我编写了以下代码来编码数据帧的分类特征（名为't'） -

from sklearn.compose import ColumnTransformer

categorical_columns = ['warehouse_ID', 'Product_Type','month', 'is_weekend', 'is_warehouse_closed']

transformer = ColumnTransformer(transformers= [('le',preprocessing.LabelEncoder()  ,categorical_columns)],remainder= 'passthrough')

Train_transform = transformer.fit_transform(t) 

但它显示了这个错误 -

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