我最初有以下数据框：
cat cat 1 1 1 1 1
dog 0 0 0 0 0
fox 0 0 0 0 0
jumps 1 1 1 1 1
mouse 1 1 1 1 1
over 1 1 1 1 1
the 1 1 1 1 1
dog cat 0 0 0 0 0
dog 1 1 1 1 1
fox 1 1 1 1 1
jumps 1 1 1 1 1
mouse 0 0 0 0 0
over 1 1 1 1 1
the 1 1 1 1 1
fox cat 0 0 0 0 0
dog 1 1 1 1 1
fox 1 1 1 1 1
jumps 1 1 1 1 1
mouse 0 0 0 0 0
over 1 1 1 1 1
the 1 1 1 1 1
jumps cat 1 1 1 1 1
dog 1 1 1 1 1
fox 1 1 1 1 1
jumps 1 1 1 1 1
mouse 1 1 1 1 1
over 1 0 1 1 1
the 1 0 1 1 1
mouse cat 1 1 1 1 1
dog 0 0 0 0 0
fox 0 0 0 0 0
jumps 1 1 1 1 1
mouse 1 1 1 1 1
over 1 1 1 1 1
the 1 1 1 1 1
over cat 1 1 1 1 1
dog 1 1 1 1 1
fox 1 1 1 1 1
jumps 1 1 0 1 0
mouse 1 1 1 1 1
over 1 1 1 1 1
the 1 0 1 1 1
the cat 1 1 1 1 1
dog 1 1 1 1 1
fox 1 1 1 1 1
jumps 1 1 0 1 1
mouse 1 1 1 1 1
over 1 1 0 1 0
the 1 1 1 1 1
然后我使用以下内容将其转换为JSON格式：
JSON = df.reset_index().to_json()
（reset_index（）因为你无法直接将multiindex df转换为JSON）
然后我使用以下内容将其恢复为DataFrame（）格式：
new_df = pd.read_json(JSON)
但现在当我打印它时，它会显示以下数据框：
0 1 1 1 1 1 cat cat
1 0 0 0 0 0 cat dog
10 1 1 1 1 1 dog jumps
11 0 0 0 0 0 dog mouse
12 1 1 1 1 1 dog over
13 1 1 1 1 1 dog the
14 0 0 0 0 0 fox cat
15 1 1 1 1 1 fox dog
16 1 1 1 1 1 fox fox
17 1 1 1 1 1 fox jumps
18 0 0 0 0 0 fox mouse
19 1 1 1 1 1 fox over
2 0 0 0 0 0 cat fox
20 1 1 1 1 1 fox the
21 1 1 1 1 1 jumps cat
22 1 1 1 1 1 jumps dog
23 1 1 1 1 1 jumps fox
24 1 1 1 1 1 jumps jumps
25 1 1 1 1 1 jumps mouse
26 1 0 1 1 1 jumps over
27 1 0 1 1 1 jumps the
28 1 1 1 1 1 mouse cat
29 0 0 0 0 0 mouse dog
3 1 1 1 1 1 cat jumps
30 0 0 0 0 0 mouse fox
31 1 1 1 1 1 mouse jumps
32 1 1 1 1 1 mouse mouse
33 1 1 1 1 1 mouse over
34 1 1 1 1 1 mouse the
35 1 1 1 1 1 over cat
36 1 1 1 1 1 over dog
37 1 1 1 1 1 over fox
38 1 1 0 1 0 over jumps
39 1 1 1 1 1 over mouse
4 1 1 1 1 1 cat mouse
40 1 1 1 1 1 over over
41 1 0 1 1 1 over the
42 1 1 1 1 1 the cat
43 1 1 1 1 1 the dog
44 1 1 1 1 1 the fox
45 1 1 0 1 1 the jumps
46 1 1 1 1 1 the mouse
47 1 1 0 1 0 the over
48 1 1 1 1 1 the the
5 1 1 1 1 1 cat over
6 1 1 1 1 1 cat the
7 0 0 0 0 0 dog cat
8 1 1 1 1 1 dog dog
9 1 1 1 1 1 dog fox
正如您所看到的，结构已完全改变。在转换到JSON和从JSON转换过程中，有什么方法可以保持我的Dataframe结构完全相同吗？
答案 0 :(得分：1)
此处的索引只是添加了sort_index
pd.read_json(JSON).sort_index()