Graphing Data with Python

You just took a course on Python or are working on your data analytics skills. However, creating visualizations was skimmed over and you were left feeling that there’s more to learn. How can you feel confident in creating the kind of graphs that your instructor was making?

This course gets granular about using Matplotlib with Python. It shows you how to access, use, and understand the Artist class to get you going on your Python journey. There are multiple ways to use Matplotlib (API, or Artist class), and many found out later that, although they started with the API, they like the Artist class approach better.

Unfortunately, the API is easier to learn so most courses just cover techniques for using the library.

Additionally, you’ll learn about how to use Plotly to create:

Bar charts (stacked, horizontal)

Statistical graphs

3D plots

It’s frustrating to have an understanding of Numpy, Pandas, and Scipy but are unable to visualize the data the way you want. I’ve been in that place, so I went out and taught it to myself. Now, I want to share the step–by–step approach I took, so we can all stop struggling with Python visualizations.

Although I use Pandas and Numpy to manipulate and manage data in the course, knowledge of those two libraries is not required.