如何使用scikit-learn将一次性编码的数据替换为与之相关的原始数据？

from sklearn.preprocessing import LabelEncoder
from sklearn.preprocessing import OneHotEncoder

label_encoder = LabelEncoder()
label_encoded_data = label_encoder.fit_transform(original_data)

onehot_encoder = OneHotEncoder(sparse=False)
onehot_encoded_data = onehot_encoder.fit_transform(label_encoded_data.reshape(-1, 1))

feature_names = onehot_encoder.get_feature_names(['feature'])

import pandas as pd

onehot_encoded_df = pd.DataFrame(onehot_encoded_data, columns=feature_names)
replaced_data = original_data.replace(original_data, onehot_encoded_df)