© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2022
A. PajankarHands-on Matplotlibhttps://doi.org/10.1007/978-1-4842-7410-1_16

16. Visualizing Data with Pandas and Matplotlib

Ashwin Pajankar1  
(1)
Nashik, Maharashtra, India
 

In the previous chapter, you learned how to read the data stored in various file formats into Python variables using NumPy, Pandas, and Matplotlib.

You should be comfortable working with data now. In this chapter, you will practice writing programs related to another important and practical aspect of the field of data science: dataset visualization. This chapter contains lots of examples of short code snippets to demonstrate how to create visualizations of datasets. So, let’s continue our ...

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