我有數據,並且必須使用熊貓進行處理,這是示例的代碼:組合兩個柱大熊貓值成一個
d = [
(1,70399,0.988375133622),
(1,33919,0.981573492596),
(1,62461,0.981426807114),
(579,1,0.983018778374),
(745,1,0.995580488899),
(834,1,0.980942505189)
]
df = pd.DataFrame(d, columns=['source', 'target', 'weight'])
source_old = df.source.copy()
>>> source_old
source_old
0 1
1 1
2 1
3 579
4 745
5 834
但我需要source_old包含target
太像:
0 1
1 1
2 1
3 579
4 745
5 834
6 33919
7 62461
8 70399
我怎麼用熊貓做到這一點? THX
@ihsansat用於設置索引排序做'source_old = source_old.reset_index()' –