Pandas HR database: Display the name, salary and department number for those employees who holds a letter n as a 3rd character in their first name
Pandas HR database Queries: Exercise-19 with Solution
Write a Pandas program to display the first, last name, salary and department number for those employees who holds a letter n as a 3rd character in their first name.
Sample Solution :
Python Code :
import pandas as pd employees = pd.read_csv(r"EMPLOYEES.csv") departments = pd.read_csv(r"DEPARTMENTS.csv") job_history = pd.read_csv(r"JOB_HISTORY.csv") jobs = pd.read_csv(r"JOBS.csv") countries = pd.read_csv(r"COUNTRIES.csv") regions = pd.read_csv(r"REGIONS.csv") locations = pd.read_csv(r"LOCATIONS.csv") print("First name Last name Salary Department ID") result = employees[employees['first_name'].str[2:3]=='n'] for index, row in result.iterrows(): print(row['first_name'].ljust(15),row['last_name'].ljust(15),str(row['salary']).ljust(9),row['department_id'])
First name Last name Salary Department ID Nancy Greenberg 12000 100.0 Daniel Faviet 9000 100.0 Den Raphaely 11000 30.0 Renske Ladwig 3600 50.0 Randall Matos 2600 50.0 Nanette Cambrault 7500 80.0 Janette King 10000 80.0 Lindsey Smith 8000 80.0 Danielle Greene 9500 80.0 Sundar Ande 6400 80.0 Sundita Kumar 6100 80.0 Jonathon Taylor 8600 80.0 Winston Taylor 3200 50.0 Nandita Sarchand 4200 50.0 Jennifer Dilly 3600 50.0 Randall Perkins 2500 50.0 Vance Jones 2800 50.0 Donald OConnell 2600 50.0 Jennifer Whalen 4400 10.0
Equivalent SQL Syntax:
SELECT first_name,last_name, department_id FROM employees WHERE first_name LIKE '__n%';
Click to view the table contain:
Python Code Editor:
Structure of HR database :
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Previous: Write a Pandas program to display the first name, last name, salary and department number for those employees whose managers are hold the ID 120, 103 or 145.
Next: Write a Pandas program to display the first name, job id, salary and department for those employees not working in the departments 50,30 and 80.
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