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Stacking regional listings

You are a data analyst at an accommodation booking company. Your team received the listings data split across several files by region: coastal properties, inland properties, and island getaways. Before running any analysis, you need to combine these segmented DataFrames into one.

polars is loaded as pl. The DataFrames coastal, inland, and islands are available with matching columns describing each property.

Questo esercizio fa parte del corso

Data Transformation with Polars

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Istruzioni dell'esercizio

  • Combine coastal, inland, and islands into a single DataFrame called hotels by stacking the rows.
  • Print the first 10 rows to verify the result.

Esercizio pratico interattivo

Prova a risolvere questo esercizio completando il codice di esempio.

# Combine the regional DataFrames vertically
hotels = pl.____([coastal, inland, islands], how="____")

# Print the first 10 rows
print(hotels.____(____))
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