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.
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
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