drop duplicate rows core interview pattern Pattern
1 problems
Pattern pages help build reusable solving frames. Identify signals first, then explain state, transition, and edge handling.
Recognition Signals
- The candidate demonstrates proficiency with pandas functions.
- They understand how to manipulate dataframes effectively for cleaning tasks.
Solve Flow
- 1. Define the active state/window.
- 2. Update state while preserving invariants.
- 3. Validate with edge-heavy examples.
Common Misses
- Forgetting to specify the `subset` argument in `drop_duplicates()` may result in duplicates being removed from all columns, not just the email column.