Filtering with multiple conditions

Budget alone can still return unsuitable homes - a cheap studio won't work for a family needing multiple bedrooms. Tighten the match by adding a second condition: listings must also have at least as many bedrooms as the request requires.

polars is loaded as pl, and the DataFrames hotels and requests are available for you.

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Data Transformation with Polars

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Istruzioni dell'esercizio

Match hotels to requests where price is at or below max_price AND bedrooms is at or above min_bedrooms.
Print a few rows to verify the tighter matches.

Esercizio pratico interattivo

Prova a risolvere questo esercizio completando il codice di esempio.

# Match on budget and bedroom requirements
matches = hotels.join_where(
    ____,
    pl.col("price") <= pl.col("____"),
    pl.col("bedrooms") >= pl.col("____")
)

# Print a few rows
print(matches.____())

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