Pandas HR database: Display the name, salary and department number for those employees whose managers are hold the ID 120, 103 or 145
Pandas HR database Queries: Exercise-18 with Solution
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.
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 Manager ID") result = employees[employees['manager_id'].isin([120, 103, 145])] for index, row in result.iterrows(): print(row['first_name'].ljust(15),row['last_name'].ljust(15),str(row['salary']).ljust(9),row['manager_id'])
First name Last name Salary Manager ID Bruce Ernst 6000 103.0 David Austin 4800 103.0 Valli Pataballa 4800 103.0 Diana Lorentz 4200 103.0 Julia Nayer 3200 120.0 Irene Mikkilineni 2700 120.0 James Landry 2400 120.0 Steven Markle 2200 120.0 Peter Tucker 10000 145.0 David Bernstein 9500 145.0 Peter Hall 9000 145.0 Christopher Olsen 8000 145.0 Nanette Cambrault 7500 145.0 Oliver Tuvault 7000 145.0 Winston Taylor 3200 120.0 Jean Fleaur 3100 120.0 Martha Sullivan 2500 120.0 Girard Geoni 2800 120.0
Equivalent SQL Syntax:
SELECT first_name, last_name, email, salary, manager_id FROM employees WHERE manager_id IN (120 , 103 , 145);
Click to view the table contain:
Python Code Editor:
Structure of HR database :
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