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https://gitee.com/coder-xiaomo/leetcode-problemset
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批量更新数据
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@@ -12,12 +12,12 @@
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"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 <code>email</code> 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> </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",
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"Consider using a build-in function in pandas library to remove the duplicate rows based on specified data."
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