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_5

5. pandas: Reading and Writing Data

Fabio Nelli¹  

(1)

Rome, Italy

 

In the previous chapter, you became familiar with the pandas library and with the basic functionalities that it provides for data analysis. You saw that dataframes and series are the heart of this library. These are the material on which to perform all data manipulations, calculations, and analyses.

In this chapter, you’ll see all of the tools provided by pandas for reading data stored in many types of media (such as files and databases). In parallel, you’ll also see how to write data structures directly on these formats, ...