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.

本练习是课程的一部分

Data Transformation with Polars

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练习说明

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.

交互式实操练习

通过完成这段示例代码来试试这个练习。

# 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())

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