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.

Diese Übung ist Teil des Kurses

<Kurs>Data Transformation with Polars</Kurs>

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Übungsanweisungen

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.

Interaktive praktische Übung

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

# 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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