AI engineering glossary · NumPy pandas visualization
What is drop_duplicates?
drop_duplicates: A pandas method that removes repeated rows, judged on all columns or on a chosen subset, and keeps the first or last occurrence. Duplicate records commonly come from repeated data loads and would otherwise inflate counts and sums.
drop_duplicates: an example
df.drop_duplicates(subset=['order_id']) keeps one row for each order number.
Related terms
More NumPy pandas visualization terms
Where you learn it
drop_duplicates is part of the AI Engineering Program, which teaches it with notes, a hands-on lab and an exam. The first lesson is free.