28. How to Merge and Join Tables in pandas for Blinkit Data
Chala mitrano, Chapter 8 madhe merge chi shuruat zali — aaj Blinkit-style tables: orders ⨝ stores ⨝ riders, how=, suffixes, indicator, anti-join, row-count checks. Model nahi. Many-to-many explosion Chapter 23 sobat yaad theva.
What you will learn in this chapter
- Why Blinkit-style analysis needs joins (not one flat dump forever)
mergehow= left / inner / outer on store and rider keys- Multi-key joins and safe suffixes
- Validate with shapes,
indicator=True, anti-joins - concat vs merge — when to stack vs join
- Common mistakes: key typos, duplicate keys, row explosion
- A Maharashtra practice lab you can copy
Fictional data
Blinkit / Amazon Now figures in this chapter are fictional sample data for learning only. They do not show real company numbers. People names are for practice; e-mails use example.com.
Concepts in this chapter
- 28.1Why Join Blinkit-Style Tables
- 28.2merge how=: left, inner, outer
- 28.3Multi-key Joins and Suffixes
- 28.4Validate: shape, indicator, anti-join
- 28.5Three-Table Path: orders ⨝ stores ⨝ riders
- 28.6Common Mistakes (Blinkit Flavour)
- 28.7Practice, Tip and Close
The chapter recap is at the end of the last concept page.