DataFrame看起来像这样:
Date Symbol Open High Low Close Volume
2016-01-04 AAPL 102.61 105.368 102.00 105.35 67649387.0
2016-01-05 AAPL 105.75 105.850 102.41 102.71 55790992.0
2016-01-06 KO 100.56 102.370 99.87 100.70 68457388.0
我试图让它看起来像这样:
Open High Low Close Volume
Symbol Date
AAPL 2016-01-04 102.61 105.368 102.00 105.35 67649387.0
2016-01-05 105.75 105.850 102.41 102.71 55790992.0
2016-01-06 100.56 102.370 99.87 100.70 68457388.0
KO 2016-01-04 102.61 105.368 102.00 105.35 67649387.0
2016-01-05 102.61 105.368 102.00 105.35 67649387.0
2016-01-06 102.61 105.368 102.00 105.35 67649387.0
我试过了:
mydata.groupby(['Symbol','Date']).agg()
我也尝试过reset_index并合并索引,但没有成功
答案 0 :(得分:2)
如果我明白你的观点..
@ApiMethod(..., path = "/test/imprimirPersona")