Python Data Analytics: With Pandas, NumPy, and Matplotlib

© Fabio Nelli 2018

Fabio NelliPython Data Analyticshttps://doi.org/10.1007/978-1-4842-3913-1_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 functiona lities that it provides for data analysis. You saw that dataframe and series are the heart of this library. These are the material on which to perform all data manipulations, calculations, and analysis.

In this chapter, you will 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 will also see how to write data structures directly on these formats, without worrying too much about the technologies used.

This chapter ...