LeetCode 题解工作台
显示前三行
DataFrame: employees +-------------+--------+ | Column Name | Type | +-------------+--------+ | employee_id | int | | name | object | | department | o…
0
题型
1
代码语言
0
相关题
当前训练重点
简单 · Display the First Three Rows core interview pattern
答案摘要
import pandas as pd def selectFirstRows(employees: pd.DataFrame) -> pd.DataFrame:
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题目描述
DataFrame: employees
+-------------+--------+
| Column Name | Type |
+-------------+--------+
| employee_id | int |
| name | object |
| department | object |
| salary | int |
+-------------+--------+
编写一个解决方案，显示这个 DataFrame 的 前 3 行。
示例 1:
输入： DataFrame employees +-------------+-----------+-----------------------+--------+ | employee_id | name | department | salary | +-------------+-----------+-----------------------+--------+ | 3 | Bob | Operations | 48675 | | 90 | Alice | Sales | 11096 | | 9 | Tatiana | Engineering | 33805 | | 60 | Annabelle | InformationTechnology | 37678 | | 49 | Jonathan | HumanResources | 23793 | | 43 | Khaled | Administration | 40454 | +-------------+-----------+-----------------------+--------+ 输出： +-------------+---------+-------------+--------+ | employee_id | name | department | salary | +-------------+---------+-------------+--------+ | 3 | Bob | Operations | 48675 | | 90 | Alice | Sales | 11096 | | 9 | Tatiana | Engineering | 33805 | +-------------+---------+-------------+--------+ 解释： 只有前 3 行被显示。
解题思路
方法一
import pandas as pd
def selectFirstRows(employees: pd.DataFrame) -> pd.DataFrame:
return employees.head(3)
复杂度分析
| 指标 | 值 |
|---|---|
| 时间 | Depends on the final approach |
| 空间 | Depends on the final approach |
面试官常问的追问
外企场景- question_mark
Check if the candidate is familiar with pandas functions like head().
- question_mark
Observe if the candidate optimizes for readability and performance when handling DataFrames.
- question_mark
See if the candidate mentions the importance of efficient handling for large datasets.
常见陷阱
外企场景- error
Not using the head() function or slicing, leading to unnecessary iterations over the entire DataFrame.
- error
Misunderstanding the DataFrame structure, possibly trying to return the wrong columns or rows.
- error
Forgetting to check the format of the output to ensure it aligns with the expected result.
进阶变体
外企场景- arrow_right_alt
Modify the task to display the first n rows instead of just the first 3.
- arrow_right_alt
Return the first few rows while also showing the column headers in a different format.
- arrow_right_alt
Extend the problem to handle missing or malformed data in the DataFrame.