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…
Tracking technology has been a part of football analysis for the past 20 years, giving access to data on physical performance and heat map…
Pass maps are an established visualisation in football analysis, used to show the area of the pitch where a player made their passes. You’ll…
There are lots of reasons why we might want to draw a line or circle on our charts. We could look to add an…
In football analysis and video games, radar charts have been popularised in a number of places, from the FIFA series, to Ted Knutson’s innovative…
I tend to think that pie charts should be avoided in 99% of the cases that they are used in. Unless your goal is…
Matplotlib’s chart functions are quite simple and allow us to create graphics to our exact specification. The example below will plot the Premier League…
Matplotlib’s chart functions are quite simple and allow us to create graphics to our exact specification. The example below will plot the Premier League…
Across Python’s many visualisation libraries, you will find several ways to create scatter plots. Matplotlib, being one of the fundamental visualisation libraries, offers perhaps…