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leetcode-cn/problem (Chinese)/删去重复的行 [drop-duplicate-rows].html Normal file
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<pre>
DataFrame customers
+-------------+--------+
| Column Name | Type |
+-------------+--------+
| customer_id | int |
| name | object |
| email | object |
+-------------+--------+
</pre>
<p>在 DataFrame 中基于&nbsp;<code>email</code>&nbsp;列存在一些重复行。</p>
<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>
<p>返回结果格式如下例所示。</p>
<p>&nbsp;</p>
<p><strong>示例 1:</strong></p>
<pre>
<b>输入：</b>
+-------------+---------+---------------------+
| customer_id | name | email |
+-------------+---------+---------------------+
| 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 |
+-------------+---------+---------------------+
<b>输出：</b>
+-------------+---------+---------------------+
| customer_id | name | email |
+-------------+---------+---------------------+
| 1 | Ella | emily@example.com |
| 2 | David | michael@example.com |
| 3 | Zachary | sarah@example.com |
| 4 | Alice | john@example.com |
| 6 | Violet | alice@example.com |
+-------------+---------+---------------------+
<b>解释：</b>
Alice (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。
</pre>