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.
Este exercício faz parte do curso
Data Transformation with Polars
Instruções do exercício
- Create a ranking of
monthly_listenersin descending order, aliasing asrank_default. - Add a second ranking with leaderboard-style tie handling, aliasing as
rank_min.
Exercício interativo prático
Experimente este exercício completando este código de exemplo.
# 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())