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

<Kurs>Data Transformation with Polars</Kurs>

Kurs ansehen

Übungsanweisungen

Create a ranking of monthly_listeners in descending order, aliasing as rank_default.
Add a second ranking with leaderboard-style tie handling, aliasing as rank_min.

Interaktive praktische Übung

Versuche dich an dieser Übung, indem du diesen Beispielcode vervollständigst.

# 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())

Code bearbeiten und ausführen