Excel vlookup in python dataframe-CodePudding

How can i make vlookup like in excel to pandas, i'm totally begginer in python. My first and second dataframe like this

data_01 = pd.DataFrame({'Tipe Car':['A', 'B', 'C', 'D'], 'Branch':['UD', 'UA', 'UK', 'UA'], 'Area':['1A', '1B', '1C', '1D']})
data_02 = pd.DataFrame({'Tipe Car':['A', 'B', 'E', 'F'], 'Branch':['UD', 'UA', 'UK', 'UA']})

and then expected output is

data_03 = pd.DataFrame({'Tipe Car':['A', 'B', 'E', 'F'], 'Branch':['UD', 'UA', 'UK', 'UA'], 'Area':['1A', '1B', 'NaN', 'NaN']})

CodePudding user response：

Use pandas.DataFrame.join

import pandas as pd

df1 = pd.DataFrame({'Tipe Car':['A', 'B', 'C', 'D'], 'Branch':['UD', 'UA', 'UK', 'UA'], 'Area':['1A', '1B', '1C', '1D']})
df2 = pd.DataFrame({'Tipe Car':['A', 'B', 'E', 'F'], 'Branch':['UD', 'UA', 'UK', 'UA']})

df1.set_index('Tipe Car').join(df2.set_index('Tipe Car'), how='right', lsuffix='_df1', rsuffix='_df2')
>>>
         Branch_df1 Area Branch_df2
Tipe Car                           
A                UD   1A         UD
B                UA   1B         UA
E               NaN  NaN         UK
F               NaN  NaN         UA

CodePudding user response：

You could use .merge():

data_03 = data_02.merge(data_01, on=["Tipe Car", "Branch"], how="left")

Result:

  Tipe Car Branch Area
0        A     UD   1A
1        B     UA   1B
2        E     UK  NaN
3        F     UA  NaN