如何从嵌入 ColumnTransformer 中的 OneHotEncoder 获取特征名称？

如何从嵌入 ColumnTransformer 中的 OneHotEncoder 获取功能名称？

下面这段代码：

import pandas as pd
from sklearn.compose import ColumnTransformer
from sklearn.preprocessing import OneHotEncoder

df = pd.DataFrame(data = [[1],[2]], columns = ['C'])
ohe = OneHotEncoder(sparse_output = False)
transformer = ColumnTransformer(transformers = [('encoder', ohe, ['C'])])
transformer.fit_transform(df)
ohe.get_feature_names_out()

结果出现以下错误消息：

NotFittedError                            Traceback (most recent call last)
<ipython-input-1-46f41a3cf71a> in <cell line: 10>()
      8 transformer = ColumnTransformer(transformers = [('encoder', ohe, ['C'])])
      9 transformer.fit_transform(df)
---> 10 ohe.get_feature_names_out()

1 frames
/usr/local/lib/python3.10/dist-packages/sklearn/utils/validation.py in check_is_fitted(estimator, attributes, msg, all_or_any)
   1388 
   1389     if not fitted:
-> 1390         raise NotFittedError(msg % {"name": type(estimator).__name__})
   1391 
   1392 

NotFittedError: This OneHotEncoder instance is not fitted yet. Call 'fit' with appropriate arguments before using this estimator.

为什么？