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@@ -7,17 +7,17 @@
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"boundTopicId": 33161,
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"title": "Product Price at a Given Date",
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"titleSlug": "product-price-at-a-given-date",
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"content": "<p>Table: <code>Products</code></p>\n\n<pre>\n+---------------+---------+\n| Column Name | Type |\n+---------------+---------+\n| product_id | int |\n| new_price | int |\n| change_date | date |\n+---------------+---------+\n(product_id, change_date) is the primary key (combination of columns with unique values) of this table.\nEach row of this table indicates that the price of some product was changed to a new price at some date.</pre>\n\n<p> </p>\n\n<p>Write a solution to find the prices of all products on <code>2019-08-16</code>. Assume the price of all products before any change is <code>10</code>.</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> \nProducts table:\n+------------+-----------+-------------+\n| product_id | new_price | change_date |\n+------------+-----------+-------------+\n| 1 | 20 | 2019-08-14 |\n| 2 | 50 | 2019-08-14 |\n| 1 | 30 | 2019-08-15 |\n| 1 | 35 | 2019-08-16 |\n| 2 | 65 | 2019-08-17 |\n| 3 | 20 | 2019-08-18 |\n+------------+-----------+-------------+\n<strong>Output:</strong> \n+------------+-------+\n| product_id | price |\n+------------+-------+\n| 2 | 50 |\n| 1 | 35 |\n| 3 | 10 |\n+------------+-------+\n</pre>\n",
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"content": "<p>Table: <code>Products</code></p>\n\n<pre>\n+---------------+---------+\n| Column Name | Type |\n+---------------+---------+\n| product_id | int |\n| new_price | int |\n| change_date | date |\n+---------------+---------+\n(product_id, change_date) is the primary key (combination of columns with unique values) of this table.\nEach row of this table indicates that the price of some product was changed to a new price at some date.</pre>\n\n<p>Initially, all products have price 10.</p>\n\n<p>Write a solution to find the prices of all products on the date <code>2019-08-16</code>.</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> \nProducts table:\n+------------+-----------+-------------+\n| product_id | new_price | change_date |\n+------------+-----------+-------------+\n| 1 | 20 | 2019-08-14 |\n| 2 | 50 | 2019-08-14 |\n| 1 | 30 | 2019-08-15 |\n| 1 | 35 | 2019-08-16 |\n| 2 | 65 | 2019-08-17 |\n| 3 | 20 | 2019-08-18 |\n+------------+-----------+-------------+\n<strong>Output:</strong> \n+------------+-------+\n| product_id | price |\n+------------+-------+\n| 2 | 50 |\n| 1 | 35 |\n| 3 | 10 |\n+------------+-------+\n</pre>\n",
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"translatedTitle": "指定日期的产品价格",
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"translatedContent": "<p>产品数据表: <code>Products</code></p>\n\n<pre>\n+---------------+---------+\n| Column Name | Type |\n+---------------+---------+\n| product_id | int |\n| new_price | int |\n| change_date | date |\n+---------------+---------+\n(product_id, change_date) 是此表的主键（具有唯一值的列组合）。\n这张表的每一行分别记录了 某产品 在某个日期 更改后 的新价格。</pre>\n\n<p> </p>\n\n<p>编写一个解决方案，找出在 <code>2019-08-16</code><strong> </strong>时全部产品的价格，假设所有产品在修改前的价格都是 <code>10</code><strong> 。</strong></p>\n\n<p>以 <strong>任意顺序 </strong>返回结果表。</p>\n\n<p>结果格式如下例所示。</p>\n\n<p> </p>\n\n<p><strong>示例 1:</strong></p>\n\n<pre>\n<strong>输入：</strong>\nProducts 表:\n+------------+-----------+-------------+\n| product_id | new_price | change_date |\n+------------+-----------+-------------+\n| 1 | 20 | 2019-08-14 |\n| 2 | 50 | 2019-08-14 |\n| 1 | 30 | 2019-08-15 |\n| 1 | 35 | 2019-08-16 |\n| 2 | 65 | 2019-08-17 |\n| 3 | 20 | 2019-08-18 |\n+------------+-----------+-------------+\n<strong>输出：</strong>\n+------------+-------+\n| product_id | price |\n+------------+-------+\n| 2 | 50 |\n| 1 | 35 |\n| 3 | 10 |\n+------------+-------+</pre>\n",
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"translatedContent": "<p>产品数据表: <code>Products</code></p>\n\n<pre>\n+---------------+---------+\n| Column Name | Type |\n+---------------+---------+\n| product_id | int |\n| new_price | int |\n| change_date | date |\n+---------------+---------+\n(product_id, change_date) 是此表的主键（具有唯一值的列组合）。\n这张表的每一行分别记录了 某产品 在某个日期 更改后 的新价格。</pre>\n\n<p>一开始，所有产品价格都为 10。</p>\n\n<p>编写一个解决方案，找出在 <code>2019-08-16</code><strong> </strong>所有产品的价格。</p>\n\n<p>以 <strong>任意顺序 </strong>返回结果表。</p>\n\n<p>结果格式如下例所示。</p>\n\n<p> </p>\n\n<p><strong>示例 1:</strong></p>\n\n<pre>\n<strong>输入：</strong>\nProducts 表:\n+------------+-----------+-------------+\n| product_id | new_price | change_date |\n+------------+-----------+-------------+\n| 1 | 20 | 2019-08-14 |\n| 2 | 50 | 2019-08-14 |\n| 1 | 30 | 2019-08-15 |\n| 1 | 35 | 2019-08-16 |\n| 2 | 65 | 2019-08-17 |\n| 3 | 20 | 2019-08-18 |\n+------------+-----------+-------------+\n<strong>输出：</strong>\n+------------+-------+\n| product_id | price |\n+------------+-------+\n| 2 | 50 |\n| 1 | 35 |\n| 3 | 10 |\n+------------+-------+</pre>\n",
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"difficulty": "Medium",
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{
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"name": "Database",
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@@ -40,6 +40,12 @@
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"code": "/* Write your T-SQL query statement below */",
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},
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"lang": "PostgreSQL",
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"__typename": "CodeSnippetNode"
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@@ -51,15 +57,9 @@
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"langSlug": "pythondata",
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"code": "import pandas as pd\n\ndef price_at_given_date(products: pd.DataFrame) -> pd.DataFrame:\n ",
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"__typename": "CodeSnippetNode"
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},
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{
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"lang": "PostgreSQL",
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