尝试循环遍历股票价格收盘时出现Python错误

我正试图循环浏览股票价格CSV，以便添加投资组合权重等列，以便在一个数据框架中构建投资组合进行分析。然而，当循环时，我得到一个我不理解的错误：

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())

以下是错误：

runfile('C:/Users/Joe Shiafa Pierce/.spyder-py3/portfolio.py', wdir='C:/Users/Joe Shiafa Pierce/.spyder-py3')
Traceback (most recent call last):

  File "<ipython-input-82-6a3db40a9a10>", line 1, in <module>
    runfile('C:/Users/Joe Shiafa Pierce/.spyder-py3/portfolio.py', wdir='C:/Users/Joe Shiafa Pierce/.spyder-py3')

  File "C:\Users\Joe Shiafa Pierce\Anaconda3\lib\site-packages\spyder_kernels\customize\spydercustomize.py", line 786, in runfile
    execfile(filename, namespace)

  File "C:\Users\Joe Shiafa Pierce\Anaconda3\lib\site-packages\spyder_kernels\customize\spydercustomize.py", line 110, in execfile
    exec(compile(f.read(), filename, 'exec'), namespace)

  File "C:/Users/Joe Shiafa Pierce/.spyder-py3/portfolio.py", line 34, in <module>
    stock_df['Norm return'] = stock_df['Adj Close']/stock_df.iloc[0]['Adj Close']

  File "C:\Users\Joe Shiafa Pierce\Anaconda3\lib\site-packages\pandas\core\series.py", line 868, in __getitem__
    result = self.index.get_value(self, key)

  File "C:\Users\Joe Shiafa Pierce\Anaconda3\lib\site-packages\pandas\core\indexes\datetimes.py", line 958, in get_value
    raise KeyError(key)

KeyError: 'Adj Close'

runfile（'C:/Users/Joe Shiafa Pierce/.spyder-py3/portfolio.py'，wdir='C:/Users/Joe Shiafa Pierce/.spyder-py3'）
回溯（最近一次呼叫最后一次）：
文件“”，第1行，在
运行文件（'C:/Users/Joe Shiafa Pierce/.spyder-py3/portfolio.py'，wdir='C:/Users/Joe Shiafa Pierce/.spyder-py3'）
文件“C:\Users\Joe Shiafa Pierce\Anaconda3\lib\site packages\spyder\u kernels\customize\spydercurcstomize.py”，第786行，在runfile中
execfile（文件名、命名空间）
文件“C:\Users\Joe Shiafa Pierce\Anaconda3\lib\site packages\spyder\u kernels\customize\spydercurcstomize.py”，第110行，在execfile中
exec（编译（f.read（），文件名，'exec'），命名空间）
文件“C:/Users/Joe Shiafa Pierce/.spyder-py3/portfolio.py”，第34行，在
股票指数['Norm return']=股票指数['Adj Close']/股票指数iloc[0]['Adj Close']
文件“C:\Users\Joe Shiafa Pierce\Anaconda3\lib\site packages\pandas\core\series.py”，第868行，在\uu getitem中__
结果=self.index.get_值（self，key）
文件“C:\Users\Joe Shiafa Pierce\Anaconda3\lib\site packages\pandas\core\index\datetimes.py”，第958行，在get\U值中
升起钥匙错误（钥匙）
KeyError:“调整关闭”

我不得不将IICSV中的“Adjusted_close”标题更改为“Adj close”，因为它来自另一个数据集，并且for循环无法使用不同的列标题。谢谢你的帮助

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假设这些系列的列名为stock，则可以避免循环 通过将它们连接到一个数据帧中并避免出现

KeyError

stocks = ['GSK.L', 'OCDO.L', 'RBS.L', 'SVT.L']
df = web.DataReader(stocks, 'yahoo',start,end).reset_index(drop=True)
iii_df = pd.read_csv("iii (1).csv", parse_dates=['Date']) # reset_index if needed

stock_df = pd.concat([df, iii_close], axis=1, ignore_index=True)
stock_df['Norm return'] = stock_df / stock_df.loc[0]
stock_df['Allocation'] = stock_df['Norm return'] * [.0881,.233,.160,.0776,.304,.137]
stock_df['Position'] = stock_df['Allocation'] * 6503800000

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您能显示您的df吗？其中一个数据帧中没有该键，我想Peerror:无法使用这些索引器对其进行索引[0]尝试您的解决方案并得到以下结果：^^