Advanced Tutorial: How to Master Matplotlib Like an Absolute Boss

<h2>I used to have a rule…</h2> When I was a beginner learning data visualization, I used to have a rule — never, ever visit the Matplotlib documentation. Nothing good ever came out of there. When I was on its pages, my eyes would process English words but, somehow, they were interpreted into my brain like I was deciphering a foreign language. Then I would stumble upon some masterpieces like <a href="https://ibexorigin.medium.com/yes-these-unbelievable-masterpieces-are-created-with-matplotlib-22780667dee" rel="noopener">these</a>, and I would think, do I even use the same library? Even if you are a seasoned programmer, I am sure you’ve faced similar challenges while learning Maplotlib. It is no easy library. There are so many classes and so damn many ways of doing the simplest tasks — utter confusion. If you are in that position or want to step up your Matplotlib game, I’ve got the guide you need. I will show you to reach deep into the roots of the Matplotlib jungle, set a fire on it, and fly out on a jetpack. Let’s start! <h2>Matplotlib artists</h2> Though exceptional programmers wrote Matplotlib, it consists of base classes called Artists. Every circle-annotated component of the plot is implemented as a separate class that inherits from the base artist. But this ability to represent everything as a class has its pros and cons. <a href="https://pub.towardsai.net/advanced-tutorial-how-to-master-matplotlib-like-an-absolute-boss-3362c8bfd829">Click Here</a>