根据列号将三个excel文件中的某些列组合到一个pandas DF中-使用python pandas

Question

I have three excel files that was read to pandas DFs, the tables are below: DF1:

Column A	Column B
F	G
M	K

DF2:

Column A	Column B
J	D
N	L

DF3:

Column A	Column B	Column C
J	E	Y
N	Q	V
J	D	B
E	B	F

What I want to do is creating a fourth DF containing joined certain columns from the dataframes (Based on the column index) from the dataframes. for DF4, what I want it to be: 1)(Column A from DF1) with (Column C from Df3) with (Column A from DF2)
2)(Column B from DF1) with (Column A from Df3) with (Column B from DF2)

The expected result of DF4:

Char 1	CHAR2
F	G
M	K
Y	J
V	N
B	J
F	E
J	D
N	L

what I wrote for now: `

import pandas as pd
NUR = pd.read_excel(r'C:\Users\jalal.hasain\Desktop\Copy of NUR Data 20-12.xlsx', 
                   sheet_name=['2G','3G','4G'])

DF1=NUR.get('2G')
DF2=NUR.get('3G')
DF3=NUR.get('4G')

`

Thanks in advance.

Answer 1

Use concat with get columns in expected order in list for DF3 with set columns names by DataFrame.set_axis :

df = pd.concat([DF1, 
                DF3[['Column C','Column A']].set_axis(['Column A','Column B'], axis=1), 
                DF2], ignore_index=True)
print (df)
  Column A Column B
0        F        G
1        M        K
2        Y        J
3        V        N
4        B        J
5        F        E
6        J        D
7        N        L