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If some model, in this case a row, was included in the last week's table, but is missing in current week's table, I want to assign a new field "Expired" in a new column "Status" next to it./ Or create a new dataframe, d2_expires, from only those missing rows.However, I am trying to replicate the following output With this package d2_additional shows if there are new rows associated with model numbers added this week compared to last week. Next,Importing dataframe_diff package from dataframe_diff import dataframe_diffĮxecuting the difference d1_column,d2_additional=dataframe_diff(df1,df2,key=) The objective here is to delete the entire rows where the expiry date is below a specific date/ today's date. I want to set a logic similar to excel logic '=IF (D2week's table df1=pd.read_csv(r"C:\Users\ri0a\OneDrive - Department of Environment, Land, Water and Planning\Python practice\pvmodules+_210326.csv") The code is as follows import pandas as pd

I require an assistant with coding a comparison between two tables in python, that is currently done in winmerge.