[Python] How to use LabelEncoder in sklearn make_column_tranformer?

How to use LabelEncoder in sklearn pipeline?

NOTE The following code works for "OneHotEncoder" but fails for "LabelEncoder", How to use LabelEncoder in this circumstance?

MWE


import numpy as np
import pandas as pd
import seaborn as sns
from sklearn.preprocessing import LabelEncoder, OneHotEncoder
from sklearn.compose import make_column_transformer
import sklearn

print(sklearn.__version__) # 0.22.2.post1

df = sns.load_dataset('titanic').head()

le = OneHotEncoder() # this success
# le = LabelEncoder() # this fails

ct = make_column_transformer(
(le, ['sex','adult_male','alone']),
remainder='drop')

ct.fit_transform(df)

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