LeetCode-in-Java
2882. Drop Duplicate Rows
Easy
DataFrame customers
+-------------+--------+
| Column Name | Type |
+-------------+--------+
| customer_id | int |
| name | object |
| email | object |
+-------------+--------+
There are some duplicate rows in the DataFrame based on the email column.
Write a solution to remove these duplicate rows and keep only the first occurrence.
The result format is in the following example.
Example 1:
Input:
+-------------+---------+---------------------+
| 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 |
+-------------+---------+---------------------+
Output:
+-------------+---------+---------------------+
| 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 |
+-------------+---------+---------------------+
Explanation: Alic (customer_id = 4) and Finn (customer_id = 5) both use john@example.com, so only the first occurrence of this email is retained.
Solution
import pandas as pd
def dropDuplicateEmails(customers: pd.DataFrame) -> pd.DataFrame:
customers.drop_duplicates(subset='email', keep='first', inplace=True)
return customers