如何将当前的输出修改为底部描述的输出排列？我试过堆叠和取消堆叠，但我似乎无法击中钉子。非常感谢您的帮助。
我的代码：
portfolio_count = 0
Equity_perportfolio = []
Portfolio_sequence = []
while portfolio_count < 1:
# declaring list
list = Tickers
portfolio_count = portfolio_count + 1
# initializing the value of n (Number of assets in portfolio)
n = 5
# printing n elements from list (add number while printing the potential portfolio)
potential_portfolio = random.sample(list, n)
print("Portfolio number", portfolio_count)
print(potential_portfolio)
#Pull 'relevant data' about the selected stocks. (Yahoo API?) # 1. df with Index Date and Closing
price_data_close = web.get_data_yahoo(potential_portfolio,
start = '2012-01-01',
end = '2021-03-31')['Close']
price_data = web.get_data_yahoo(potential_portfolio,
start = '2012-01-01',
end = '2021-03-31')
print(price_data)
这给了我以下结构：（忽略 NaN）
Attributes Adj Close ... Volume
Symbols D HOLX PSX ... PSX MGM PG
Date ...
2012-01-03 36.209511 17.840000 NaN ... NaN 25873300.0 11565900.0
2012-01-04 35.912926 17.910000 NaN ... NaN 14717400.0 10595400.0
2012-01-05 35.837063 18.360001 NaN ... NaN 12437500.0 10085300.0
2012-01-06 35.471519 18.570000 NaN ... NaN 9079700.0 8421200.0
2012-01-09 35.423241 18.520000 NaN ... NaN 15750100.0 7836100.0
... ... ... ... ... ... ... ...
2021-03-25 75.220001 71.050003 82.440002 ... 2613300.0 9601500.0 7517300.0
2021-03-26 75.779999 73.419998 84.309998 ... 2368900.0 7809100.0 10820100.0
2021-03-29 76.699997 74.199997 82.529999 ... 1880600.0 7809700.0 11176000.0
2021-03-30 75.529999 73.870003 82.309998 ... 1960600.0 5668500.0 8090600.0
2021-03-31 75.959999 74.379997 81.540001 ... 2665200.0 7029900.0 9202600.0
但是，我希望它以这种格式输出：
Date Symbols Open High Low Close Volume Adjusted
04/12/2020 MMM 172.130005 173.160004 171.539993 172.460007 2663600 171.050461
07/12/2020 MMM 171.720001 172.5 169.179993 170.149994 2526800 168.759323
08/12/2020 MMM 169.740005 172.830002 169.699997 172.460007 1730800 171.050461
08/12/2020 MMM 169.740005 172.830002 169.699997 172.460007 1730800 171.050461
11/12/2020 D 172.300003 174.649994 172.169998 174.020004 1875700 172.597702
11/12/2020 D 172.300003 174.649994 172.169998 174.020004 1875700 172.597702
11/12/2020 D 172.300003 174.649994 172.169998 174.020004 1875700 172.597702
14/12/2020 D 175.669998 176.199997 172.990005 173.080002 3700100 171.66539
14/12/2020 D 175.669998 176.199997 172.990005 173.080002 3700100 171.66539
14/12/2020 PSX 175.669998 176.199997 172.990005 173.080002 3700100 171.66539
14/12/2020 PSX 175.669998 176.199997 172.990005 173.080002 3700100 171.66539
15/12/2020 PSX 174.389999 175.059998 172.550003 174.679993 2270600 173.252304
18/12/2020 PSX 176.759995 177.460007 175.110001 176.419998 4682000 174.978088
18/12/2020 PSX 176.759995 177.460007 175.110001 176.419998 4682000 174.978088
23/12/2020 PG 175.300003 175.809998 173.960007 173.990005 1762600 172.567963
28/12/2020 PG 175.309998 176.399994 174.389999 174.710007 1403000 173.282074
29/12/2020 PG 175.550003 175.639999 173.149994 173.850006 1218900 172.429108
31/12/2020 PG 174.119995 174.869995 173.179993 174.789993 1841300 173.361404
05/01/2021 PG 172.009995 173.25 170.649994 171.580002 2295300 170.177643
07/01/2021 MMM 171.559998 173.460007 166.160004 169.720001 5863400 168.332855
07/01/2021 MMM 171.559998 173.460007 166.160004 169.720001 5863400 168.332855
07/01/2021 MMM 171.559998 173.460007 166.160004 169.720001 5863400 168.332855
08/01/2021 MMM 169.169998 169.539993 164.610001 166.619995 4808100 165.258179
13/01/2021 MMM 167.270004 167.740005 166.050003 166.279999 2098000 164.920959
15/01/2021 MMM 165.630005 166.259995 163.380005 165.550003 3550700 164.19693
19/01/2021 MMM 167.259995 169.550003 166.800003 169.119995 3903200 167.737747