While I am not really a sports fan, I am a fan of stats. So Lebron breaking an almost 4 decade old record for all time scoring during the regular season is something that I can appreciate. I was reminded of the research work of a faculty member from my university which combined data science and collegiate basketball. I remember seeing a scatterplot but the X & Y coordinates are spatial information of game events.
I became inspired to map out all of Lebron’s career points. First I needed to learn how to get the data. Luckily, I am the only one who is interested in this. I have followed this blog post and accessed the NBA’s stats API to scrape all of Lebron’s shots. I don’t think this result includes all free throws though but that is good enough for me.
The Matplotlib hex bin plot is nice and all, but I wanted to add more interactivity. I moved on to using Plotly Express. I followed this article which provided me the code of drawing the basketball court in Plotly. I wanted to plot the cumulative points for each season. Unfortunately cumulative plotting is not directly supported so I had to wrangle the data frame a little bit. After a few more tweaks I was able to create the visualization below:
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