在python中创建额外级别的标题（熊猫）

-1

我是一个编程新手，但目前与数据框一起工作。我试图将当前的数据框叠加到特定的“设计”上。目前我正在处理更大的文件和大量的数据。不过，我无法根据自己的需要堆叠（）我的数据，而且形状总是一团糟。我需要帮助如何定义多重索引，创建更多层次。在python中创建额外级别的标题（熊猫）

我希望你能帮助我，我粘贴一个例子

我从我的代码获得（前堆（））：

Exports  NaN  NaN  NaN  Net Exports  NaN  NaN 
0  Total Sweden Norway Germany  Total Sweden Norway  
1  1032.8  358 239.7 435.1  636.8 274.1  9.7 
2  1198.8 556.4 211.8 430.6  846.3 522.6  -1.1 `

与栈（）：

 
    Exports   Total 
    NaN    Sweden 
    NaN    Norway 
    NaN    Germany 
    Net Exports  Total 
    NaN    Sweden 
    NaN    Norway 
    NaN    Germany 
    NaN     GWh 
1 Exports   1032.8 
    NaN     358 
    NaN    239.7 
    NaN    435.1 
    Net Exports  636.8 
    NaN    274.1 
    NaN     9.7 
    NaN     353

预先感谢您帮助我走出

来源

2017-08-02 BEAst

你如何读文件到数据帧？从excel？ – jezrael

是的，我这样做。但是我必须删除行和列，因此要访问我感兴趣的表，通常只需在r = pd.read_excel（header = [0,1]）中添加。然而，因为我已经修改了原始数据块到较小的我不能这样做 – BEAst

我想你需要：

print (r.head()) 
    Unnamed: 18 Unnamed: 19 Unnamed: 20 Unnamed: 21 Unnamed: 22 Unnamed: 23 \ 
0  Exports   NaN   NaN   NaN Net Exports   NaN 
2   Total  Sweden  Norway  Germany   Total  Sweden 
189  1032.8   358  239.7  435.1   636.8  274.1 
190  1198.8  556.4  211.8  430.6   846.3  522.6 
191  982.7  159.3  166.2  657.2   276.3  -156.8 

    Unnamed: 24 Unnamed: 25  Unit: 
0   NaN   NaN  NaN 
2  Norway  Germany  GWh 
189   9.7   353 January 
190  -1.1  324.8 February 
191  -105.9   539  March

#create index from column Unit 
r = r.set_index('Unit:') 
#create Multiindex from first and second row 
#NaNs in frst row was replace by ffill - forward filling fillna() 
r.columns= pd.MultiIndex.from_arrays([r.iloc[0].ffill(), r.iloc[1]], names=(None, None)) 
#remove first and second row 
r = r.iloc[2:] 

print (r.head()) 
     Exports      Net Exports      
      Total Sweden Norway Germany  Total Sweden Norway Germany 
Unit:                  
January 1032.8 358 239.7 435.1  636.8 274.1 9.7  353 
February 1198.8 556.4 211.8 430.6  846.3 522.6 -1.1 324.8 
March  982.7 159.3 166.2 657.2  276.3 -156.8 -105.9  539 
April  962.3 22.1  62 878.2  -268.6 -741.3 -352.9 825.6 
May  951.2 13.5 15.9 921.8  -511.5 -885.2 -496.4 870.1 

print (r.stack().head(10)) 
       Exports Net Exports 
Unit:         
January Germany 435.1   353 
     Norway 239.7   9.7 
     Sweden  358  274.1 
     Total 1032.8  636.8 
February Germany 430.6  324.8 
     Norway 211.8   -1.1 
     Sweden 556.4  522.6 
     Total 1198.8  846.3 
March Germany 657.2   539 
     Norway 166.2  -105.9

来源

2017-08-02 13:20:51 jezrael

在python中创建额外级别的标题（熊猫）

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