Hi Abhinesh,
As drop duplicates keeps first record, you can keep some id for 1st and 2nd
df and then
Union -> sort on that id -> drop duplicates.
This will ensure records from 1st df is kept and 2nd are dropped.
Regards
Dhaval
On Sat, Sep 14, 2019 at 4:41 PM Abhinesh Hada wrote:
> Hey Nathan,
Hey Nathan,
As the dataset is very huge, I am looking for ways that involve minimum
joins. I will give a try to your approach.
Thanks a lot for your help.
On Sat, Sep 14, 2019 at 12:58 AM Nathan Kronenfeld
wrote:
> It's a bit of a pain, but you could just use an outer join (assuming there
> are
