如何在 Pandas 中使用合并或 VLOOKUP 功能组合两个数据框

Question

I have two data frame:

df1

    EmID    Employee Name
0   12345   Frist Person
1   35658   Second Person
2   65865   Third Person
3   28568   Foo Person
4   26699   Boo Person

df2

    Manager ID  Subordinate ID
1   28568       35658   
2   12466       12358
3   35658       12345   

I want to merge this two data frames so that my output should looks like:

    Manger Name  Emp Name      
1   Foo Person  Second Person   

I have used df2.merge(df1, left_on = ManagerID, right_on = EmID) but I didn't get what I am looking for. I have also try to use for loop still doesn't give me the desired out put. Any idea? Thanks :)

Answer 1

Assuming all the id's in df2 are also present in df1 , we can set the index of df1 to EmpID and select Employee Name column to create replacement series, then use DataFrame.replace to substitute the values in df2 .

df3 = df2.replace(df1.set_index('EmID')['Employee Name'])
df3.columns = ['Manager name', 'Emp name']

---

>>> df3

    Manager name       Emp name
1     Foo Person  Second Person