from sklearn.preprocessing import OneHotEncoder
column_to_encode = ['Sex','Fasting_Blood_Sugar','Exercise_Angina']

# Create a nominal encoder object
encoder = OneHotEncoder(drop="first")

# Fit and transform the specified column using the encoder
encoded_column = encoder.fit_transform(df[column_to_encode])

# Convert the encoded column to a DataFrame
encoded_df = pd.DataFrame(encoded_column.toarray(), columns=encoder.get_feature_names_out(column_to_encode))

# Concatenate the encoded DataFrame with the original DataFrame
df = pd.concat([df, encoded_df], axis=1)

# Drop the original column that was encoded
df.drop(column_to_encode, axis=1, inplace=True)

我正在尝试这个代码。并且从数据集中删除三个值。请帮助我理解