PandasdrillRemove duplicate records
A pandas exercise from Pandasdrill. Solve it with a Python editor in your browser running real pandas, and it is checked the moment you submit.
The task
The `leads` table has repeated emails. Keep only the most recent row for each email, which is the last one in the table. Keep the original row labels.
What this exercise teaches
Rows only count as duplicates on the columns in subset. keep="last" keeps the final occurrence of each email, which is the newest record here. With no subset, rows that differ in source or score are not duplicates at all.
A hint if you get stuck
drop_duplicates takes subset (which columns define a duplicate) and keep ("first" or "last").
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