Compare Multiple Columns to Get Rows that are Different in Two Pandas Dataframes

Question

I have two dataframes:

df1=
    A    B   C
0   A0   B0  C0
1   A1   B1  C1
2   A2   B2  C2

df2=
    A    B   C
0   A2   B2  C10
1   A1   B3  C11
2   A9   B4         


        

Answer 1

 ~df1['A'].isin(df2['A'])

Should get you the series you want

df1[ ~df1['A'].isin(df2['A'])]

The dataframe:

    A   B   C
0   A0  B0  C0