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https://gitee.com/coder-xiaomo/leetcode-problemset
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99 lines
8.9 KiB
JSON
99 lines
8.9 KiB
JSON
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"questionId": "183",
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"questionFrontendId": "183",
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"categoryTitle": "Database",
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"boundTopicId": 1073,
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"title": "Customers Who Never Order",
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"titleSlug": "customers-who-never-order",
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"content": "<p>Table: <code>Customers</code></p>\n\n<pre>\n+-------------+---------+\n| Column Name | Type |\n+-------------+---------+\n| id | int |\n| name | varchar |\n+-------------+---------+\nid is the primary key (column with unique values) for this table.\nEach row of this table indicates the ID and name of a customer.\n</pre>\n\n<p> </p>\n\n<p>Table: <code>Orders</code></p>\n\n<pre>\n+-------------+------+\n| Column Name | Type |\n+-------------+------+\n| id | int |\n| customerId | int |\n+-------------+------+\nid is the primary key (column with unique values) for this table.\ncustomerId is a foreign key (reference columns) of the ID from the Customers table.\nEach row of this table indicates the ID of an order and the ID of the customer who ordered it.\n</pre>\n\n<p> </p>\n\n<p>Write a solution to find all customers who never order anything.</p>\n\n<p>Return the result table in <strong>any order</strong>.</p>\n\n<p>The result format is in the following example.</p>\n\n<p> </p>\n<p><strong class=\"example\">Example 1:</strong></p>\n\n<pre>\n<strong>Input:</strong> \nCustomers table:\n+----+-------+\n| id | name |\n+----+-------+\n| 1 | Joe |\n| 2 | Henry |\n| 3 | Sam |\n| 4 | Max |\n+----+-------+\nOrders table:\n+----+------------+\n| id | customerId |\n+----+------------+\n| 1 | 3 |\n| 2 | 1 |\n+----+------------+\n<strong>Output:</strong> \n+-----------+\n| Customers |\n+-----------+\n| Henry |\n| Max |\n+-----------+\n</pre>\n",
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"translatedTitle": "从不订购的客户",
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"translatedContent": "<p><code>Customers</code> 表:</p>\n\n<pre>\n+-------------+---------+\n| Column Name | Type |\n+-------------+---------+\n| id | int |\n| name | varchar |\n+-------------+---------+\n在 SQL 中,id 是该表的主键。\n该表的每一行都表示客户的 ID 和名称。</pre>\n\n<p><code>Orders</code> 表:</p>\n\n<pre>\n+-------------+------+\n| Column Name | Type |\n+-------------+------+\n| id | int |\n| customerId | int |\n+-------------+------+\n在 SQL 中,id 是该表的主键。\ncustomerId 是 Customers 表中 ID 的外键( Pandas 中的连接键)。\n该表的每一行都表示订单的 ID 和订购该订单的客户的 ID。</pre>\n\n<p> </p>\n\n<p>找出所有从不点任何东西的顾客。</p>\n\n<p>以 <strong>任意顺序</strong> 返回结果表。</p>\n\n<p>结果格式如下所示。</p>\n\n<p> </p>\n\n<p><strong>示例 1:</strong></p>\n\n<pre>\n<b>输入:</b>\nCustomers table:\n+----+-------+\n| id | name |\n+----+-------+\n| 1 | Joe |\n| 2 | Henry |\n| 3 | Sam |\n| 4 | Max |\n+----+-------+\nOrders table:\n+----+------------+\n| id | customerId |\n+----+------------+\n| 1 | 3 |\n| 2 | 1 |\n+----+------------+\n<b>输出:</b>\n+-----------+\n| Customers |\n+-----------+\n| Henry |\n| Max |\n+-----------+</pre>\n",
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"code": "import pandas as pd\n\ndef find_customers(customers: pd.DataFrame, orders: pd.DataFrame) -> pd.DataFrame:\n ",
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"sampleTestCase": "{\"headers\": {\"Customers\": [\"id\", \"name\"], \"Orders\": [\"id\", \"customerId\"]}, \"rows\": {\"Customers\": [[1, \"Joe\"], [2, \"Henry\"], [3, \"Sam\"], [4, \"Max\"]], \"Orders\": [[1, 3], [2, 1]]}}",
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"Create table If Not Exists Customers (id int, name varchar(255))",
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"Create table If Not Exists Orders (id int, customerId int)",
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"Truncate table Customers",
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"insert into Customers (id, name) values ('1', 'Joe')",
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"insert into Customers (id, name) values ('2', 'Henry')",
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"insert into Customers (id, name) values ('3', 'Sam')",
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"insert into Customers (id, name) values ('4', 'Max')",
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"Truncate table Orders",
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"insert into Orders (id, customerId) values ('1', '3')",
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"insert into Orders (id, customerId) values ('2', '1')"
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"exampleTestcases": "{\"headers\": {\"Customers\": [\"id\", \"name\"], \"Orders\": [\"id\", \"customerId\"]}, \"rows\": {\"Customers\": [[1, \"Joe\"], [2, \"Henry\"], [3, \"Sam\"], [4, \"Max\"]], \"Orders\": [[1, 3], [2, 1]]}}",
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