Phase 1: pandas Mastery · ~25 minutes · Python · pandas
Sorting and Ranking
A sorted DataFrame rearranges rows. It was never promised to renumber them — the 'gaps' in the index are the original row positions, not a bug.
Hiring signal: Doesn't mistake a sorted DataFrame's preserved original index for a bug, and reaches for .nlargest()/.nsmallest() when that's genuinely the more direct tool
What you will learn
- Sort a DataFrame by one or more columns, ascending or descending
- Use .nlargest()/.nsmallest() as a more direct alternative to sort_values().head()
- Explain why a sorted DataFrame's index isn't sequential
- Answer real ranking questions using sorted or ranked real data
Introduction
Type: Learn Languages: Python, pandas Prerequisites: Lesson 01 (Selecting and Filtering) Time: ~25 minutes
Objective
Learning objectives
- Sort a DataFrame by one or more columns, ascending or descending
- Use
.nlargest()/.nsmallest() as a more direct alternative to sort_values().head() - Explain why a sorted DataFrame's index isn't sequential
- Answer real ranking questions using sorted or ranked real data
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