spotify-notebook

A Jupyter notebook for visualizing a user's top artist / track data in Spotify.

Top Track Attribute Heatmap:

Top Tracks:

User Genres:

Time range can be configured by setting the t_range variable. Acceptable values include:

• short_term
• medium_term
• long_term

Track Attributes:

• Danceability
• Energy
• Loudness
• Speechiness
• Acousticness
• Instrumentalness
• Liveness
• Valence
• Tempo

Getting Started

1. Sign up for a free Spotify Developer account.
2. Create a custom Spotify app via the App Dashboard, adding http://localhost:8080 as a valid redirect URI.
3. Add your Spotify as a valid user under the 'Users and Access' section of the custom Spotify app.
4. Rename sample.env to .env.
5. Populate the missing .env values from the custom Spotify app.
6. [OPTIONAL] Enable Python virtual environment.
7. Install requirements: pip install -r requirements.txt.
8. Run the notebook: jupyter notebook.

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