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.

Questo esercizio fa parte del corso

Data Transformation with Polars

Visualizza corso

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 interattivo pratico

Prova questo esercizio completando questo 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.____())

Modifica ed esegui il codice