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.
Este exercício faz parte do curso
Data Transformation with Polars
Instruções do exercício
- Match
hotelstorequestswherepriceis at or belowmax_priceANDbedroomsis at or abovemin_bedrooms. - Print a few rows to verify the tighter matches.
Exercício interativo prático
Experimente este exercício completando este código de exemplo.
# 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.____())