当我下载多个代码并按代码分组时，如何索引调整收盘价以计算一只股票的平均值？

Question

我正在尝试计算每个股票的平均调整收盘价，但我不确定如何索引调整价格

               ADDYY                          ...     BAS.DE                      
                  Open        High         Low  ...      Close  Adj Close     Volume
Date                                            ...                                 
2018-12-31  104.599998  105.050003  104.190002  ...        NaN        NaN        NaN
2019-01-02  105.419998  105.559998  104.449997  ...  60.720001  48.283272  2564044.0
2019-01-03  105.809998  105.889999  104.510002  ...  60.020000  47.726646  2213589.0
2019-01-04  107.550003  109.190002  107.550003  ...  63.189999  50.247360  4197991.0
2019-01-07  108.610001  109.180000  108.419998  ...  62.900002  50.016762  2437345.0
                ...         ...         ...  ...        ...        ...        ...
2019-12-25         NaN         NaN         NaN  ...        NaN        NaN        NaN
2019-12-26  162.059998  162.199997  160.850006  ...        NaN        NaN        NaN
2019-12-27  162.800003  163.570007  162.360001  ...  67.900002  56.472588  1640149.0
2019-12-30  164.000000  164.000000  162.009995  ...  67.349998  56.015144   936462.0
2019-12-31  161.990005  163.210007  161.990005  ...        NaN        NaN        NaN

Answer 1

adjClose = df.loc[:,"Adj Close"].copy()
 

应该给你一个新的 dataframe ，其中只有你想要的每个股票的列，然后

如果这不是您需要的解决方案或者您想阅读它，请尝试搜索“分层索引”