Summary

In this chapter, we used the Python plotting library Matplotlib to create, customize, and save plots using the functional approach. We then covered the importance of a descriptive title and created our own descriptive, programmatic titles. However, the functional approach does not create a callable figure object and it does not return subplots. Thus, to create a callable figure object with the potential of numerous subplots, we created, customized, and saved our plots using the object-oriented approach. Plotting needs can vary analysis to analysis, so covering every possible plot in this chapter is not practical. To create powerful plots that meet the needs of each individual analysis, it is imperative to become familiar with the documentation and examples found on the Matplotlib documentation page.

In the subsequent chapter, we will apply some of these plotting techniques as we dive into machine learning using scikit-learn.