我有这个从 csv 导入的 Pandas df：
df
0 0 apple banana orange dates apple banana orange
1 1 1 1 1 Friday, January 01, 2021 1 1 1
2 2 1 1 1 Saturday, January 02, 2021 2 2 2
3 3 1 1 1 Sunday, January 03, 2021 3 3 3
4 4 1 1 1 Monday, January 04, 2021 4 4 4
5 5 1 1 1 Tuesday, January 05, 2021 5 5 5
6 6 1 1 1 Wednesday, January 06, 2021 6 6 6
7 7 1 1 1 Thursday, January 07, 2021 7 7 7
8 8 1 4 1 Friday, January 08, 2021 8 8 8
9 9 1 1 1 Saturday, January 09, 2021 9 9 9
是否可以将左侧的所有内容都分组fresh到多spoil索引格式的列下并将日期右侧的所有内容分组到列下。例如，有一列包含[苹果、香蕉、橙子]。我想这样做是因为稍后当我将日期设置为索引时，不会出现混淆，因为列的两侧都具有相同的名称。
df.columns = pd.MultiIndex.from_arrays([['', '', 'fresh', 'fresh', 'fresh', '', 'spoil', 'spoil', 'spoil'],
df.columns])
输出：
fresh spoil
0 0 apple banana orange dates apple banana orange
0 1 1 1 1 1 Friday, January 01, 2021 1 1 1
1 2 2 1 1 1 Saturday, January 02, 2021 2 2 2
2 3 3 1 1 1 Sunday, January 03, 2021 3 3 3
3 4 4 1 1 1 Monday, January 04, 2021 4 4 4
4 5 5 1 1 1 Tuesday, January 05, 2021 5 5 5
5 6 6 1 1 1 Wednesday, January 06, 2021 6 6 6
6 7 7 1 1 1 Thursday, January 07, 2021 7 7 7
7 8 8 1 4 1 Friday, January 08, 2021 8 8 8
8 9 9 1 1 1 Saturday, January 09, 2021 9 9 9
注意。如果你想set_index('dates')在这个操作之前做，这会更容易
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