A while back I requested my listening data from Spotify (an online streaming service). Once I got my data, I decided that I wanted to figure out some personal trends that I had and was thinking of a few fun plots to make along the way. These plots are as follows:
- Top 100 Artists
- Monthly listening
- Peak listening for top artists
- Typical weekly listening habits
Below is my code to make this all work, but before you run this you will need the following packages installed:
numpypandasmatplotlibseaborn
You can either install these into your own enviornment or create an nplt_env conda environment by running conda env create -f enviornment.yml.
To recreate this with your own listening data, simply request your listening data from Spotify (a tutorial is on this website) and move your StreamingHistoryX.json files into this directory. And if you have any suggestions of more fun plots, feel free to open issues!