Python Data Analytics: With Pandas, NumPy, and Matplotlib

© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2023

F. NelliPython Data Analyticshttps://doi.org/10.1007/978-1-4842-9532-8_4

4. The pandas Library—An Introduction

Fabio Nelli¹  

(1)

Rome, Italy

 

This chapter gets into the heart of this book: the pandas library. This fantastic Python library is a perfect tool for anyone who wants to perform data analysis using Python as a programming language.

First you’ll learn about the fundamental aspects of this library and how to install it on your system, and then you’ll become familiar with the two data structures, called series and dataframes. During the course of the chapter, you’ll work with a basic set of functions provided by the pandas library, in order to perform ...