小编Kyl*_*ili的帖子

尝试使用看起来像这样的东西：

  CATEGORY | NUMBER VALUE  | ID

   FRUIT   |      15       |  XCD

  VEGGIES  |      12       |  ZYK



from sklearn.preprocessing import LabelEncoder, OneHotEncoder
data = data.iloc[:,:].values
enc = LabelEncoder()
data[:,0]=enc .fit_transform(data[:,0])
data

输出：

array([[1, 15, 'XCD'],
       [2, 12, 'ZYK']])

然后...

from sklearn.compose import ColumnTransformer
ct = ColumnTransformer(transformers=[('encode',OneHotEncoder,[0])],remainder='passthrough')
dataset = np.array(ct.fit_transform(data))

给

TypeError: Cannot clone object. You should provide an instance of scikit-learn estimator instead of a class.