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Pandas HR database: 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.

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

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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?



Python: Tips of the Day

Checks if the given number falls within the given range.

Example:

def tips_range(n, start, end = 0):
  return start <= n <= end if end >= start else end <= n <= start
print(tips_range(2, 4, 6))
print(tips_range(4, 8))
print(tips_range(1, 3, 5))
print(tips_range(1, 3))

Output:

False
True
False
True