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Category:Autodesk Category:Persistent Deletion softwareQ: Compare values from same row in pandas I have a data frame and I want to change the values in the data frame to reflect the difference between the two same row values. For example: df = pd.DataFrame({"call_id": [1,2,2,2,2], "id": [1,2,3,4,5], "value": [20,10,30,40,50]}) I want it to look like this: call_id id value 0 1 1 0 1 2 2 10 2 2 3 30 3 2 4 40 4 2 5 50 A: I think you need create new column by groupby and add new column by diff and last using DataFrame.assign with df.assign: df = df.assign(val=df.groupby('id').value.transform('diff')).loc[df.call_id.ne(df.groupby('id')['call_id'].transform('nunique'))] print (df) call_id id value val 0 1 1 20 0 1 2 2 10 1 2 2 3 30 0 3 2 4 40 0 4 2 5 50 0 As of 1 January 2006, DC Comics broke up the divisions that had been working on the DC Comics titles. Previously, stories were developed for both the DC, Vertigo and Wildstorm lines and, now,



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