9 Pandas Tricks in Python You Should Know: Real-World Examples to Boost Your Data Analysis Skills
5 min read5 days ago
Pandas is an essential library for anyone working with data in Python. Whether you’re just starting out or an experienced data scientist, mastering Pandas can save you time and make your data wrangling much more efficient. But did you know that Pandas has a lot of hidden gems that can help you work smarter, not harder?
In this article, I’m going to walk you through 9 powerful Pandas tricks that will make your life easier, complete with real-world examples so you can see how they apply to actual data problems.
1. Change Display Settings for Better Viewing
Sometimes, Pandas outputs more data than you can comfortably view, or you may want to see more than the default 20 rows or 10 columns.
Output:
