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小墨
2025-09-29 14:43:44 +08:00
parent 2862a227c4
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leetcode-cn/originData/market-analysis-i.json
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@@ -12,12 +12,12 @@
"translatedContent": "<p>表：&nbsp;<code>Users</code></p>\n\n<pre>\n+----------------+---------+\n| Column Name | Type |\n+----------------+---------+\n| user_id | int |\n| join_date | date |\n| favorite_brand | varchar |\n+----------------+---------+\nuser_id 是此表主键（具有唯一值的列）。\n表中描述了购物网站的用户信息，用户可以在此网站上进行商品买卖。\n</pre>\n\n<p>&nbsp;</p>\n\n<p>表：&nbsp;<code>Orders</code></p>\n\n<pre>\n+---------------+---------+\n| Column Name | Type |\n+---------------+---------+\n| order_id | int |\n| order_date | date |\n| item_id | int |\n| buyer_id | int |\n| seller_id | int |\n+---------------+---------+\norder_id 是此表主键（具有唯一值的列）。\nitem_id 是 Items 表的外键（reference 列）。\n（buyer_id，seller_id）是 User 表的外键。\n</pre>\n\n<p>&nbsp;</p>\n\n<p>表：<code>Items</code></p>\n\n<pre>\n+---------------+---------+\n| Column Name | Type |\n+---------------+---------+\n| item_id | int |\n| item_brand | varchar |\n+---------------+---------+\nitem_id 是此表的主键（具有唯一值的列）。\n</pre>\n\n<p>&nbsp;</p>\n\n<p>编写解决方案找出每个用户的注册日期和在 <strong><code>2019</code> </strong>年作为买家的订单总数。</p>\n\n<p>以 <strong>任意顺序</strong> 返回结果表。</p>\n\n<p>查询结果格式如下。</p>\n\n<p>&nbsp;</p>\n\n<p><strong>示例 1:</strong></p>\n\n<pre>\n<strong>输入：</strong>\nUsers 表:\n+---------+------------+----------------+\n| user_id | join_date | favorite_brand |\n+---------+------------+----------------+\n| 1 | 2018-01-01 | Lenovo |\n| 2 | 2018-02-09 | Samsung |\n| 3 | 2018-01-19 | LG |\n| 4 | 2018-05-21 | HP |\n+---------+------------+----------------+\nOrders 表:\n+----------+------------+---------+----------+-----------+\n| order_id | order_date | item_id | buyer_id | seller_id |\n+----------+------------+---------+----------+-----------+\n| 1 | 2019-08-01 | 4 | 1 | 2 |\n| 2 | 2018-08-02 | 2 | 1 | 3 |\n| 3 | 2019-08-03 | 3 | 2 | 3 |\n| 4 | 2018-08-04 | 1 | 4 | 2 |\n| 5 | 2018-08-04 | 1 | 3 | 4 |\n| 6 | 2019-08-05 | 2 | 2 | 4 |\n+----------+------------+---------+----------+-----------+\nItems 表:\n+---------+------------+\n| item_id | item_brand |\n+---------+------------+\n| 1 | Samsung |\n| 2 | Lenovo |\n| 3 | LG |\n| 4 | HP |\n+---------+------------+\n<strong>输出：</strong>\n+-----------+------------+----------------+\n| buyer_id | join_date | orders_in_2019 |\n+-----------+------------+----------------+\n| 1 | 2018-01-01 | 1 |\n| 2 | 2018-02-09 | 2 |\n| 3 | 2018-01-19 | 0 |\n| 4 | 2018-05-21 | 0 |\n+-----------+------------+----------------+</pre>\n",
"isPaidOnly": false,
"difficulty": "Medium",
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"name": "Database",
@@ -40,6 +40,12 @@
"code": "/* Write your T-SQL query statement below */",
"__typename": "CodeSnippetNode"
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"langSlug": "postgresql",
"code": "-- Write your PostgreSQL query statement below",
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"langSlug": "oraclesql",
@@ -51,15 +57,9 @@
"langSlug": "pythondata",
"code": "import pandas as pd\n\ndef market_analysis(users: pd.DataFrame, orders: pd.DataFrame, items: pd.DataFrame) -> pd.DataFrame:\n ",
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