我正在使用Jupyter Notebook使用csv文件运行这个，但这给出了一个错误，我已经尝试了这里给出的答案：TypeError: init() got an unexpected keyword argument 'categorical_features'但这没有帮助。我不知道在这里该怎么做。

# Encoding categorical data
# Encoding the Independent Variable
from sklearn.preprocessing import LabelEncoder, OneHotEncoder
labelencoder_X = LabelEncoder()
X[:, 0] = labelencoder_X.fit_transform(X[:, 0])
onehotencoder = OneHotEncoder(categorical_features = [0])
X = onehotencoder.fit_transform(X).toarray()
# Encoding the Dependent Variable
labelencoder_y = LabelEncoder()
y = labelencoder_y.fit_transform(y)

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错误代码：

---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
Input In [22], in <cell line: 24>()
     22 labelencoder_X = LabelEncoder()
     23 X[:, 0] = labelencoder_X.fit_transform(X[:, 0])
---> 24 onehotencoder = OneHotEncoder(categorical_features = [0])
     25 X = onehotencoder.fit_transform(X).toarray()
     26 # Encoding the Dependent Variable

TypeError: OneHotEncoder.__init__() got an unexpected keyword argument 'categorical_features'

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