sklearn中数值特征离散值处理的方法是使用get_dummies()函数

    import pandas as pd
    
    poke_df = pd.read_csv('Pokemon.csv', encoding='utf-8')
    poke_df[['Name','Generation']].iloc[4:10]
    
    
      
      
      
      
    

    gen_dummy_features = pd.get_dummies(poke_df['Generation'], drop_first=True) #去掉第一列
    pd.concat([poke_df[['Name','Generation']], gen_dummy_features], axis=1).iloc[4:10]