Question

我有一个通过xlwings检索的数据框。我想在A.OUT-B.IN和A.OUT-C.IN两列中产生两个结果，但始终显示NaN。有一组三个相同的MO。每个MO都有三个不同的挡块A，B，C。所有挡块都有输入量和输出量。要计算A.OUT-B.IN，需要使用A停止输出量减去B停止输入量的相同MO。 A.OUT-C.IN的差异是输入量为C档。如果获得NaN值该怎么办？我尝试将两个系列更改为数字，搜索google，然后阅读熊猫文档仍然找不到解决方案。

这是示例代码：

import pandas as pd
df = pd.DataFrame({'MO': ['510-20200701001', '510-20200701001', '510-20200701001', '510-20200701002', '510-20200701002', '510-20200701002', '510-20200701003', '510-20200701003', '510-20200701003', '510-20200701004', '510-20200701004', '510-20200701004', '510-20200701005', '510-20200701005', '510-20200701005', '510-20200701006', '510-20200701006', '510-20200701006'], 
                   'Stop Name': ['A', 'B', 'C', 'A', 'B', 'C', 'A', 'B', 'C', 'A', 'B', 'C', 'A', 'B', 'C', 'A', 'B', 'C'],
                   'Amount of Input': [21000, 22112, 22476, 12000, 12609, 12775, 15000, 15595, 15844, 600, 775, 790, 1000, 1149, 1176, 6000, 6225, 6289], 
                   'Amount of Output': [22400, 22057, 22330, 12800, 12586, 12685, 16000, 15587, 15718, 800, 775, 783, 1200, 1139, 1162, 6400 ,6225, 6278], 
                   'A.OUT-B.IN':['', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', ''], 'A.OUT-C.IN': ['', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', ''] })
df.loc[df['Stop Name'] == 'B', 'A.OUT-B.IN'] = df.loc[df['Stop Name'] == 'A', 'Amount of Output'] - df.loc[df['Stop Name'] == 'B', 'Amount of Input']
df.loc[df['Stop Name'] == 'C', 'A.OUT-C.IN'] = df.loc[df['Stop Name'] == 'A', 'Amount of Output'] - df.loc[df['Stop Name'] == 'C', 'Amount of Input']

这是输出

                     MO  Stop Name  Amount of Input Amount of Output    A.OUT-B.IN  A.OUT-C.IN
    0   510-20200701001          A            21000            22400        
    1   510-20200701001          B            22112            22057           NaN  
    2   510-20200701001          C            22476            22330                       NaN
    3   510-20200701002          A            12000            12800        
    4   510-20200701002          B            12609            12586           NaN  
    5   510-20200701002          C            12775            12685                       NaN
    6   510-20200701003          A            15000            16000        
    7   510-20200701003          B            15595            15587           NaN  
    8   510-20200701003          C            15844            15718                       NaN
    9   510-20200701004          A              600              800        
   10   510-20200701004          B              775              775           NaN  
   11   510-20200701004          C              790              783                       NaN
   12   510-20200701005          A             1000             1200        
   13   510-20200701005          B             1149             1139           NaN  
   14   510-20200701005          C             1176             1162                       NaN
   15   510-20200701006          A             6000             6400        
   16   510-20200701006          B             6225             6225           NaN  
   17   510-20200701006          C             6289             6278                       NaN

这里是输出内容

                     MO  Stop Name  Amount of Input Amount of Output    A.OUT-B.IN  A.OUT-C.IN
    0   510-20200701001          A            21000            22400        
    1   510-20200701001          B            22112            22057           288  
    2   510-20200701001          C            22476            22330                       -76
    3   510-20200701002          A            12000            12800        
    4   510-20200701002          B            12609            12586           191  
    5   510-20200701002          C            12775            12685                        25
    6   510-20200701003          A            15000            16000        
    7   510-20200701003          B            15595            15587           405  
    8   510-20200701003          C            15844            15718                       156
    9   510-20200701004          A              600              800        
   10   510-20200701004          B              775              775            25  
   11   510-20200701004          C              790              783                        10
   12   510-20200701005          A             1000             1200        
   13   510-20200701005          B             1149             1139            51  
   14   510-20200701005          C             1176             1162                        24
   15   510-20200701006          A             6000             6400        
   16   510-20200701006          B             6225             6225           175  
   17   510-20200701006          C             6289             6278                       111

Answer 1

如果知道所有相应向量的长度都是正确的，那么您可以做什么，只需在调用中添加“ .values”，如下所示。

import pandas as pd
df = pd.DataFrame({'MO': ['510-20200701001', '510-20200701001', '510-20200701001', '510-20200701002', '510-20200701002', '510-20200701002', '510-20200701003', '510-20200701003', '510-20200701003', '510-20200701004', '510-20200701004', '510-20200701004', '510-20200701005', '510-20200701005', '510-20200701005', '510-20200701006', '510-20200701006', '510-20200701006'],
                   'Stop Name': ['A', 'B', 'C', 'A', 'B', 'C', 'A', 'B', 'C', 'A', 'B', 'C', 'A', 'B', 'C', 'A', 'B', 'C'],
                   'Amount of Input': [21000, 22112, 22476, 12000, 12609, 12775, 15000, 15595, 15844, 600, 775, 790, 1000, 1149, 1176, 6000, 6225, 6289],
                   'Amount of Output': [22400, 22057, 22330, 12800, 12586, 12685, 16000, 15587, 15718, 800, 775, 783, 1200, 1139, 1162, 6400 ,6225, 6278],
                   'A.OUT-B.IN':['', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', ''], 'A.OUT-C.IN': ['', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', ''] })
df.loc[df['Stop Name'] == 'B', 'A.OUT-B.IN'] = df.loc[df['Stop Name'] == 'A', 'Amount of Output'].values - df.loc[df['Stop Name'] == 'B', 'Amount of Input'].values
df.loc[df['Stop Name'] == 'C', 'A.OUT-C.IN'] = df.loc[df['Stop Name'] == 'A', 'Amount of Output'].values - df.loc[df['Stop Name'] == 'C', 'Amount of Input'].values

减去两个熊猫系列

1 个答案: