Ranking albums with tie handling
Your record company publishes an internal leaderboard each week based on the Spotify dataset. Tie handling can change how artists are perceived - several albums share the same listener counts, so you need to compare how different ranking methods handle ties.
polars is loaded as pl. The DataFrame spotify with streaming metrics is preloaded for you.
Diese Übung ist Teil des Kurses
Data Transformation with Polars
Anleitung zur Übung
- Create a ranking of
monthly_listenersin descending order, aliasing asrank_default. - Add a second ranking with leaderboard-style tie handling, aliasing as
rank_min.
Interaktive Übung
Vervollständige den Beispielcode, um diese Übung erfolgreich abzuschließen.
# Rank albums by monthly_listeners with default and min tie handling
result = spotify.with_columns(
pl.col("monthly_listeners")
.____(descending=____)
.alias("rank_default"),
pl.col("monthly_listeners")
.rank(method="____", ____=True)
.alias("rank_min"),
).sort("rank_default")
print(result.head())