Learn Python by Building Data Science Applications

Visualization

While we have all the stats for two types of islands, it is hard to make sense of the numbers. To help the case, let's visualize our data as a set of timelines. To do so, we'll use arguably the most popular (and one of the oldest) libraries for data visualization in Python, Matplotlib. We'll use Matplotlib extensively in the second part of this book, using more elegant interfaces, but, for now, let's keep it easy.

Here are the steps we need to take:

1. First, we'll import the library and prepare the Notebook to show plots within the Notebook itself, rather than in a separate window or as the library calls it, inline.
2. Next, we set up the 538 style for the visualization. This step is optional and the pick is arbitrary. Here is what ...