Creating animated data visualisations in Python is a great way to communicate complex information in a dynamic and engaging way. By using libraries such…
The PIL library allows us to easily load, save and edit images. We can easily load an image in the same folder as our…
Building on what you can do with event data from the Opta (or any other) event feed, we’re going to look at one way…
Cumulative line charts feature in loads of great and popular visualisations across the football analytics community. Most commonly, they are seen in xG or…
Joyplots are a way for us to show lots of density plots in one chart, while also adding a category that we can differentiate…
FC Python recently received a tweet from @fitbawnumbers applying our lollipop chart code to Pep’s win percentage. It was great to see this application…
Treemaps are visualisations that split the area of our chart to display the value of our datapoints. At their simplest, they display shapes in…