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.

Latihan ini adalah bagian dari kursus

Data Transformation with Polars

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Petunjuk latihan

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.

Latihan interaktif praktis

Cobalah latihan ini dengan menyelesaikan kode contoh berikut.

# 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())

Edit dan Jalankan Kode