Matplotlib Object-Oriented Approach

We’ve already seen how to do basic plotting. However, it’s generally recommended to use an object-oriented approach because it allows us much more control over our plots, as well as more customization options.

Let’s break down and learn the formal introduction of Matplotlib’s object-oriented API for plotting data.

The idea behind the object-oriented approach is that we create figure objects and then call methods or attributes from that object. This elegant approach is helpful when we are dealing with a canvas that has multiple plots on it.

To start, let’s create a figure instance fig1 and add axes to that figure: