Removing rows from dataframe that occurs in another dataframe

Question

I have a problem with removing rows from dataframe that occurs in another dataframe. Below simple example and expected results.

df1

A	B
Z	1
X	2
C	3
V	4

df2

A	B
DD	66
Z	1
X	2
CC	55

Expected output, df2 but rows that occur in df1 are dropped.

new df2:

A	B
DD	66
CC	55

Edit: I need to match both A and B.

Answer 1

use pandasql:

df2.sql("select * from self where not exists (select 1 from df1 where df1.A=self.A and df1.B=self.B)",df1=df1)

output:

    A   B
0  DD  66
3  CC  55

Answer 2

IIUC, you can use a reverse merge with help of indicator=True:

(df2
 .merge(df1, how='left', indicator=True) # if unrelated columns use on=['A', 'B']
 .loc[lambda d: d.pop('_merge').eq('left_only')]
)

output:

    A   B
0  DD  66
3  CC  55