Find Expensive Cities — LeetCode 2987 Python Solution
EasyLeetCode PremiumDatabase
- Problem
- #2987
- Reading time
- 2 min
- Source
- leetcode.com
Table schema
SQL
Table: Listings +-------------+---------+ | Column Name | Type | +-------------+---------+ | listing_id | int | | city | varchar | | price | int | +-------------+---------+ listing_id is column of unique values for this table. This table contains listing_id, city, and price.Example
SQL
+-------------+---------+
| Column Name | Type |
+-------------+---------+
| listing_id | int |
| city | varchar |
| price | int |
+-------------+---------+
listing_id is column of unique values for this table.
This table contains listing_id, city, and price.Python solution
Python
import duckdb
import pandas as pd
def solution(listings: pd.DataFrame) -> pd.DataFrame:
con = duckdb.connect()
con.register("Listings", listings)
return con.execute("""SELECT city
FROM Listings
GROUP BY city
HAVING AVG(price) > (SELECT AVG(price) FROM Listings)
ORDER BY 1;""").df()Complexity
| Measure | Complexity |
|---|---|
| Time | O(n log n) (typical) |
| Space | O(n) auxiliary |
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Frequently asked questions
- How hard is LeetCode 2987. Find Expensive Cities?
- LeetCode 2987. Find Expensive Cities is rated Easy on LeetCode.
- What topics does LeetCode 2987. Find Expensive Cities cover?
- LeetCode 2987. Find Expensive Cities is tagged Database on LeetCode.
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- Yes. LeetCode 2987. Find Expensive Cities is a LeetCode Premium problem, so the full statement and test cases require a paid LeetCode subscription.