector (y)
y = dataset.iloc[:, 3]

缺少值

#Dealing with missing values 

#import Imputer class from sklearn 
from sklearn.preprocessing import Imputer

#create an object from the Imputer class
imputer = Imputer(missing_values = "NaN", strategy = 'mean')

#fit 'imputer' object to our independent variable matrix X 
imputer.fit(X[:, 1:3])

#Updating our matrix X using transform method
X[:, 1:3] = imputer.transform(X[:, 1:3])

一个热门编码

#import LabelEncoder, OneHotEncoder classes from sklearn 
from sklearn.preprocessing import LabelEncoder, OneHotEncoder

#create an object from the LabelEncoder class 
labelencoder_X = LabelEncoder()

#update our matrix X with encoded values 
X[:, 0] = labelencoder_X.fit_transform(X[:, 0])

#create an object from OneHotEncoder class 
onehotencoder = OneHotEncoder(categorical_features = [0])

#fit 'onehotencoder' object to our first column
X = onehotencoder.fit_transform(X).toarray()

错误（在一个热编码中）：

---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-58-2a8dcc36489d> in <module>()
      8 
      9 #update our matrix X with encoded values
---> 10 X[:, 0] = labelencoder_X.fit_transform(X[:, 0])
     11 
     12 #create an object from OneHotEncoder class

TypeError: 'method' object is not subscriptable

TypeError：'method'对象不可订阅

0 个答案: