使用 IRONXL FOR PYTHON Python 修改 Excel 文件(开发者教程) Curtis Chau 已更新:六月 22, 2025 Download IronXL pip 下载 Start Free Trial Copy for LLMs Copy for LLMs Copy page as Markdown for LLMs Open in ChatGPT Ask ChatGPT about this page Open in Gemini Ask Gemini about this page Open in Grok Ask Grok about this page Open in Perplexity Ask Perplexity about this page Share Share on Facebook Share on X (Twitter) Share on LinkedIn Copy URL Email article The ability to programmatically edit Excel files is a vital necessity for a variety of businesses and applications in today's data-driven world. Effective data management and analysis require the capacity to dynamically alter Excel files, whether it is for new content addition, data update, or cell formatting. Python offers developers strong capabilities for working with Excel files because of its extensive library environment. IronXL for Python is a powerful tool that can be used to easily change Excel files, among other tools. This in-depth tutorial will cover IronXL for Python's features, functionalities, and best practices for programmatically using Python to modify Excel files, enabling developers to work with Excel files efficiently. How to use Python to modify an Excel file Open Visual Studio Code and create a Python file. Install IronXL using the pip package manager. After that, set up the Excel file that needs to be modified. Select the working spreadsheet and update the value by row and column index. Save the modified data into a new Excel file. IronXL Developers may read, manipulate, and write Excel files directly from Python code with the help of IronXL for Python, a feature-rich library made specifically for working with Excel files. IronXL is a robust solution for easily altering Excel files for developers. It is built on top of the .NET framework and connects with Python effortlessly. IronXL for Python library provides an adaptable toolset to handle various Excel file manipulation tasks, such as adding formulas, formatting cells, and updating data. Features of IronXL With IronXL, data can be quickly read from existing Excel files and written to newly created or pre-existing spreadsheets, including tasks like formatting, applying formulas, accessing cell values, and condensing data to create charts. Cross-Platform Compatibility: IronXL is a flexible option for Python developers regardless of their operating system of choice because it is made to function flawlessly on a variety of platforms, including Windows, Linux, and macOS. High efficiency: Even when working with huge datasets, IronXL, which is built on the .NET framework, processes and efficiently manipulates Excel files. It accomplishes this by fusing Dot NET's efficiency with Python's adaptability. Support for Excel Formats: IronXL supports the following Excel file formats, which it can open and use. Excel format like CSV file, xls (Excel 97–2003), xlsx file (Excel 2007 and beyond), and xlsm file (Excel with macros enabled). Advanced-Data Manipulation: With IronXL, we can manipulate Excel spreadsheets, including aggregating, filtering, and sorting, from which they can derive insightful conclusions. Cell formatting: Excel spreadsheets can be made more aesthetically pleasing and readable by using IronXL's cell formatting options, which include font styles, colors, borders, and alignment. Essentially, IronXL provides a trustworthy and user-friendly way to incorporate Excel functionality into Python programs, assisting Python developers in overcoming the difficulties that come with managing Excel files. Whether you're building data analysis tools that need to read Excel files, automating reporting chores that involve reading Excel files, or developing interactive dashboards, IronXL gives you the flexibility and resources you need to succeed in handling Excel files within the Python ecosystem. To find out more about IronXL, click here. Setup Environment Prerequisites Make sure the following are installed on your computer before beginning the guide: Because IronXL was developed with the .NET 6.0 SDK, it needs to be installed on your computer. Python 3.0+: To follow this tutorial, you must have Python 3.0 or a later version installed. pip: Install the Python package installer pip first, as IronXL will require it. Create a New file and Install IronXL Open this file in Visual Studio Code, then create a ModifyExcelFile.py Python file. This file contains our script for using IronXL to edit pre-existing Excel files. To access the command line in Visual Studio Code, choose Terminal > New Terminal from the menu. The first step before using IronXL is to install the library. Using Python's package manager pip, quickly install IronXL by executing the following command: pip install ironxl pip install ironxl SHELL You can now use IronXL to read and modify installed Excel spreadsheet files. Excel File Modification Using IronXL for Python You can perform various modifications to an Excel file using IronXL for Python, with operations such as data updates, content additions, cell formatting, and more. Let's look at a few typical situations and how IronXL for Python can be used to resolve them. By the sample data that are going to be processed. Updating Existing Data Updating current data is one of the most frequent activities involved in modifying Excel files using the below code. With IronXL for Python, you can easily write data in Excel xlsx files by adding new data, fixing errors, and updating out-of-date information. from ironxl import * # Load an existing Excel file workbook = WorkBook.Load("output.xlsx") # Access a specific worksheet worksheet = workbook.WorkSheets[0] # Update data in a specific cell worksheet["B2"].Value = "29" # Save the modified workbook workbook.SaveAs("modified_data.xlsx") from ironxl import * # Load an existing Excel file workbook = WorkBook.Load("output.xlsx") # Access a specific worksheet worksheet = workbook.WorkSheets[0] # Update data in a specific cell worksheet["B2"].Value = "29" # Save the modified workbook workbook.SaveAs("modified_data.xlsx") PYTHON In the above code, we load an existing Excel file, then open a particular worksheet, and change the value of the cell ("B2"). The updated workbook is then saved as a new file. Adding New Content Adding new rows, columns, or worksheets to Excel files is another feature that IronXL for Python offers. The following code shows adding a sample dataset to the existing file. from ironxl import * # Load an existing Excel file workbook = WorkBook.Load("output.xlsx") # Access a specific worksheet worksheet = workbook.WorkSheets[0] # New data to be added new_content = ["Kent", 25, 55000] row_count = worksheet.RowCount + 1 # Add new data as a new row at the end of the worksheet for index, item in enumerate(new_content): worksheet.SetCellValue(row_count, index, str(item)) # Save the modified workbook workbook.SaveAs("modified_data.xlsx") from ironxl import * # Load an existing Excel file workbook = WorkBook.Load("output.xlsx") # Access a specific worksheet worksheet = workbook.WorkSheets[0] # New data to be added new_content = ["Kent", 25, 55000] row_count = worksheet.RowCount + 1 # Add new data as a new row at the end of the worksheet for index, item in enumerate(new_content): worksheet.SetCellValue(row_count, index, str(item)) # Save the modified workbook workbook.SaveAs("modified_data.xlsx") PYTHON In this example, we update an existing spreadsheet by adding new data as a new row at the specified location, i.e., at the end of the current data. Formatting Cells Another common chore when working with Excel files is formatting cells. For cell formatting, IronXL for Python offers comprehensive support, allowing you to adjust font styles, colors, borders, and alignment, and convert data into the desired format. from ironxl import * # Load an existing Excel file workbook = WorkBook.Load("output.xlsx") # Access a specific worksheet worksheet = workbook.WorkSheets[0] # Get the cell B2 cell = worksheet["B2"] # Set background color of the cell using an RGB string cell.Style.SetBackgroundColor("#428D65") # Save the workbook workbook.SaveAs("modified_data.xlsx") from ironxl import * # Load an existing Excel file workbook = WorkBook.Load("output.xlsx") # Access a specific worksheet worksheet = workbook.WorkSheets[0] # Get the cell B2 cell = worksheet["B2"] # Set background color of the cell using an RGB string cell.Style.SetBackgroundColor("#428D65") # Save the workbook workbook.SaveAs("modified_data.xlsx") PYTHON In the above code, we format cell "B2" by setting a background color and adjusting the style as desired. To learn more about the code, please visit the link here. Conclusion In summary, IronXL for Python offers developers a robust toolset for updating content, editing data, and formatting cells in Excel spreadsheets. It also offers a comprehensive solution for altering Excel files programmatically. IronXL's user-friendly API and smooth Python integration enable developers to optimize Excel file modification activities, resulting in more effective workflows for data management and analysis. The $799 Lite edition of IronXL comes with a permanent license, upgrade possibilities, and a year of software support. Customers can assess the product under real-world conditions throughout the trial time. Please check out the license page for additional information about IronXL's cost, licensing, and free trial. You may also find out more about Iron Software by visiting this website. 常见问题解答 如何使用Python修改Excel文件? 您可以通过加载文件、访问所需工作表和更新特定单元格,使用IronXL for Python修改Excel文件。IronXL允许您在更改后保存修改后的工作簿。 设置Python环境以进行Excel文件操作的步骤是什么? 要使用IronXL设置Python环境以进行Excel操作,请确保您安装了Python 3.0+和.NET 6.0 SDK。然后,使用pip install ironxl命令通过pip安装IronXL。 我可以使用Python库格式化Excel文件中的单元格吗? 可以,IronXL for Python提供了广泛的单元格格式选项,包括更改字体样式、颜色、边框、对齐和背景颜色,以增强电子表格的外观。 用于在Python中修改Excel文件的库支持哪些Excel格式? IronXL支持各种Excel格式,如CSV、xls(Excel 97–2003)、xlsx(Excel 2007及更高版本)和xlsm(带宏的Excel)。 是否可以在不同操作系统中使用Python库处理Excel文件? IronXL for Python兼容多个操作系统,包括Windows、Linux和macOS,为在不同平台上工作的开发人员提供灵活性。 IronXL for Python如何处理大型Excel数据集? IronXL经过优化,可以高效处理Excel文件中的大型数据集,允许开发人员执行各种数据操作而不会出现性能问题。 我可以将Excel操作的Python库集成到现有工作流程吗? 可以,IronXL的用户友好API和与Python的集成功能,使将Excel文件操作纳入现有数据管理和分析工作流程变得简单。 IronXL for Python是否提供试用版? 是的,IronXL提供一个免费试用期供用户评估其功能。有关许可和定价的详细信息可以在其网站上找到。 使用IronXL for Python进行Excel文件操作有什么优势? IronXL为Python中的Excel文件操作提供了一个强大且用户友好的解决方案,提供了用于数据更新、内容添加和单元格格式的全面功能套件,简化了数据管理流程。 如何使用Python库向Excel文件中添加新数据? 要使用IronXL添加新数据,请加载Excel文件,选择工作表,并使用SetCellValue方法将数据插入特定单元格,然后保存更新后的工作簿。 Curtis Chau 立即与工程团队聊天 技术作家 Curtis Chau 拥有卡尔顿大学的计算机科学学士学位,专注于前端开发,精通 Node.js、TypeScript、JavaScript 和 React。他热衷于打造直观且美观的用户界面,喜欢使用现代框架并创建结构良好、视觉吸引力强的手册。除了开发之外,Curtis 对物联网 (IoT) 有浓厚的兴趣,探索将硬件和软件集成的新方法。在空闲时间,他喜欢玩游戏和构建 Discord 机器人,将他对技术的热爱与创造力相结合。 相关文章 已更新六月 22, 2025 如何在 Python 中读取具有多个工作表的 Excel 文件 在本文中,我们将探索如何使用 IronXL for Python 读取多个 Excel 工作表,包括那些包含多个工作表的文件 阅读更多 已更新六月 22, 2025 无需 Pandas 即可在 Python 中读取 Excel 文件(无需 Interop) 处理 Microsoft Excel 时,第一个想到的库是 pandas,但还有其他强大的库如 IronXL,它们提供性能和速度。 阅读更多 已更新六月 22, 2025 如何使用 Python 将图像插入 Excel 本文将指导您完成使用 IronXL 在 Python 中将图像插入 Excel 的过程。 阅读更多 Python 保护 Excel (开发者教程)如何在 Python 中使用 Visual S...
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