Python | Arithmetic operations in excel file using openpyxl Last Updated : 11 Jul, 2025 Comments Improve Suggest changes 3 Likes Like Report Prerequisite: Reading & Writing to excel sheet using openpyxlOpenpyxl is a Python library using which one can perform multiple operations on excel files like reading, writing, arithmetic operations and plotting graphs. Let's see how to perform different arithmetic operations using openpyxl. =SUM(cell1:cell2) : Adds all the numbers in a range of cells. Python3 # import openpyxl module import openpyxl # Call a Workbook() function of openpyxl # to create a new blank Workbook object wb = openpyxl.Workbook() # Get workbook active sheet # from the active attribute. sheet = wb.active # writing to the cell of an excel sheet sheet['A1'] = 200 sheet['A2'] = 300 sheet['A3'] = 400 sheet['A4'] = 500 sheet['A5'] = 600 # The value in cell A7 is set to a formula # that sums the values in A1, A2, A3, A4, A5 . sheet['A7'] = '= SUM(A1:A5)' # save the file wb.save("sum.xlsx") Output: =PRODUCT(cell1:cell2) : Multiplies all the numbers in the range of cells. Python3 import openpyxl wb = openpyxl.Workbook() sheet = wb.active sheet['A1'] = 2 sheet['A2'] = 3 sheet['A3'] = 4 sheet['A4'] = 5 sheet['A5'] = 6 # The value in cell A7 is set to a formula # that multiplies the values in A1, A2, A3, A4, A5 . sheet['A7'] = '= PRODUCT(A1:A5)' wb.save("product.xlsx") Output: =AVERAGE(cell1:cell2) : It gives the average (arithmetical mean) of all the numbers which is present in the given cell range. Python3 import openpyxl wb = openpyxl.Workbook() sheet = wb.active sheet['A1'] = 200 sheet['A2'] = 300 sheet['A3'] = 400 sheet['A4'] = 500 sheet['A5'] = 600 # The value in cell A7 is set to a formula # that return average of the values in A1, A2, A3, A4, A5 . sheet['A7'] = '= AVERAGE(A1:A5)' wb.save("average.xlsx") Output: =QUOTIENT(num1, num2) : It returns the integer portion of a division. Python3 import openpyxl wb = openpyxl.Workbook() sheet = wb.active # The value in cell is set to a formula # that gives quotient value . sheet['A1'] = '= QUOTIENT(64, 8)' sheet['A2'] = '= QUOTIENT(25, 4)' wb.save("quotient.xlsx") Output: =MOD(num1, num2) : Returns the remainder after a number is divided by the divisor. Python3 import openpyxl wb = openpyxl.Workbook() sheet = wb.active # The value in cell is set to a formula # that gives remainder or modulus value. sheet['A1'] = '= MOD(64, 8)' sheet['A2'] = '= MOD(25, 4)' wb.save("modulus.xlsx") Output: =COUNT(cell1:cell2) : It counts the number of cells in a range that contain the number. Python3 import openpyxl wb = openpyxl.Workbook() sheet = wb.active sheet['A1'] = 200 sheet['A2'] = 300 sheet['A3'] = 400 sheet['A4'] = 500 sheet['A5'] = 600 # The value in cell A7 is set to a formula # that gives counting of number present in the cells. sheet['A7'] = '= COUNT(A1:A6)' wb.save("count.xlsx") Output: Create Quiz Comment A ankthon Follow 3 Improve A ankthon Follow 3 Improve Article Tags : Python python-modules Explore Python FundamentalsPython Introduction 2 min read Input and Output in Python 4 min read Python Variables 4 min read Python Operators 4 min read Python Keywords 2 min read Python Data Types 8 min read Conditional Statements in Python 3 min read Loops in Python - For, While and Nested Loops 5 min read Python Functions 5 min read Recursion in Python 4 min read Python Lambda Functions 5 min read Python Data StructuresPython String 5 min read Python Lists 4 min read Python Tuples 4 min read Python Dictionary 3 min read Python Sets 6 min read Python Arrays 7 min read List Comprehension in Python 4 min read Advanced PythonPython OOP Concepts 11 min read Python Exception Handling 5 min read File Handling in Python 4 min read Python Database Tutorial 4 min read Python MongoDB Tutorial 3 min read Python MySQL 9 min read Python Packages 10 min read Python Modules 3 min read Python DSA Libraries 15 min read List of Python GUI Library and Packages 3 min read Data Science with PythonNumPy Tutorial - Python Library 3 min read Pandas Tutorial 4 min read Matplotlib Tutorial 5 min read Python Seaborn Tutorial 3 min read StatsModel Library - Tutorial 3 min read Learning Model Building in Scikit-learn 6 min read TensorFlow Tutorial 2 min read PyTorch Tutorial 6 min read Web Development with PythonFlask Tutorial 8 min read Django Tutorial | Learn Django Framework 7 min read Django ORM - Inserting, Updating & Deleting Data 4 min read Templating With Jinja2 in Flask 6 min read Django Templates 5 min read Build a REST API using Flask - Python 3 min read Building a Simple API with Django REST Framework 3 min read Python PracticePython Quiz 1 min read Python Coding Practice 1 min read Python Interview Questions and Answers 15+ min read Like