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Leetcode #2228: Users With Two Purchases Within Seven Days

In this guide, we solve Leetcode #2228 Users With Two Purchases Within Seven Days in Python and focus on the core idea that makes the solution efficient.

You will see the intuition, the step-by-step method, and a clean Python implementation you can use in interviews.

Leetcode

Problem Statement

Table: Purchases +---------------+------+ | Column Name | Type | +---------------+------+ | purchase_id | int | | user_id | int | | purchase_date | date | +---------------+------+ purchase_id contains unique values. This table contains logs of the dates that users purchased from a certain retailer.

Quick Facts

  • Difficulty: Medium
  • Premium: Yes
  • Tags: Database

Intuition

The task is relational in nature, which maps cleanly to DataFrame operations in Python.

By treating tables as DataFrames, joins and group-bys become concise and readable.

Approach

Load the inputs as DataFrames and apply the appropriate merge, filter, or group-by.

Select or rename the columns to match the required output.

Steps:

  • Load inputs as DataFrames.
  • Apply merge/groupby/filter operations.
  • Select the output columns.

Example

+---------------+------+ | Column Name | Type | +---------------+------+ | purchase_id | int | | user_id | int | | purchase_date | date | +---------------+------+ purchase_id contains unique values. This table contains logs of the dates that users purchased from a certain retailer.

Python Solution

import duckdb import pandas as pd def solution(purchases: pd.DataFrame) -> pd.DataFrame: con = duckdb.connect() con.register("Purchases", purchases) return con.execute("""WITH t AS ( SELECT user_id, DATEDIFF( purchase_date, LAG(purchase_date, 1) OVER ( PARTITION BY user_id ORDER BY purchase_date ) ) AS d FROM Purchases ) SELECT DISTINCT user_id FROM t WHERE d <= 7 ORDER BY user_id;""").df()

Complexity

The time complexity is O(n log n) (typical). The space complexity is O(n).

Edge Cases and Pitfalls

Watch for boundary values, empty inputs, and duplicate values where applicable. If the problem involves ordering or constraints, confirm the invariant is preserved at every step.

Summary

This Python solution focuses on the essential structure of the problem and keeps the implementation interview-friendly while meeting the constraints.


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