Learn how to perform simple data automation operations, such as Accessing Cell Values, Conditional Formatting, and working with Formula and Calculations.
Spreadsheets have been a critical tool for managing information for individuals and organizations. However, manual spreadsheet tasks can be time-consuming and error-prone. This guide will show you how Python and Openpyxl, a powerful Python library for working with Excel files, can revolutionize how you manage your spreadsheets. We'll also explore the benefits of using for spreadsheet tasks and how Openpyxl can help you automate many tedious and error-prone spreadsheet tasks.
load_workbook sheet=wb # Define the green fill style green_fill=PatternFill # Iterate through rows starting from the second row for row_number, row in enumerate, start=2): annual_salary=row # Check if the Annual Salary is greater than $50,000 if annual_salary > 50000: # If the condition is met, apply a green fill to the Annual Salary cell cell=sheet.cell cell.fill=green_fill wb.save You can easily understand the code by reading the comments.
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