Texts, Fonts, and Annotations with Python’s Matplotlib

In this article, we’ll explore the functions of titles, subtitles and labels, get a look at how to add annotations to our charts and check how to use custom fonts in Matplotlib.

Data visualization is all about reducing complexity; we use graphical representations to make difficult concepts and insights more comfortable to understand.

Titles, subtitles, notes, annotations, and labels serve an essential function in this process. They guide our audience through the story we’re trying to tell, much like a narrator.

In this article, we’ll explore the functions of titles, subtitles and labels, get a look at how to add annotations to our charts and check how to use custom fonts in Matplotlib.

data-visualization python matplotlib text

Data visualization is the graphical representation of data in a graph, chart or other visual formats. It shows relationships of the data with images.

So here is my first blog regarding the data visualization with matplotlib in python. In this article we will cover the basic of the visualization with matplotlib.

In the programming world, Data types play an important role. Each Variable is stored in different data types and responsible for various functions. Python had two different objects, and They are mutable and immutable objects.

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