使用 IRONXL FOR PYTHON 如何在 Python 中创建一个 Excel 文件 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 This is one of the most powerful and efficient methods for automating data management and reporting tasks using Python to create Excel worksheet files. Libraries such as IronXL allow users to work with Excel programmatically; the developers can create XLS files, and modify, or manipulate XLSX file spreadsheets, allowing data entry tasks or even more complicated formatting, formula calculations, and creation of charts. Whether this pertains to automated report generation, processing extensive data, or bringing the functionality of Excel to applications, using Python gives flexible tools to allow developers an easy and efficient way of creating and working with Excel sheet files. What is IronXL The IronXL library is so strong and flexible that it lets its users work effortlessly with Excel files on top of Python code. This library does not require third-party software like Microsoft Excel to make, edit, or manage spreadsheets. In other words, this is a very different library. It reads and writes both the file formats .XLSX and .XLS, has formulas, styling, data validation, and creates charts, among other things. Its intuitive API lets developers easily create customized Excel reports, automate data entry, and connect Excel workflows with big applications. Further, it also provides an improved performance boost in dealing with big data and complex spreadsheets, pretty robust for any business or developer interested in the efficient management of Excel files within their Python projects. Additionally, its interface is fairly user-friendly, while the cross-platform compatibility makes it the first choice for anybody in search of a modern approach toward Excel automation. How to Create an Excel File in Python Install IronXL library. Import required classes from the IronXL library. Create a new Excel workbook. Add a worksheet to the workbook. Insert data into specific cells. Save the workbook as an Excel file. Features of IronXL IronXL is one high-featured library that works with Excel files in Python. Below are some of the key features of IronXL in detail: Read and Write Excel Files Supports Multiple Formats: With IronXL, we can create an Excel file and read an existing Excel file. This includes both the XLS and Excel XLSX file formats that enable the usage of different versions of Excel files. Cross Platform Compatibility: It lets the users work on the files in Excel without having to install them on the machine, running in Windows, Linux, and macOS environments. Formulas Microsoft Excel Formulas: It is capable of reading and writing Microsoft Excel formulas so that developers can perform calculations on the automated Excel spreadsheet. It supports formulas like SUM, AVERAGE, and VLOOKUP, besides complex ones with the use of nested ones in various forms. Dynamic Recalculation: In this library, formula recalculation is supported dynamically whenever data changes, and Excel files are maintained without manual recalculation for consistency. Data Modification and Formatting Modifying Cells and Ranges: Cells or ranges of data could be easily changed to different types, aligned data ranges, or used in cell format without the complexity of syntax. IronXL offers simple methods to set data types like text, number, dates, and booleans. Bulk Data Input: IronXL supports inputting bulk data into an Excel sheet, making it much more efficient while dealing with large datasets or automatically importing data. Styling and Formatting Cell and Text Formatting: IronXL supports formatting cells and text using more advanced fonts, colors, borders, and number formats, including currency and percentage formatting. The product allows the user to customize headers and footers and make even some data ranges bold or italic. Conditional Formatting: The rule for conditional formatting helps to enhance the presentation of data visually by applying styles based on the value in the cell's particular threshold may trigger the application of highlighting to the cell. Chart Creation Charting Capabilities: IronXL can create various forms of charts such as bar, line, pie, and column charts right inside the Excel sheets. This is very helpful to automatically run any visual reports and data summarizations. Chart Styling: The user can style colors and legends, titles, and axes of a chart based on branding or presentation requirements. Worksheet Management Multiple Worksheets: You can create, edit, and delete multiple worksheets within a single Excel file. This means that managing complex workbooks will be convenient. Sheet Navigation: You can navigate different sheets and focus on one after another, renaming or reordering sheets programmatically. Data Validation Input Validations: Using IronXL, you can define data validation rules on what you want not to accept in particular cells so that the entered data is clean and accurate. Dropdown Lists: This is how you can create dropdown lists so that users can easily choose the correct data in Excel for a more enjoyable and less error-prone experience. Setting Up Your Environment Create a New File Create a new file in VSCode and save it using the .py extension, marking it as a Python script. For this tutorial, you might call it CreateToExcel.py. Installing IronXL Open the integrated terminal in VSCode using Ctrl+\`` or navigate through the menu:View > Terminal`. Install IronXL by running the command: pip install ironxl pip install ironxl SHELL The IronXL library and its dependencies are downloaded and installed with this command. Create an Excel file Using IronXL Below is an example of how one could create and work with an Excel workbook when using the IronXL library with Python. from ironxl import * # Create new Excel WorkBook document workbook = WorkBook.Create() # Create a blank WorkSheet in the workbook worksheet = workbook.CreateWorkSheet("new_sheet") # Add data to the specific cell A1 of the worksheet worksheet["A1"].Value = "Hello World" # Save the Excel file with the name "test.xlsx" workbook.SaveAs("test.xlsx") from ironxl import * # Create new Excel WorkBook document workbook = WorkBook.Create() # Create a blank WorkSheet in the workbook worksheet = workbook.CreateWorkSheet("new_sheet") # Add data to the specific cell A1 of the worksheet worksheet["A1"].Value = "Hello World" # Save the Excel file with the name "test.xlsx" workbook.SaveAs("test.xlsx") PYTHON In this code: We start by importing all classes and functions from the ironxl library. We create a new Excel workbook using the WorkBook.Create method. A new blank worksheet named "new_sheet" is created and added to the workbook using the CreateWorkSheet method. The value "Hello World" is written to cell A1 of the worksheet. Finally, the workbook is saved to the disk as "test.xlsx" using the SaveAs method. This code highlights the basic steps for creating Excel files, adding data to them, and saving them to disk. IronXL simplifies automation tasks such as data entry and formatting in Excel. Conclusion In general, even though it is designed as a Python library, IronXL is capable of powerful creation, manipulation, and management of Excel files. It can be used in Python and enables Python's extensive feature set to interact with it, allowing users to automate tasks such as reading and writing data, applying styles, working with formulas, and even handling multiple file formats like .XLSX and .XLS. This makes IronXL an efficient and flexible solution for automating the Excel workflow in Python environments, particularly in projects requiring advanced Excel functionalities and cross-platform compatibility. IronXL still is quite an appealing option for Python developers who want to include power features of Excel functionalities within their applications. But possibilities lie in the vastness of data processing and presentation. You're well-equipped for that with having IronXL within your arsenal, being built on top of Python, so you can accomplish many Excel-related tasks. Users can start using IronXL without charge through its trial, and when ready to commit, license options are available starting at $599. To know more about the Iron Software products, refer to the library suite page. 常见问题解答 如何使用 Python 自动化创建和操作 Excel 文件? 您可以使用 IronXL 在 Python 中自动化创建和操作 Excel 文件。它允许您以编程方式创建 XLS 和 XLSX 文件,修改数据,并应用复杂的格式和公式,而无需 Microsoft Excel。 使用 IronXL 在 Python 中创建 Excel 文件的好处是什么? IronXL 在 Python 中创建 Excel 文件提供了强大的功能,诸如读取和写入 Excel 文件、管理公式、应用动态重计算和创建图表。其跨平台兼容性使其适用于 Windows、Linux 和 macOS。 如何设置 IronXL 在 Python 中创建 Excel 文件? 要在 Python 中设置 IronXL 以创建 Excel 文件,请使用命令 pip install ironxl 安装库。然后,按照说明创建工作簿、添加工作表、插入数据并保存文件。 IronXL 能否高效处理 Python 中的大型 Excel 数据集? 是的,IronXL 被设计用来高效处理大型数据集和复杂电子表格,提供了改进的性能,使其成为 Excel 大数据管理的理想选择。 IronXL 是否支持使用 Python 创建和样式化 Excel 图表? 是的,IronXL 支持创建和样式化各种类型的图表,如条形图、折线图、饼图和柱状图,并可自定义颜色、图例、标题和坐标轴。 IronXL 如何协助 Python 中的 Excel 公式管理? IronXL 支持读取和写入 Excel 公式,并提供动态重计算,确保您的数据在发生变化时保持准确和一致。 IronXL 是否是 Python 中跨平台的 Excel 文件操作解决方案? 是的,IronXL 兼容 Windows、Linux 和 macOS,使开发人员能够在各种操作环境中处理 Excel 文件。 IronXL 为 Python 中的 Excel 自动化提供了哪些高级功能? IronXL 提供高级功能如批量数据输入、条件格式和数据验证,使其适合处理复杂电子表格和自动化 Excel 任务。 使用 IronXL 在 Python 中进行 Excel 自动化的成本是多少? IronXL 提供试用版本供初次使用,并提供起价为$599的许可选项,提供对其广泛 Excel 自动化功能的全面访问。 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 如何使用 Python 将图像插入 Excel在 Python 中从 Excel 数据生...
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