Fixing Python Pandas merge That Produces Duplicate Rows on Non-Unique Keys
Running pd.merge() and getting way more rows than expected? When join keys aren't unique on both sides, Pandas does a cartesian product on matches β and the result can silently balloon your DataFrame. Here's how to diagnose and fix it.