Pandas Merging 101
This post aims to give readers a primer on SQL-flavored merging with Pandas, how to use it, and when not to use it. In particular, here’s what this post will go through: The basics – types of joins (LEFT, RIGHT, OUTER, INNER) merging with different column names merging with multiple columns avoiding duplicate merge key … Read more