Basic examples with the Python Matplotlib package

In this chapter, we will start with the most basic functionalities of the Matplotlib package. Let's first understand the elements to make a perfect statistical graph.

Elements of a statistical graph

Before we dive into Python code, l will give you an overview of how to decompose the components of a statistical graph. I personally think the philosophy that embeds the R ggplot2 package is very concise and clear.

Note

R is another famous programming language for data science and statistical analysis. There are also successful R packages. The counterpart of Matplotlib is the R ggplot2 package mentioned previously.

ggplot2 is a very successful visualization tool developed by Hadley Wickman. It decomposes a statistical plot into the following three components:

• Data: The data must have the information to display; otherwise, the plotting becomes totally misleading. The data can be transformed, such as with categorization...