在python中使用ColumTransformer进行虚拟编码

Question

我正在尝试使用scikit的ColumnTransformer类作为真正的DataFrame转换器。

import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
from sklearn.preprocessing import LabelEncoder, OneHotEncoder
from sklearn.compose import ColumnTransformer

dataset = pd.read_csv('dataset.csv')
X = dataset.iloc[:, 3:13].values
y = dataset.iloc[:, 13].values

transformer = ColumnTransformer(transformers=[("OneHot", OneHotEncoder(), [1]), ("LabEnc", LabelEncoder(), [2])], remainder="passthrough")

X = transformer.fit_transform(X)

但最后一行有错误：

TypeError: fit_transform() takes 2 positional arguments but 3 were given

此外，X是：

array([[619, 'France', 'Female', ..., 1, 1, 101348.88],
       [608, 'Spain', 'Female', ..., 0, 1, 112542.58],
       [502, 'France', 'Female', ..., 1, 0, 113931.57],
       ...,
       [709, 'France', 'Female', ..., 0, 1, 42085.58],
       [772, 'Germany', 'Male', ..., 1, 0, 92888.52],
       [792, 'France', 'Female', ..., 1, 0, 38190.78]], dtype=object)