的Python：數據幀轉換爲元組

Question

我試圖改變類似於下面的一個數據幀列：

index apple 
1  [(red,3),(green,2)] 
1  [(red,3)] 
1  [(yellow,9),(red,3)] 
1  [(green,2),(yellow,9)] 
1  [(green,2),(yellow,9), (pink,50)] 
2  [(yellow,14),(red,1)] 
2  [(green,5)] 

到這一點：

index apple_red apple_green apple_yellow apple_pink 
1  3   2   9   50 
2  1   5   14   0 

注意，元組是唯一每個索引中原創表 任何想法如何做到這一點？

感謝

Answer 1

您可以使用：

• 使用DataFrame構造與list comprehension
• 重塑通過stack，reset_index和drop_duplicates由元組創建
• 最後rehape列由set_index刪除重複和unstack
• 最後add_prefix，rename_axis和reset_index

---

df1 = pd.DataFrame([dict(x) for x in df['apple']], index=df.index) \ 
     .stack() \ 
     .astype(int) \ 
     .reset_index(name='val') \ 
     .drop_duplicates(['level_1','val']) \ 
     .set_index(['index', 'level_1'])['val'] \ 
     .unstack(fill_value=0) \ 
     .add_prefix('apple_') \ 
     .rename_axis(None) \ 
     .rename_axis(None, axis=1) \ 
     .reset_index() 
print (df1) 
    index apple_green apple_pink apple_red apple_yellow 
0  1   2   50   3    9 
1  2   5   0   1   14