w3resource

Pandas SQL Query: Select distinct department id from employees file

Pandas HR database Queries: Exercise-4 with Solution

Write a Pandas program to select distinct department id from employees file.

DEPARTMENTS.csv

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("Distinct department_id:")
print(employees.department_id.unique())

Sample Output:

 Distinct department_id:
[ 90.  60. 100.  30.  50.  80.  nan  10.  20.  40.  70. 110.]

Equivalent SQL Syntax:

SELECT DISTINCT department_id FROM EMPLOYEES;

Click to view the table contain:

Employees Table

Departments Table

Countries Table

Job_History Table

Jobs Table

Locations Table

Regions Table

Python Code Editor:

Structure of HR database :

HR database

Have another way to solve this solution? Contribute your code (and comments) through Disqus.

Previous: Write a Pandas program to extract first 7 records from employees file.
Next: Write a Pandas program to display the first and last name, and department number for all employees whose last name is "McEwen".

What is the difficulty level of this exercise?



Become a Patron!

Follow us on Facebook and Twitter for latest update.

It will be nice if you may share this link in any developer community or anywhere else, from where other developers may find this content. Thanks.

https://198.211.115.131/python-exercises/pandas/sql/python-pandas-hr-database-queries-exercise-4.php