Pandas SQL Query: Calculate minimum, maximum and mean salary from employees file

Pandas HR database Queries: Exercise-22 with Solution

Write a Pandas program to calculate minimum, maximum and mean salary from employees file.

EMPLOYEES.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")
result = job_history.groupby(['employee_id']) 

print(employees.agg({'salary': ['min', 'max', 'mean', 'median']}))

Sample Output:

              salary
min      2100.000000
max     24000.000000
mean     6461.682243
median   6200.000000

Equivalent SQL Syntax:

SELECT * 
	FROM jobs 
		ORDER BY job_title;

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 :

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