EasyNo. 2985LeetCode Premium

Calculate Compressed Mean — LeetCode 2985 Python Solution

Topics
Database
Reading time
2 min

Table schema

SQLTable schema
Table: Orders +-------------------+------+ | Column Name | Type | +-------------------+------+ | order_id | int | | item_count | int | | order_occurrences | int | +-------------------+------+ order_id is column of unique values for this table. This table contains order_id, item_count, and order_occurrences.

Example

SQLExample
+-------------------+------+
| Column Name       | Type |
+-------------------+------+
| order_id          | int  |
| item_count        | int  |
| order_occurrences | int  |
+-------------------+------+
order_id is column of unique values for this table.
This table contains order_id, item_count, and order_occurrences.

Python solution

PythonSolution
import duckdb
import pandas as pd

def solution(orders: pd.DataFrame) -> pd.DataFrame:
    con = duckdb.connect()
    con.register("Orders", orders)
    return con.execute("""SELECT
    ROUND(
        SUM(item_count * order_occurrences) / SUM(order_occurrences),
        2
    ) AS average_items_per_order
FROM Orders;""").df()

Complexity

Time
O(n log n)(typical)
Space · auxiliary
O(n)

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Frequently asked questions

How hard is LeetCode 2985. Calculate Compressed Mean?

LeetCode 2985. Calculate Compressed Mean is rated Easy on LeetCode.

What topics does LeetCode 2985. Calculate Compressed Mean cover?

LeetCode 2985. Calculate Compressed Mean is tagged Database on LeetCode.

Is LeetCode 2985. Calculate Compressed Mean a premium problem?

Yes. LeetCode 2985. Calculate Compressed Mean is a LeetCode Premium problem, so the full statement and test cases require a paid LeetCode subscription.

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