Hadoop MapReduce |(Hadoop MapReduce | SMA in python)

 我对Python和MapReduce比较陌生。 我正在尝试使用Python中的Ta-Lib库来计算简单移动平均线（SMA）。 我有这样的数据框： 
 
             AA     BB  
2008-03-05  36.60  36.60  
2008-03-04  38.37  38.37  
2008-03-03  38.71  38.71  
2008-03-02  38.00  38.00
2008-03-01  38.32  38.32
2008-02-29  37.14  37.14     
 
 AA和BB是股票代码，显示了6天的价值。 
 有人可以帮我从这里出去吗 ？ 地图应该执行什么以及应该减少哪些输入？ 
 
 最终产出应打印股票A和B的SMA。 

I'm relatively new to Python and MapReduce. I'm trying to calculate Simple Moving Average(SMA) using Ta-Lib library in Python. I have a data frame like this: 
 
             AA     BB  
2008-03-05  36.60  36.60  
2008-03-04  38.37  38.37  
2008-03-03  38.71  38.71  
2008-03-02  38.00  38.00
2008-03-01  38.32  38.32
2008-02-29  37.14  37.14     
 
AA and BB are the stock symbols and their values for 6 days are shown.
 Can anyone help me out here ? What should be the map perform and what input should Reduce get ?
 
The final output should print the SMAs for the stocks A and B.

原文：https://stackoverflow.com/questions/33994829