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Search some values inside a dataframe and modify some rows using Python

I have a dataframe that I need to process using Python. The dataframe represents source data and has the following structure:

Centre de profit No Piece FI EOTP OS No Tiers SAP CP intitulé du poste
7N6D 10 5D 74LB 15565 150
7N6D 12 5D 98LB 15565 -150 BLABLA 200 blabla
8DNS 13 9D 924L 19895 90 blablabal
8DIZ 15 D2 295K 29855 924
2SED 200 68C 38DI 15565 150
8DIZ 18 D2 590D 29855 -924
4949D 97812 5959D 1984 29855 924

In the next step, I want to find values X and Y that cancel each other based on the "CP" column and that are inside the same "Centre de profit". Then, using the absolute value of the "CP" of Y, along with the "No Tiers SAP" and "EOTP" values of the Y row, I want to find the Z row. Additionally, in some cases, the "intitulé du poste" column contains a number that corresponds to a "No Piece FI" If such a number exists, it represents also the Z row.

Here is the intermediate table:

Centre de profit No Piece FI EOTP OS No Tiers SAP CP intitulé du poste XYZ
7N6D 10 5D 74LB 15565 150 X1
7N6D 12 5D 98LB 15565 -150 BLABLA 200 blabla Y1
8DNS 13 9D 924L 19895 90 blablabal
8DIZ 15 D2 295K 29855 924 X2
2SED 200 68C 38DI 15565 150 Z1
8DIZ 18 D2 590D 29855 -924 Y2
4949D 97812 5959D 1984 29855 924 Z2

Next, I want to take the "OS" and "EOTP" values from the Y row and add them as new columns "OS cor" and "EOTP cor" to the Z row. If there is a "No Piece FI" inside the "intitulé du poste" column that matches the "No Piece FI" value, I also want to add 100% to a "Fiability" column; otherwise, I'll add 50%.

The expected output would be:

Centre de profit No Piece FI EOTP OS No Tiers SAP CP intitulé du poste XYZ Work-on-it OS cor EOTP cor Fiability
7N6D 10 5D 74LB 15565 150 X1 Canceled
7N6D 12 5D 98LB 15565 -150 BLABLA 200 blabla Y1 Canceled
8DNS 13 9D 924L 19895 90 blablabal
8DIZ 15 D2 295K 29855 924 X2 Canceled
2SED 200 68C 38DI 15565 150 Z1 Corrected 98LB 5D 100%
8DIZ 18 D2 590D 29855 -924 Y2 Canceled
4949D 97812 5959D 1984 29855 924 Z2 Correct 590D D2 50%

Thanks you, if you have any questions I'm here.



source https://stackoverflow.com/questions/76401956/search-some-values-inside-a-dataframe-and-modify-some-rows-using-python
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