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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 | [email protected] | | 2 | David | [email protected] | | 3 | Zachary | [email protected] | | 4 | Alice | [email protected] | | 5 | Finn | [email protected] | | 6 | Violet | [email protected] | +-------------+---------+---------------------+ Output: +-------------+---------+---------------------+ | customer_id | name | email | +-------------+---------+---------------------+ | 1 | Ella | [email protected] | | 2 | David | [email protected] | | 3 | Zachary | [email protected] | | 4 | Alice | [email protected] | | 6 | Violet | [email protected] | +-------------+---------+---------------------+ Explanation: Alic (customer_id = 4) and Finn (customer_id = 5) both use [email protected], so only the first occurrence of this email is retained.
import pandas as pd
def dropDuplicateEmails(customers: pd.DataFrame) -> pd.DataFrame:
return customers.drop_duplicates(subset=['email'])