compare two different DataFrames

Question

i'm newbie in Pandas, please help. I got two DataFrames to compare DF1:

Code	Product	Day	C_Code	Name	Qty
001	Prod_X	01.01.2022	C_0001	Mr_X	12
002	Prod_Y	01.01.2022	C_0001	Mr_X	24
001	Prod_X	15.01.2022	C_0002	Mr_X	12
002	Prod_Y	16.01.2022	C_0003	Mr_X	24
001	Prod_X	17.01.2022	C_0004	Mr_X	12

DF2:

Day	C_Code	Name	Qty
01.01.2022	C_0001	Mr_X	36
15.01.2022	C_0002	Mr_X	12
16.01.2022	C_0003	Mr_X	12

Column Day & Column C_Code unique.Conditions if DF1[ Day ]&[ C_Code ] == DF2 [ Day ]&[ C_Code ] then compare QTY , if DF1.sum[ QTY ]<= DF2[ QTY ] write row into DF3, if DF1[ QTY ] > DF2[ QTY ] then row from DF1 write into DF3 and put value from DF2[ QTY ], difference between DF1[ QTY ] and DF2[ QTY ] write into DF4. in the output should be

Correct List:

Code	Product	Day	C_Code	Name	Qty
001	Prod_X	01.01.2022	C_0001	Mr_X	12
002	Prod_Y	01.01.2022	C_0001	Mr_X	24
001	Prod_X	15.01.2022	C_0002	Mr_X	12
002	Prod_Y	16.01.2022	C_0003	Mr_X	12

Incorrect List:

Code	Product	Day	C_Code	Name	Qty
002	Prod_Y	16.01.2022	C_0003	Mr_X	12
001	Prod_X	17.01.2022	C_0004	Mr_X	12

How i understand i need to use groupBy, but i don't understand how a lot of tnx for help!

Answer 1

import pandas as pd 你试过了吗？

df = pd.merge(DF1, DF2, how='left', on='Day', indicator=True)