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Pandas for Data Visualization

7.1. Introduction

In the previous chapter, you saw how to work with the Pandas library for data analysis. You saw how to read CSV files into the Pandas dataframe, and how to analyze data by performing a variety of functions on the Pandas dataframe. In this chapter, you will see how the Pandas library can be used to plot different types of visualizations. As a matter of fact, the Pandas library is probably the easiest library for data plotting, as you will see in this chapter.

Requirements – Anaconda, Jupyter, Matplotlib, and Pandas

All the scripts in this book have been executed via the Jupyter notebook. Therefore, ...

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