coder-xiaomo/leetcode-problemset
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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-missing-data.json
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@@ -12,12 +12,12 @@
"translatedContent": "<pre>\nDataFrame students\n+-------------+--------+\n| Column Name | Type |\n+-------------+--------+\n| student_id | int |\n| name | object |\n| age | int |\n+-------------+--------+\n</pre>\n\n<p>在 <code>name</code> 列里有一些具有缺失值的行。</p>\n\n<p>编写一个解决方案，删除具有缺失值的行。</p>\n\n<p>返回结果格式如下示例所示。</p>\n\n<p>&nbsp;</p>\n\n<p><b>示例 1:</b></p>\n\n<pre>\n<strong>输入：\n</strong>+------------+---------+-----+\n| student_id | name | age |\n+------------+---------+-----+\n| 32 | Piper | 5 |\n| 217 | None | 19 |\n| 779 | Georgia | 20 |\n| 849 | Willow | 14 |\n+------------+---------+-----+\n<strong>输出：\n</strong>+------------+---------+-----+\n| student_id | name | age |\n+------------+---------+-----+\n| 32 | Piper | 5 |\n| 779 | Georgia | 20 | \n| 849 | Willow | 14 | \n+------------+---------+-----+\n<b>解释：\n</b>学号为 217 的学生所在行在 name 列中有空值，因此这一行将被删除。</pre>\n",
"isPaidOnly": false,
"difficulty": "Easy",
"likes": 1,
"likes": 2,
"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}",
"langToValidPlayground": "{\"cpp\": false, \"java\": false, \"python3\": false, \"python\": false, \"javascript\": false, \"typescript\": false, \"csharp\": false, \"c\": false, \"golang\": false, \"kotlin\": false, \"swift\": false, \"rust\": false, \"ruby\": false, \"php\": false, \"dart\": false, \"scala\": false, \"elixir\": false, \"erlang\": false, \"racket\": false, \"cangjie\": false, \"bash\": false, \"html\": false, \"pythonml\": false, \"react\": false, \"vanillajs\": false, \"mysql\": false, \"mssql\": false, \"postgresql\": false, \"oraclesql\": false, \"pythondata\": false}",
"topicTags": [],
"companyTagStats": null,
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@@ -28,7 +28,7 @@
"__typename": "CodeSnippetNode"
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],
"stats": "{\"totalAccepted\": \"4.5K\", \"totalSubmission\": \"7K\", \"totalAcceptedRaw\": 4527, \"totalSubmissionRaw\": 6998, \"acRate\": \"64.7%\"}",
"stats": "{\"totalAccepted\": \"6.8K\", \"totalSubmission\": \"10.5K\", \"totalAcceptedRaw\": 6773, \"totalSubmissionRaw\": 10469, \"acRate\": \"64.7%\"}",
"hints": [
"Consider using a build-in function in pandas library to remove the rows with missing values based on specified data."
],