DataFrame: employees
+-------------+--------+
| Column Name | Type |
+-------------+--------+
| employee_id | int |
| name | object |
| department | object |
| salary | int |
+-------------+--------+
Write a solution to display the first 3
rows of this DataFrame.
Example 1:
Input: 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 | +-------------+-----------+-----------------------+--------+ Output: +-------------+---------+-------------+--------+ | employee_id | name | department | salary | +-------------+---------+-------------+--------+ | 3 | Bob | Operations | 48675 | | 90 | Alice | Sales | 11096 | | 9 | Tatiana | Engineering | 33805 | +-------------+---------+-------------+--------+ Explanation: Only the first 3 rows are displayed.
{"headers":{"employees":["employee_id","name","department","salary"]},"rows":{"employees":[[3,"Bob","Operations",48675],[90,"Alice","Sales",11096],[9,"Tatiana","Engineering",33805],[60,"Annabelle","InformationTechnology",37678],[49,"Jonathan","HumanResources",23793],[43,"Khaled","Administration",40454]]}}