How to Automate an Excel Sheet in Python: All You Need to Know

We all know that Python is dominant everywhere, and we also know that, compared to other languages, Python is beginner-friendly and simple to learn. Automation is one of the craziest things you can do with Python. Testing is made significantly easier by Python's variety of robust libraries, usable packages, and ready-to-use methods for automation. Python allows you to automate an excel sheet and is the best option for your project.

This article uses excel data and Python libraries to automate an excel sheet in python. 

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The automation process will go more smoothly when we are familiar with Python and Microsoft excel. In this article, let’s talk about python and excel, where they came from, how they started, and why you should choose to use them for this project.

Python Overview

Python is a sophisticated, object-oriented programming language with several features that use a mediator to manage code fragments. It very well may be used to carry out a framework method essentially to all operating frameworks because it operates at the order shortly.

By clicking on this link, Python installation is a guide on installing Python and testing it on your operating system, in case you haven't already.

Why is Python preferred over alternative programming languages?

You can download and use it for free from their website because it is an open-source, free programming language.

Python is an easy language to learn and understand; newcomers with minimal programming experience can do so easily.

It also supports object-oriented programming, enabling users to create understandable and reusable codes.

MS Excel Overview

MS Excel is a bookkeeping spreadsheet program for Windows, macOS, Android, and iOS that was developed by Microsoft in 1987. Due to its simplicity in guiding 'CRUD' actions at the outset of information has filled in popularity over the years.

Additionally, it supports a wide range of formulas for obtaining data from MS Excel files.

How to Automate an Excel Sheet in Python

Consider being required to create accounts on a website for 10,000 employees. What do you think? Performing this operation manually and frequently will eventually drive you crazy. It will also take too long, which is not a good idea.

Try to consider what it's like for data entry workers. They take the data from tables (like those in Excel or Google Sheets) and insert it elsewhere.

They read various magazines and websites, get the data there, and then enter it into the database. Additionally, they must perform the calculations for the entries.

In general, this job's performance determines how much money is made. Greater entry volume, more pay (of course, everyone wants a higher salary in their job).

However, don't you find doing the same thing over and over boring?

The question is now, "How can I accomplish it quickly?"

How to automate my work?

Spend an hour coding and automating these kinds of chores to make your life simpler rather than performing these kinds of things by hand. By just writing fewer lines of Python code, you can automate your strenuous activity.


A Python module called Openpyxl is used to read from or write to Excel files. For data analysis, data copying, data mining, creating charts, styling sheets, adding formulas, and other tasks, data scientists utilize Openpyxl.

Workbook: In Openpyxl, a spreadsheet is referred to as a workbook. There may be one or many sheets in a workbook.

Sheet: A sheet is a single page made up of cells used to arrange data.

Cell: A cell is a point where a row and a column converge. The usual representations are A1, A3, B8, etc.

Row: A row is a horizontal line that is represented by a number (1,2, etc.).

Column: A capital letter indicates a vertical line as a column (A, B, etc.).

The Preferred Installer Program (PIP) command can be used to install Openpyxl, and installing it in a virtual environment is advised.


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How to Create New Workbook

In Openpyxl, a new spreadsheet - referred to as a workbook - is created first. We use the Workbook() function to create a new workbook after importing the Openpyxl workbook module.


How to Import a Workbook

We load the file using the function load_Workbook(), which accepts the filename as an input. It is necessary to store the file in the same working directory.



Changing Sheet Name

After loading the workbook, select the current sheet and by using sheet.title, you can change the sheet name of your workbook


How to Change the Color of Sheet Name Tab

Using sheet._properties.tabColor, you can change the tab color.


How to Read Cell Value from Workbook

By using .value, you can read cell value.



How to Change Cell Value 


How to Merge Cells 

By using merge_cells, we can merge two cells.


How to Write in the Cells by Giving Alignments

By using the alignment function, you can give alignments accordingly. 


How to Set Dimensions of Cell

Using row_dimensions and column_dimension, we can set the height and width of the cell accordingly.


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How to Add Row and Column

Using insert_rows, insert_column, and by giving a specific position, you can add rows and columns. 


How to Delete Row and Column

You can add rows and columns using delete_rows, delete_column, and by giving a specific position. 


How to Set Font Style



How to Color Cell

Using PatternFill, we can fill the color on cells.


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How to Import Date and Time

Using ‘time,’ you can import the current time to excel and use time.sleep, you can set seconds after you want to print next time. 


How You Can Insert Arrays Value 

Using for loop for reading and Write for writing data, you can insert arrays values in your workbook.


How to Read a Particular Column


How to Import Image in Workbook



How to Perform Addition, Average, Product and Count in Excel Using Python

By using '=SUM(B1:B9)' '=AVERAGE(B1:B9)' '=PRODUCT(B1:B9)'  '=COUNT(B1:B9)' we can perform operations.


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How to Make Charts in Workbook Using Python




Overall, this article explains how to automate excel files in Python in a straightforward and easy-to-follow manner. Python Excel automation is a unique technique that enables you to easily create visual reports on Python, just like you would on excel. Python Excel automation can be used by businesses to streamline operations to their needs.

If you want to further enhance your skills, you can check Simplilearn’s Python development training course. This course will help you hone the essential skills and make you job-ready.

If you are looking to enhance your software development skills further, we recommend you check Simplilearn's Post Graduate Program in Full Stack Web Development. This course can help you hone the right skills and make you job-ready.

Do you have any questions for us? Please mention it in the comment section of the "How to Automate an Excel Sheet in Python - All You Need to Know" article, and we'll have our experts answer it for you.

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