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小墨
2025-09-29 14:43:44 +08:00
parent 2862a227c4
commit 13f2098086
4409 changed files with 168933 additions and 166256 deletions
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leetcode-cn/originData/drop-duplicate-rows.json
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@@ -12,12 +12,12 @@
"translatedContent": "<pre>\nDataFrame customers\n+-------------+--------+\n| Column Name | Type |\n+-------------+--------+\n| customer_id | int |\n| name | object |\n| email | object |\n+-------------+--------+\n</pre>\n\n<p>在 DataFrame 中基于&nbsp;<code>email</code>&nbsp;列存在一些重复行。</p>\n\n<p>编写一个解决方案，删除这些重复行，仅保留第一次出现的行。</p>\n\n<p>返回结果格式如下例所示。</p>\n\n<p>&nbsp;</p>\n\n<p><strong>示例 1:</strong></p>\n\n<pre>\n<b>输入：</b>\n+-------------+---------+---------------------+\n| customer_id | name | email |\n+-------------+---------+---------------------+\n| 1 | Ella | emily@example.com |\n| 2 | David | michael@example.com |\n| 3 | Zachary | sarah@example.com |\n| 4 | Alice | john@example.com |\n| 5 | Finn | john@example.com |\n| 6 | Violet | alice@example.com |\n+-------------+---------+---------------------+\n<b>输出：</b>\n+-------------+---------+---------------------+\n| customer_id | name | email |\n+-------------+---------+---------------------+\n| 1 | Ella | emily@example.com |\n| 2 | David | michael@example.com |\n| 3 | Zachary | sarah@example.com |\n| 4 | Alice | john@example.com |\n| 6 | Violet | alice@example.com |\n+-------------+---------+---------------------+\n<b>解释：</b>\nAlice (customer_id = 4) 和 Finn (customer_id = 5) 都使用 john@example.com，因此只保留该邮箱地址的第一次出现。\n</pre>\n",
"isPaidOnly": false,
"difficulty": "Easy",
"likes": 3,
"likes": 4,
"dislikes": 0,
"isLiked": null,
"similarQuestions": "[]",
"contributors": [],
"langToValidPlayground": "{\"cpp\": false, \"java\": false, \"python\": false, \"python3\": false, \"mysql\": false, \"mssql\": false, \"oraclesql\": false, \"c\": false, \"csharp\": false, \"javascript\": false, \"typescript\": false, \"bash\": false, \"php\": false, \"swift\": false, \"kotlin\": false, \"dart\": false, \"golang\": false, \"ruby\": false, \"scala\": false, \"html\": false, \"pythonml\": false, \"rust\": false, \"racket\": false, \"erlang\": false, \"elixir\": false, \"pythondata\": false, \"react\": false, \"vanillajs\": false, \"postgresql\": false, \"cangjie\": false}",
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@@ -28,7 +28,7 @@
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"stats": "{\"totalAccepted\": \"7.2K\", \"totalSubmission\": \"8.9K\", \"totalAcceptedRaw\": 7230, \"totalSubmissionRaw\": 8904, \"acRate\": \"81.2%\"}",
"hints": [
"Consider using a build-in function in pandas library to remove the duplicate rows based on specified data."
],