我在多变量线性回归中收到以下关于消除虚拟变量陷阱的错误

Question

dataset = pd.read_csv('50_Startups.csv')
X = dataset.iloc[: , :-1].values
y = dataset.iloc[:,4].values

from sklearn.preprocessing import LabelEncoder, OneHotEncoder
labelencoder_X = LabelEncoder()
X[:,3] = labelencoder_X.fit_transform(X[:,3])

onehotencoder = OneHotEncoder(categorical_features = [3])
X=onehotencoder.fit_transform(X).toarray

# Avoiding the Dummy Variable Trap
X=X[:, 1:]

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编写上述代码时出现以下错误。请您提出修改建议

File "<ipython-input-35-9ad621cd0c86>", line 13, in <module>
    X=X[:, 1:]

TypeError: 'method' object is not subscriptable

Answer 1

X=onehotencoder.fit_transform(X).toarray()

你错过了那里的“()”。