d1 = df1.filter(items=['col_a']) # len(d1) = 900
d2 = df.filter(items=['col_a']) # len(d2) = 920
d1 ---------->
    col_a
0   802584
1   408852
2   408311
3   409633
4   801848
5   123123
6   232333
d2 ---------->
    col_a
0   802584
1   408852
2   408311
3   409633
4   801848
col_a is integer value and I want to compare between d1 and d2 to extract differences.
How can I get a new dataframe that includes only 20 values for col_a?
In this situation, I want to get
new_df ----->
     col_a
0    123123
1    232333
 
     
    