一种在python中提供NaN值的热编码

import pandas as pd
from sklearn.preprocessing import OneHotEncoder

data = pd.DataFrame({'特征A': ['值1', '值2', None, '值1', '值2', '值3']})

encoder = OneHotEncoder(sparse=False, handle_unknown='ignore')
encoded_data = pd.DataFrame(encoder.fit_transform(data[['特征A']].fillna('未知')), columns=encoder.get_feature_names(['特征A']))

print(encoded_data)

   特征A_值1  特征A_值2  特征A_值3  特征A_未知
0      1.0      0.0      0.0      0.0
1      0.0      1.0      0.0      0.0
2      0.0      0.0      0.0      1.0
3      1.0      0.0      0.0      0.0
4      0.0      1.0      0.0      0.0
5      0.0      0.0      1.0      0.0