#166: Export your Matplotlib Plots
Creating plots in Matplotlib is fun. But when we only can use the visualisations inside our Jupyter notebook we cannot fully benefit from our work. Let us change that and export our plots into various formats.
Creating plots in Matplotlib is fun. But when we only can use the visualisations inside our Jupyter notebook we cannot fully benefit from our work. Let us change that and export our plots into various formats.
One of the main concepts you need to understand early on with Matplotlib is the idea of figures and axes. Today we explore these terms and find out how we can create them in code.
The more complex the data, the more helpful a good visual representation is. Python offers us such a wide range of tools to visualise our data that it is difficult to make a choice. Therefore, we will look at a few different approaches to data visualisation in the coming months to use the right tool for our use cases.