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{
"data": {
"question": {
"questionId": "3071",
"questionFrontendId": "100012",
"categoryTitle": "Algorithms",
"boundTopicId": 2467488,
"title": "Drop Duplicate Rows",
"titleSlug": "drop-duplicate-rows",
"content": "<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>There are some duplicate rows in the DataFrame based on the <code>email</code> column.</p>\n\n<p>Write a solution to remove these duplicate rows and keep only the <strong>first</strong> occurrence.</p>\n\n<p>The result format is in the following example.</p>\n\n<p>&nbsp;</p>\n<pre>\n<strong class=\"example\">Example 1:</strong>\n<strong>Input:</strong>\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<strong>Output: </strong> \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<strong>Explanation:</strong>\nAlic (customer_id = 4) and Finn (customer_id = 5) both use john@example.com, so only the first occurrence of this email is retained.\n</pre>\n",
"translatedTitle": null,
"translatedContent": null,
"isPaidOnly": false,
"difficulty": "Easy",
"likes": 0,
"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}",
"topicTags": [],
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"codeSnippets": [
{
"lang": "Pandas",
"langSlug": "pythondata",
"code": "import pandas as pd\n\ndef dropDuplicateEmails(customers: pd.DataFrame) -> pd.DataFrame:\n ",
"__typename": "CodeSnippetNode"
}
],
"stats": "{\"totalAccepted\": \"13\", \"totalSubmission\": \"13\", \"totalAcceptedRaw\": 13, \"totalSubmissionRaw\": 13, \"acRate\": \"100.0%\"}",
"hints": [
"Consider using a build-in function in pandas library to remove the duplicate rows based on specified data."
],
"solution": null,
"status": null,
"sampleTestCase": "{\"headers\":{\"customers\":[\"customer_id\",\"name\",\"email\"]},\"rows\":{\"customers\":[[1,\"Ella\",\"emily@example.com\"],[2,\"David\",\"michael@example.com\"],[3,\"Zachary\",\"sarah@example.com\"],[4,\"Alice\",\"john@example.com\"],[5,\"Finn\",\"john@example.com\"],[6,\"Violet\",\"alice@example.com\"]]}}",
"metaData": "{\n \"pythondata\": [\n \"customers = pd.DataFrame([], columns=['customer_id', 'name', 'email']).astype({'customer_id':'Int64', 'name':'object', 'email':'object'})\"\n ],\n \"database\": true,\n \"name\": \"dropDuplicateEmails\",\n \"languages\": [\n \"pythondata\"\n ]\n}",
"judgerAvailable": true,
"judgeType": "large",
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"envInfo": "{\"pythondata\":[\"Pandas\",\"<p>Python 3.10 with Pandas 2.0.2 and NumPy 1.25.0<\\/p>\"]}",
"book": null,
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"editorType": "CKEDITOR",
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"style": "LEETCODE",
"exampleTestcases": "{\"headers\":{\"customers\":[\"customer_id\",\"name\",\"email\"]},\"rows\":{\"customers\":[[1,\"Ella\",\"emily@example.com\"],[2,\"David\",\"michael@example.com\"],[3,\"Zachary\",\"sarah@example.com\"],[4,\"Alice\",\"john@example.com\"],[5,\"Finn\",\"john@example.com\"],[6,\"Violet\",\"alice@example.com\"]]}}",
"__typename": "QuestionNode"
}
}
}