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https://gitee.com/coder-xiaomo/leetcode-problemset
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101 lines
9.1 KiB
JSON
101 lines
9.1 KiB
JSON
{
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"question": {
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"questionId": "1837",
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"questionFrontendId": "1693",
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"boundTopicId": null,
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"title": "Daily Leads and Partners",
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"titleSlug": "daily-leads-and-partners",
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"content": "<p>Table: <code>DailySales</code></p>\n\n<pre>\n+-------------+---------+\n| Column Name | Type |\n+-------------+---------+\n| date_id | date |\n| make_name | varchar |\n| lead_id | int |\n| partner_id | int |\n+-------------+---------+\nThere is no primary key (column with unique values) for this table. It may contain duplicates.\nThis table contains the date and the name of the product sold and the IDs of the lead and partner it was sold to.\nThe name consists of only lowercase English letters.\n</pre>\n\n<p> </p>\n\n<p>For each <code>date_id</code> and <code>make_name</code>, find the number of <strong>distinct</strong> <code>lead_id</code>'s and <strong>distinct</strong> <code>partner_id</code>'s.</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> \nDailySales table:\n+-----------+-----------+---------+------------+\n| date_id | make_name | lead_id | partner_id |\n+-----------+-----------+---------+------------+\n| 2020-12-8 | toyota | 0 | 1 |\n| 2020-12-8 | toyota | 1 | 0 |\n| 2020-12-8 | toyota | 1 | 2 |\n| 2020-12-7 | toyota | 0 | 2 |\n| 2020-12-7 | toyota | 0 | 1 |\n| 2020-12-8 | honda | 1 | 2 |\n| 2020-12-8 | honda | 2 | 1 |\n| 2020-12-7 | honda | 0 | 1 |\n| 2020-12-7 | honda | 1 | 2 |\n| 2020-12-7 | honda | 2 | 1 |\n+-----------+-----------+---------+------------+\n<strong>Output:</strong> \n+-----------+-----------+--------------+-----------------+\n| date_id | make_name | unique_leads | unique_partners |\n+-----------+-----------+--------------+-----------------+\n| 2020-12-8 | toyota | 2 | 3 |\n| 2020-12-7 | toyota | 1 | 2 |\n| 2020-12-8 | honda | 2 | 2 |\n| 2020-12-7 | honda | 3 | 2 |\n+-----------+-----------+--------------+-----------------+\n<strong>Explanation:</strong> \nFor 2020-12-8, toyota gets leads = [0, 1] and partners = [0, 1, 2] while honda gets leads = [1, 2] and partners = [1, 2].\nFor 2020-12-7, toyota gets leads = [0] and partners = [1, 2] while honda gets leads = [0, 1, 2] and partners = [1, 2].\n</pre>\n",
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"difficulty": "Easy",
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"exampleTestcases": "{\"headers\":{\"DailySales\":[\"date_id\",\"make_name\",\"lead_id\",\"partner_id\"]},\"rows\":{\"DailySales\":[[\"2020-12-8\",\"toyota\",0,1],[\"2020-12-8\",\"toyota\",1,0],[\"2020-12-8\",\"toyota\",1,2],[\"2020-12-7\",\"toyota\",0,2],[\"2020-12-7\",\"toyota\",0,1],[\"2020-12-8\",\"honda\",1,2],[\"2020-12-8\",\"honda\",2,1],[\"2020-12-7\",\"honda\",0,1],[\"2020-12-7\",\"honda\",1,2],[\"2020-12-7\",\"honda\",2,1]]}}",
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{
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"lang": "Pandas",
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"langSlug": "pythondata",
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"code": "import pandas as pd\n\ndef daily_leads_and_partners(daily_sales: pd.DataFrame) -> pd.DataFrame:\n ",
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},
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{
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"lang": "PostgreSQL",
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"langSlug": "postgresql",
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"code": "-- Write your PostgreSQL query statement below\n",
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}
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"sampleTestCase": "{\"headers\":{\"DailySales\":[\"date_id\",\"make_name\",\"lead_id\",\"partner_id\"]},\"rows\":{\"DailySales\":[[\"2020-12-8\",\"toyota\",0,1],[\"2020-12-8\",\"toyota\",1,0],[\"2020-12-8\",\"toyota\",1,2],[\"2020-12-7\",\"toyota\",0,2],[\"2020-12-7\",\"toyota\",0,1],[\"2020-12-8\",\"honda\",1,2],[\"2020-12-8\",\"honda\",2,1],[\"2020-12-7\",\"honda\",0,1],[\"2020-12-7\",\"honda\",1,2],[\"2020-12-7\",\"honda\",2,1]]}}",
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"metaData": "{\"mysql\": [\"Create table If Not Exists DailySales(date_id date, make_name varchar(20), lead_id int, partner_id int)\"], \"mssql\": [\"Create table DailySales(date_id date, make_name varchar(20), lead_id int, partner_id int)\"], \"oraclesql\": [\"Create table DailySales(date_id date, make_name varchar(20), lead_id int, partner_id int)\", \"ALTER SESSION SET nls_date_format='YYYY-MM-DD'\"], \"database\": true, \"name\": \"daily_leads_and_partners\", \"pythondata\": [\"DailySales = pd.DataFrame([], columns=['date_id', 'make_name', 'lead_id', 'partner_id']).astype({'date_id':'datetime64[ns]', 'make_name':'object', 'lead_id':'Int64', 'partner_id':'Int64'})\"], \"manual\": false, \"postgresql\": [\"\\nCreate table If Not Exists DailySales(date_id date, make_name varchar(20), lead_id int, partner_id int)\"], \"database_schema\": {\"DailySales\": {\"date_id\": \"DATE\", \"make_name\": \"VARCHAR(20)\", \"lead_id\": \"INT\", \"partner_id\": \"INT\"}}}",
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"Create table If Not Exists DailySales(date_id date, make_name varchar(20), lead_id int, partner_id int)",
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"Truncate table DailySales",
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"insert into DailySales (date_id, make_name, lead_id, partner_id) values ('2020-12-8', 'toyota', '0', '1')",
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"insert into DailySales (date_id, make_name, lead_id, partner_id) values ('2020-12-8', 'toyota', '1', '0')",
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"insert into DailySales (date_id, make_name, lead_id, partner_id) values ('2020-12-8', 'toyota', '1', '2')",
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"insert into DailySales (date_id, make_name, lead_id, partner_id) values ('2020-12-7', 'toyota', '0', '2')",
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"insert into DailySales (date_id, make_name, lead_id, partner_id) values ('2020-12-7', 'toyota', '0', '1')",
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"insert into DailySales (date_id, make_name, lead_id, partner_id) values ('2020-12-8', 'honda', '1', '2')",
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"insert into DailySales (date_id, make_name, lead_id, partner_id) values ('2020-12-8', 'honda', '2', '1')",
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"insert into DailySales (date_id, make_name, lead_id, partner_id) values ('2020-12-7', 'honda', '0', '1')",
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"insert into DailySales (date_id, make_name, lead_id, partner_id) values ('2020-12-7', 'honda', '1', '2')",
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"insert into DailySales (date_id, make_name, lead_id, partner_id) values ('2020-12-7', 'honda', '2', '1')"
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],
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