Counting genre popularity
To find the most common genres across the catalog, reshape the genres list column so each genre lands on its own row, then compute a sorted value count to see which genres top the list.
The movies DataFrame is preloaded for you.
Este exercicio faz parte do curso
Scaling and Optimizing Data Pipelines with Polars
Instruções do exercicio
- Explode the
genreslist column so each genre has its own row. - Compute the top 10 most common genres using a sorted value count.
exercicio interativo prático
Tente este exercicio completando este código de exemplo.
# Put each genre on its own row
genres = movies.select("genres").____("genres")["genres"]
# Rank by frequency
result = genres.drop_nulls().____(sort=True).head(10)
print(result)