Stop Creating Boring Vanilla Plots — Use Matplotlib Annotations Instead

Every single tutorial or course I took did not care to spend more than 5 minutes explaining annotations in Matplotlib. If I googled the topic, the first 5–6 links are from Matplotlib documentation; the rest are just slightly altered versions of it. I found this frustrating because I was not a big fan of Matplotlib docs (until they changed it last year). So, for my future self and others, I decided to write a comprehensive tutorial on controlling annotations in Matplotlib. <h2>Setup</h2>   We will be using two datasets downloaded from Kaggle and one preloaded dataset from Seaborn. The first one is the Nobel Prize winners’ data from 1901 to 2016, and the stocks dataset contains stock prices for about 500 companies.   For the rest of the article, it helps if you know how to work with the OOP interface of Matplotlib. If you don’t, here is a helpful article <a href="https://pub.towardsai.net/stop-creating-boring-vanilla-plots-use-matplotlib-annotations-instead-b0ecf5a0ddf4">Visit Now</a>