I have a dataframe like this

Data = pd.read_csv('info_com.csv')
df1 = pd.DataFrame(Data)

This DF has a column ‘Code’, that includes all product codes, and the DF pretty much includes all the information of said products. So, I have a list with the codes of interest, but in reality, I need two df, one with the rows of the “good codes” and one with the bad codes.

I tried doing some kind of sort, and a loop

   ComDF1 = df1['Codes']
   goodCodes = ['B0CD3589HR' ... 'B0CD726Q8T']


  for i in range(len(ComDF1)):
     if ComDF1[i] in goodCodes:
       df1.iloc[i].append(dfWP)
     else:
       df1.iloc[i].append(dfNWP)

  print(dfWP, dfNWP)

And expected two DF with all the info of every product, sorted by the existence or the absence of the column value in the list…