答案 0 :(得分:1)
IIUC,您可以尝试以下方法:
df = pd.DataFrame({'Date':['11/1/2018']*5+['11/2/2018']*5,
'Stock':['AAPL','SHOP','FB','F','C']*2,
'Price':np.random.randint(20,75,10)})
df['Date'] = pd.to_datetime(df['Date'])
df.set_index(df['Date'], append=True)\
.rename_axis(['Index','DateGroup'], axis=0)\
.swaplevel(0,1)\
.sort_index()
输出:
Date Stock Price
DateGroup Index
2018-11-01 0 2018-11-01 AAPL 26
1 2018-11-01 SHOP 21
2 2018-11-01 FB 65
3 2018-11-01 F 55
4 2018-11-01 C 47
2018-11-02 5 2018-11-02 AAPL 45
6 2018-11-02 SHOP 67
7 2018-11-02 FB 24
8 2018-11-02 F 52
9 2018-11-02 C 47