Pandas is an industry standard for analyzing data in Python. With a few keystrokes, you can load, filter, restructure, and visualize gigabytes of hete

Pandas Illustrated: The Definitive Visual Guide to Pandas

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2023-01-27 09:00:11

Pandas is an industry standard for analyzing data in Python. With a few keystrokes, you can load, filter, restructure, and visualize gigabytes of heterogeneous information. Built on top of the NumPy library, it borrows many of its concepts and syntax conventions, so if you are comfortable with NumPy, you’ll find Pandas a pretty familiar tool. And even if you’ve never heard of NumPy, Pandas provides a great opportunity to crack down on data analysis problems with little or no programming background.

There’re a lot of Pandas guides out there. In this particular one, you’re expected to have a basic understanding of NumPy. If you don’t, I’d suggest you skim through the NumPy Illustrated guide to get an idea of what a NumPy array is, in which ways it is superior to a Python list and how it helps avoid loops in elementary operations.

And you need to give answers to basic questions like “Which cities have an area over 450 km² and a population under 10 million” with NumPy.