如何使用一列的列名和另一列的列值重新创建新列

Question

我的数据框中有 2 列列表值，如下所示：

salary.labels   salary.percentages
['Not Impacted', 'Salary Not Paid', 'Salary Cut', 'Variables Impacted', 'Appraisal Delayed']    [29, 0.9, 2.2, 11.3, 56.6]
['Not Impacted', 'Salary Not Paid', 'Salary Cut', 'Variables Impacted', 'Appraisal Delayed']    [74.5, 1.1, 1.4, 12, 11]
['Not Impacted', 'Salary Not Paid', 'Salary Cut', 'Variables Impacted', 'Appraisal Delayed']    [63.4, 1.9, 2.2, 11.2, 21.3]
['Not Impacted', 'Salary Not Paid', 'Salary Cut', 'Variables Impacted', 'Appraisal Delayed']    [58.3, 0.6, 1.9, 7.9, 31.3]
['Not Impacted', 'Salary Not Paid', 'Salary Cut', 'Variables Impacted', 'Appraisal Delayed']    [80.4, 1.4, 2.2, 4.7, 11.3]
['Not Impacted', 'Salary Not Paid', 'Salary Cut', 'Variables Impacted', 'Appraisal Delayed']    [71.2, 0.9, 1.2, 6.3, 20.4]
['Not Impacted', 'Salary Not Paid', 'Salary Cut', 'Variables Impacted', 'Appraisal Delayed']    [39.9, 1.6, 5.8, 15.8, 36.9]
['Not Impacted', 'Salary Not Paid', 'Salary Cut', 'Variables Impacted', 'Appraisal Delayed']    [56.5, 0.8, 2.3, 9.8, 30.6]
['Not Impacted', 'Salary Not Paid', 'Salary Cut', 'Variables Impacted', 'Appraisal Delayed']    [42.9, 2.3, 5.1, 14.1, 35.6]

我希望创建新列，这样列标签将采用 salary.labels 列的值，并且每行中的列值将采用 salary.percentages 列中的相应值。

预期的输出数据框如下所示：

'Not Impacted' 'Salary Not Paid' 'Salary Cut' 'Variables Impacted' 'Appraisal Delayed'
29, 0.9, 2.2, 11.3, 56.6
74.5, 1.1, 1.4, 12, 11
63.4, 1.9, 2.2, 11.2, 21.3
58.3, 0.6, 1.9, 7.9, 31.3
80.4, 1.4, 2.2, 4.7, 11.3
71.2, 0.9, 1.2, 6.3, 20.4
39.9, 1.6, 5.8, 15.8, 36.9
56.5, 0.8, 2.3, 9.8, 30.6
42.9, 2.3, 5.1, 14.1, 35.6

如何使用 pandas 操作执行此操作？

Answer 1

如果 salary.labels 中的所有列表都相同，请使用 DataFrame 构造函数将第二列转换为列表和 salary.labels 第一行的列：

df = pd.DataFrame(df['salary.percentages'].tolist(), columns=df['salary.labels'].iloc[0])
print (df)
   Not Impacted  Salary Not Paid  Salary Cut  Variables Impacted  \
0          29.0              0.9         2.2                11.3   
1          74.5              1.1         1.4                12.0   
2          63.4              1.9         2.2                11.2   
3          58.3              0.6         1.9                 7.9   
4          80.4              1.4         2.2                 4.7   
5          71.2              0.9         1.2                 6.3   
6          39.9              1.6         5.8                15.8   
7          56.5              0.8         2.3                 9.8   
8          42.9              2.3         5.1                14.1   

   Appraisal Delayed  
0               56.6  
1               11.0  
2               21.3  
3               31.3  
4               11.3  
5               20.4  
6               36.9  
7               30.6  
8               35.6

如何使用一列的列名和另一列的列值重新创建新列

How to recreate new columns with column names from one column & column values from the other

python

pandas

data-cleaning

feature-extraction

feature-engineering