Creating Excel Reports with Python's Openpyxl and XlsxWriter

Table of Contents

  1. Introduction
  2. Prerequisites
  3. Installation
  4. Creating Excel Reports with Openpyxl
  5. Creating Excel Reports with XlsxWriter
  6. Conclusion

Introduction

In this tutorial, we will explore two powerful libraries in Python for creating Excel reports: Openpyxl and XlsxWriter. Excel reports are commonly used in businesses to summarize and analyze data. By the end of this tutorial, you will learn how to use these libraries to generate professional and dynamic Excel reports.

Prerequisites

To follow this tutorial, you should have a basic understanding of Python programming language and familiarity with working in a command-line interface. Additionally, make sure you have Python installed on your system.

Installation

Before we get started, let’s install the required libraries. Open your command prompt or terminal and execute the following commands: python pip install openpyxl pip install XlsxWriter With both libraries installed, we are ready to dive into creating Excel reports.

Creating Excel Reports with Openpyxl

  1. Import the required libraries: 
     import openpyxl
 from openpyxl.utils import get_column_letter
 from openpyxl.styles import Font
  2. Create a new workbook and select the active sheet: 
     workbook = openpyxl.Workbook()
 sheet = workbook.active
  3. Populate the sheet with data. Let’s say we have a list of employees’ names and salaries: 
     data = [
     ('John Doe', 5000),
     ('Jane Smith', 6000),
     ('Bob Johnson', 5500),
     ('Alice Thompson', 7000)
 ]
	
 for row in data:
     sheet.append(row)
  4. Apply formatting to the sheet. For example, we can bold the headers: 
     header_font = Font(bold=True)
 for cell in sheet[1]:
     cell.font = header_font
  5. Save the workbook: 
     workbook.save('employees.xlsx')

    Congratulations! You have successfully created an Excel report using Openpyxl.

Creating Excel Reports with XlsxWriter

  1. Import the required libraries: 
     import xlsxwriter
  2. Create a new workbook: 
     workbook = xlsxwriter.Workbook('expenses.xlsx')
  3. Add a worksheet to the workbook: 
     worksheet = workbook.add_worksheet()
  4. Populate the worksheet with data. Let’s say we have a list of expenses: 
     expenses = [
     ['Rent', 1000],
     ['Utilities', 200],
     ['Groceries', 300],
     ['Transportation', 150]
 ]
	
 for row, expense in enumerate(expenses):
     worksheet.write_row(row, 0, expense)
  5. Apply formatting to the worksheet. For example, let’s highlight the highest expense: 
     max_expense = max(expenses, key=lambda x: x[1])
 max_row = expenses.index(max_expense)
	
 format_highlight = workbook.add_format({'bg_color': 'yellow'})
 worksheet.set_row(max_row, None, format_highlight)
  6. Save the workbook: 
     workbook.close()

    Well done! You have now created an Excel report using XlsxWriter.

Conclusion

In this tutorial, we have learned how to create Excel reports using two popular Python libraries: Openpyxl and XlsxWriter. We explored the basic steps involved in creating a report, such as creating a workbook, populating it with data, and applying formatting. With these libraries, you can generate dynamic and professional reports tailored to your specific needs. Experiment with different features and explore the documentation to further enhance your Excel reports.

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