Pandas analogue to SQL MINUS / EXCEPT operator, using multiple columns

Question

I\'m looking for the fastest and idiomatic analog to SQL MINUS (AKA EXCEPT) operator.

Here is what I mean - given two Pandas DataFrames as follows:

I         


        

Answer 1

We can use pandas.concat with drop_duplicates here and pass it the argument to drop all duplicates with keep=False:

pd.concat([d1, d2]).drop_duplicates(['a', 'b'], keep=False)

   a  b  c
1  0  1  2
2  1  0  3
6  2  2  7

Edit after comment by OP

If you want to make sure that unique rows in df2 arnt taken into account, we can duplicate that df:

pd.concat([d1, pd.concat([d2]*2)]).drop_duplicates(['a', 'b'], keep=False)

   a  b  c
1  0  1  2
2  1  0  3
6  2  2  7