我有这样的数据框：
A B C X Y Z
date
2019-01-31 36.702825 8.831252 9.124721 ... 15.756895 23.751749 14.302236
2019-02-28 21.504067 14.770565 13.041766 ... 13.943546 14.926297 10.217897
2019-03-31 20.078406 12.043094 10.554525 ... 14.639879 16.181830 9.323363
2019-04-30 27.999145 20.750256 14.764175 ... 19.198583 34.720155 14.848743
2019-05-31 41.000193 32.882699 22.216196 ... 12.456686 25.575870 23.992338
2019-06-30 40.556729 23.978055 19.153607 ... 6.842362 16.513900 15.272578
2019-07-31 29.078029 17.985517 14.643413 ... 3.050022 8.132830 16.308373
2019-08-31 27.112164 9.858052 8.937836 ... 2.262817 7.479062 5.585339
2019-09-30 20.024406 9.447190 14.392237 ... 5.294295 12.842446 5.903679
2019-10-31 22.915759 13.837986 14.953670 ... 8.535875 17.521138 11.786335
2019-11-30 34.703259 15.155604 14.417056 ... 13.144339 22.338212 11.466941
2019-12-31 46.503348 13.743729 14.931167 ... 19.290583 32.929933 10.952393
2020-01-31 29.675003 8.379851 14.468729 ... 15.650744 16.282521 7.096934
2020-02-29 30.004760 13.031752 11.191522 ... 21.680589 14.149599 8.901123
我想逐一检查。我想对每个索引执行此过程。为了说明一个索引：
2020-02-29
A 30.004760
B 13.031752
C 11.191522
. .
. .
. .
X 21.680589
Y 14.149599
Z 8.901123
如何获得此输出？
答案 0 :(得分：0)
如果您希望将其作为数据框，则可以执行以下操作：
for idx, row in df.iterrows():
row_df = pd.DataFrame(row)