Customization in graph

Introduction

In this tutorial of matplotlib, we are going to talk about customization in graphs like how to add labels (% in graphs), rotating labels and adjust plots to make them look more pretty. In matplotlib, we can make graphs more customizable but one problem is that we have to write a whole lot of code to do that. But let’s jump into that, it is not much difficult we can achieve it in a few lines, it interesting to try different methods and attributes.

We have used one dataset throughout the series of matplotlib that is of Automobiles/Cars attributes and prices dataset. We have done some pre-processing in the dataset before being used for plotting. For that, you can refer to this blog.

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