Creating a Categorical column
Back to the movie dataset from the streaming startup. Most rows in original_language use the same handful of codes (en, fr, es, …). Casting to Categorical encodes each unique label as an integer behind the scenes, saving memory on repeated strings.
Cet exercice fait partie du cours
<cours>Scaling and Optimizing Data Pipelines with Polars</cours>Instructions de l’exercice
- Cast the
original_languagecolumn topl.Categorical.
Exercice interactif pratique
Essayez cet exercice en complétant ce code d’exemple.
movies_cat = movies.with_columns(
# Cast to Categorical to save memory
pl.col("original_language").____(pl.____)
)
result = movies_cat.select("movie_title", "original_language").head(8)
print(result)