Introduction

The combination of IPython + Jupyter + Pandas makes it easy to interact with and display your data. Not surprisingly, these tools are easy to customize and configure for your own needs. This article summarizes some of the most useful and interesting options.

For this particular post, I will show the detailed examples in a Notebook since it is easiest to see and simple to share. Feel free to review and post any comments or questions below.

If you would like to download the dataset and follow along, it’s here.