Question

我有这个df，我需要对其进行汇总然后进行排序：

 #   Column                     Non-Null Count  Dtype  
---  ------                     --------------  -----  
 0   player_slug                692 non-null    object 
 1   player_id                  692 non-null    int64  
 2   player_nickname            692 non-null    object 
 3   player_team                692 non-null    int64  
 4   player_position            692 non-null    object 
 5   price_cartoletas           692 non-null    float64
 6   score_mean                 692 non-null    float64
 7   score_no_cleansheets_mean  692 non-null    float64
 8   diff_home_away_s           692 non-null    float64
 9   n_games                    692 non-null    int64  
 10  score_mean_home            692 non-null    float64
 11  score_mean_away            692 non-null    float64
 12  shots_x_mean               692 non-null    float64
 13  fouls_mean                 692 non-null    float64
 14  RB_mean                    692 non-null    float64
 15  PE_mean                    692 non-null    float64
 16  A_mean                     692 non-null    float64
 17  I_mean                     692 non-null    float64
 18  FS_mean                    692 non-null    float64
 19  FF_mean                    692 non-null    float64
 20  G_mean                     692 non-null    float64
 21  DD_mean                    692 non-null    float64
 22  DP_mean                    692 non-null    float64
 23  status                     692 non-null    object 
 24  price_diff                 692 non-null    float64
 25  last_points                692 non-null    float64

我首先这样做：

df_agg = medias.groupby('player_slug').agg({'price_cartoletas':['mean']})

它给了我

DF_TEMP                price_cartoletas
                           mean
player_slug                    
abner-felipe               5.09
abner-vinicius             5.28
adalberto                  1.72
adilson                    8.75
adriano                    9.44
...                         ...
yuri                       1.99
yuri-lima                  2.04
ze-marcos                  1.64
ze-rafael                 10.35
zeca                       7.31

但是当我尝试对其进行排序时：

df_agg.sort_values('price_cartoletas', ascending=False)

我得到：

ValueError: The column label 'price_cartoletas' is not unique.
For a multi-index, the label must be a tuple with elements corresponding to each level.

我该如何排序？

Answer 1

您应该删除[]，这将在列上创建多个索引

df_agg = medias.groupby('player_slug').agg({'price_cartoletas':'mean'}).sort_values('price_cartoletas', ascending=False)

如果您想要多个索引，我们可以从sort_values

进行修复

df_agg = df_agg.sort_values(('price_cartoletas','mean'), ascending=False)

熊猫-ValueError：列标签不是唯一的

1 个答案: