我尝试循环股票价格csv，以添加列，如投资组合权重等，以便在一个 Dataframe 中建立一个投资组合进行分析。然而，当循环时，我得到了一个错误，我不明白：

gsk_df = web.DataReader("GSK.L", 'yahoo', start=start, end=end)
ocdo_df = web.DataReader("OCDO.L", 'yahoo', start=start, end=end)
rbs_df = web.DataReader("RBS.L", 'yahoo', start=start, end=end)
svt_df = web.DataReader("SVT.L", 'yahoo', start=start, end=end)
iii_df = pd.read_csv("iii (1).csv", parse_dates=['Date'])

#close of each stock

bp_close = bp_df["Adj Close"]
gsk_close = gsk_df["Adj Close"]
ocdo_close = ocdo_df["Adj Close"]
rbs_close = rbs_df["Adj Close"]
svt_close = svt_df["Adj Close"]
iii_close = iii_df["Adj Close"]

#adding normalised returns for portfolio
for stock_df in (bp_close, gsk_close, ocdo_close, rbs_close, svt_close, iii_close):
    stock_df['Norm return'] = stock_df['Adj Close']/stock_df.iloc[0]['Adj Close']

#adding portfolio weights

for stock_df, allocation in zip((bp_close, gsk_close, ocdo_close, rbs_close, svt_close, iii_close),[.0881,.233,.160,.0776,.304,.137]):
    stock_df['Allocation']=stock_df['Norm return']*allocation
    
#portfolio position value column
for stock_df in (bp_close, gsk_close, ocdo_close, rbs_close, svt_close, iii_close):
    stock_df['Position'] = stock_df['Allocation']*6503800000
    
print(bp_close.head())

下面是错误：
键错误："调整关闭"

I had to change the "Adjusted_close" heading to "Adj close" in the iii csv as it was from another data set and the for loop would not function with different column headers. Thanks for the help.

[![enter image description here][1]][1]

  [1]: https://i.stack.imgur.com/iFv6N.jpg