Question

我在不同的计算机上运行了一些pcmark测试。最后，我想巩固机器结果。我已经修改了要显示的最终结果。我已经尝试过使用熊猫进行不同形式的合并，但是我无法获得预期的结果，但这已经足够接近了。任何建议将不胜感激

计算机1的数据帧：

|------------|---------------------------|--------------|------------|  
|Test Case   | SubTest                   | App          | Count      |  
|------------|---------------------------|--------------|------------|   
|pcmark10    | AppStartUp                | NaN          | NaN        |  
|pcmark10    | PhotoEditing              | NaN          | NaN        |  
|pcmark10    | RenderingAndVisualization | NaN          | NaN        |  
|pcmark10    | Spreadsheet               | soffice.bin  | 1.0        |  
|pcmark10    | VideoConferencing         | NaN          | NaN        |  
|pcmark10    | VideoEditing              | NaN          | NaN        |  
|pcmark10    | WebBrowsing               | NaN          | NaN        |  
|pcmark10    | Writing                   | NaN          | NaN        |  
|------------|---------------------------|--------------|------------|

计算机2的数据帧：

|------------|---------------------------|--------------|------------|  
|Test Case   | SubTest                   | App          | Count      |  
|------------|---------------------------|--------------|------------|   
|pcmark10    | AppStartUp                | NaN          | NaN        |  
|pcmark10    | PhotoEditing              | NaN          | NaN        |  
|pcmark10    | RenderingAndVisualization | NaN          | NaN        |  
|pcmark10    | Spreadsheet               | NaN          | NaN        |  
|pcmark10    | VideoConferencing         | NaN          | NaN        |  
|pcmark10    | VideoEditing              | NaN          | NaN        |  
|pcmark10    | WebBrowsing               | chrome.exe   | 2          |  
|pcmark10    | Writing                   | NaN          | NaN        |  
|------------|---------------------------|--------------|------------|

我希望结果看起来像这样：

|------------|---------------------------|--------------|------------|------------|  
|Test Case   | SubTest                   | App          | Count_x    | Count_y    |
|------------|---------------------------|--------------|------------|------------|
|pcmark10    | AppStartUp                | NaN          | NaN        | NaN        |  
|pcmark10    | PhotoEditing              | NaN          | NaN        | NaN        |  
|pcmark10    | RenderingAndVisualization | NaN          | NaN        | NaN        |  
|pcmark10    | Spreadsheet               | soffice.bin  | 1.0        | NaN        |  
|pcmark10    | VideoConferencing         | NaN          | NaN        | NaN        |  
|pcmark10    | VideoEditing              | NaN          | NaN        | NaN        |    
|pcmark10    | WebBrowsing               | chrome.exe   | NaN        | 2          |  
|pcmark10    | Writing                   | NaN          | NaN        | NaN        |  
|------------|---------------------------|--------------|------------|------------|

我尝试了合并所有键的外部合并这就是我得到的。使用外部功能可以将pcmark10的行值引导为空白。应用列中缺少Chrome。

|------------|---------------------------|--------------|------------|------------|  
|Test Case   | SubTest                   | App          | Count_x    | Count_y    |
|------------|---------------------------|--------------|------------|------------|
|pcmark10    | AppStartUp                | NaN          | NaN        | NaN        |  
|pcmark10    | PhotoEditing              | NaN          | NaN        | NaN        |  
|pcmark10    | RenderingAndVisualization | NaN          | NaN        | NaN        |  
|pcmark10    | Spreadsheet               | soffice.bin  | 1.0        | NaN        |  
|pcmark10    | VideoConferencing         | NaN          | NaN        | NaN        |  
|pcmark10    | VideoEditing              | NaN          | NaN        | NaN        |    
|pcmark10    | WebBrowsing               | NaN          | NaN        | 2          |  
|pcmark10    | Writing                   | NaN          | NaN        | NaN        |  
|------------|---------------------------|--------------|------------|------------|

合并命令：- pd.merge（df1，df2，on = ['Test Case'，'SubTest'，'App']，how =“ outer”，indicator = True）

Answer 1

以您为例，在Test Case和SubTest上合并，然后使用ffill或bfill创建App：

(df1.merge(df2, on=['Test Case', 'SubTest'])
    .assign(App=lambda x: x.filter(like='App').bfill(1).iloc[:,0])
    .drop(['App_x','App_y'], axis=1)
)

输出：

  Test Case                    SubTest  Count_x  Count_y          App
0  pcmark10                 AppStartUp      NaN      NaN          NaN
1  pcmark10               PhotoEditing      NaN      NaN          NaN
2  pcmark10  RenderingAndVisualization      NaN      NaN          NaN
3  pcmark10                Spreadsheet      1.0      NaN  soffice.bin
4  pcmark10          VideoConferencing      NaN      NaN          NaN
5  pcmark10               VideoEditing      NaN      NaN          NaN
6  pcmark10                WebBrowsing      NaN      2.0   chrome.exe
7  pcmark10                    Writing      NaN      NaN          NaN

数据合并熊猫

1 个答案: