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.
Cet exercice fait partie du cours
<cours>Scaling and Optimizing Data Pipelines with Polars</cours>Instructions de l’exercice
- Explode the
genreslist column so each genre has its own row. - Compute the top 10 most common genres using a sorted value count.
Exercice interactif pratique
Essayez cet exercice en complétant ce code d’exemple.
# 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)