seniorPandas
What is the difference between wide and long format data in Pandas?
Updated May 17, 2026
Short answer
Wide format has multiple columns per variable; long format stores variables in rows.
Deep explanation
Wide format spreads variables across multiple columns, making it human-readable but less flexible for analysis. Long format normalizes data into key-value pairs, enabling easier aggregation, plotting, and statistical modeling.
Unlock with a Pro subscription to view this section.
View pricingReal-world example
No real-world example available yet.
Unlock with a Pro subscription to view this section.
Upgrade to ProCommon mistakes
No common mistakes listed yet.
Unlock with a Pro subscription to view this section.
Upgrade to ProFollow-up questions
No follow-up questions available yet.
Unlock with a Pro subscription to view this section.
Upgrade to Pro