使用 IRONXL FOR PYTHON 如何使用 Python 在 Excel 文件中合併單元格 Curtis Chau 更新日期:6月 22, 2025 Download IronXL pip 下載 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 In the world of spreadsheet manipulation, Excel stands as a foundational tool, offering a multitude of functionalities catering to various needs in finance, engineering, statistics, and beyond. Among its many features, the ability to merge specific cells in Excel is one often employed to enhance data presentation and visualization. In the dynamic landscape of data management, organizing and consolidating data efficiently is paramount. Excel, with its versatile features, serves as a go-to tool for many professionals. However, when it comes to merging or unmerging cells in Excel programmatically, Python emerges as a powerful ally. In this article, we'll explore how Python, coupled with a library like IronXL, simplifies the process of merging cells in a new Excel file, enabling users to streamline their data organization workflows. How to Merge Cells in an Excel File Using Python Install IronXL. Load existing Workbook. Select Excel Worksheet. Use the Merge function to merge specific cells. Use the Unmerge function to unmerge cells in Excel. Why Use IronXL? IronXL is a powerful Python library developed and maintained by Iron Software. Its primary purpose is to provide an intuitive and efficient way to work with Excel files (and other spreadsheet formats) in Python applications and websites. Here are some key features of IronXL: IronXL allows you to read data from existing Excel files (XLSX, XLS, XLSM, XLTX, CSV, and TSV). You can also generate new Excel files and edit existing ones programmatically. IronXL works seamlessly across different platforms, including Windows, macOS, Linux, Docker, Azure, and AWS. Whether you’re developing on your local machine or deploying to the cloud, IronXL has you covered. The library provides an easy-to-use API for working with Excel spreadsheets. You can load workbooks, select worksheets, read cell values, apply styles, unmerge cells, and perform various operations without a complex setup. IronXL allows you to style cells by setting font properties, background patterns, borders, and alignment. You can format cell values as text, numbers, dates, currency, percentages, and more. You can work with Excel formulas, and they are recalculated every time a sheet is edited. Perform calculations on ranges of cells, such as finding the sum, minimum, or maximum value. Using IronXL to Merge Cells in Excel File Before we begin, make sure you have IronXL installed. You can install it using pip: pip install ironxl pip install ironxl SHELL This will install IronXL in our Project. Load Excel Workbook The very first step is to load the Excel workbook into memory. We will load the following Excel file and utilize it throughout this tutorial. The following code will load the existing workbook in our project. from ironxl import * # Import entire module from ironxl for Excel operations # Set license key for IronXL (Replace the license key with an actual valid key) License.LicenseKey = "IRONSUITE.XYZ.ABC.COM.15796-DEPLOYMENT.TRIAL-5X73V4.TRIAL.EXPIRES.27.MAY.2024" # Load existing workbook workbook = WorkBook.Load("test_excel.xlsx") from ironxl import * # Import entire module from ironxl for Excel operations # Set license key for IronXL (Replace the license key with an actual valid key) License.LicenseKey = "IRONSUITE.XYZ.ABC.COM.15796-DEPLOYMENT.TRIAL-5X73V4.TRIAL.EXPIRES.27.MAY.2024" # Load existing workbook workbook = WorkBook.Load("test_excel.xlsx") PYTHON The above Python code demonstrates the usage of IronXL, a library for working with Excel files. After importing the necessary module from IronXL, a license key is provided to authenticate the usage of the library. You can purchase your free license key from the IronXL trial license. The Load method is then employed to open an Excel workbook named "test_excel.xlsx". This workbook could contain various sheets with data or formatting. By loading it into the script, you gain the ability to manipulate its contents programmatically. This includes tasks like reading data, modifying cell values, or creating entirely new sheets. The library supports various file formats including XLSX, XLS, XLSM, XLTX, CSV, and TSV, making it versatile for handling different types of Excel files seamlessly. Select Excel Worksheet The next step is to select the worksheet we want to work on. The following code will specify the Excel spreadsheet. # Select worksheet at index 0 worksheet = workbook.WorkSheets[0] # Select worksheet at index 0 worksheet = workbook.WorkSheets[0] PYTHON The above line selects the worksheet at index 0 from the loaded Excel workbook, assigning it to the variable worksheet. In Excel, worksheets are individual tabs within a workbook where you can organize and manipulate data. By referencing the worksheet at index 0, you're accessing the first worksheet in the workbook, as indexing in Python typically starts from 0. This allows you to perform operations specific to that particular sheet, such as reading data, modifying cell values, or applying formatting. Merge specific cells in an Excel file Now that we have loaded the workbook and selected the worksheet, let's define the specific range of cells to merge. Within our selected worksheet, there's a column containing country names. For certain customers, the country value is the same, such as 'United States'. We'll merge cells in Excel for these specific instances. The following code will perform merge operations for a particular range. # Merge cells within specified ranges worksheet.Merge("E5:E7") worksheet.Merge("E9:E10") # Save workbook to retain changes workbook.Save() # Merge cells within specified ranges worksheet.Merge("E5:E7") worksheet.Merge("E9:E10") # Save workbook to retain changes workbook.Save() PYTHON These lines of code utilize the Merge method to combine cells within the selected worksheet. The first line merges cells in the range from E5 to E7, likely for consolidating data related to the "United States" in the country column. Similarly, the second line merges cells from E9 to E10, for another set of data entries with the same country value. After merging, the Save method is called to save the changes made to the workbook. This action ensures that the merged cells are retained in the Excel file. The Merge method is used to merge a range of cells. This action combines the cells without erasing any existing values or data. However, only the value of the first cell in the merged cell region will be displayed. Nonetheless, the values of the merged cells remain accessible in IronXL. Merged cells can be seen in the given output. Retrieve Merged Regions Merged regions in Excel refer to contiguous blocks of merged cells that have been combined into a single cell. Retrieving merged regions programmatically allows for the identification and handling of these areas within a worksheet. This information is useful for various tasks such as data analysis, formatting adjustments, or ensuring accurate data manipulation across merged cells. The following code will retrieve merged regions from an Excel worksheet. # Print merged regions in the worksheet print("Merged Regions are:") retrieveMergedRegions = worksheet.GetMergedRegions() for mergedRegion in retrieveMergedRegions: print(mergedRegion.RangeAddressAsString) # Print merged regions in the worksheet print("Merged Regions are:") retrieveMergedRegions = worksheet.GetMergedRegions() for mergedRegion in retrieveMergedRegions: print(mergedRegion.RangeAddressAsString) PYTHON The above code first prints a header indicating the start of the output related to merged regions. It then retrieves all the merged regions from the specified worksheet using the GetMergedRegions() method and iterates over each merged region. Within the loop, it prints the address of each merged region as a string using RangeAddressAsString. This provides a clear list of all merged regions in the worksheet, aiding in tasks such as identifying merged areas for data analysis, formatting adjustments, or targeted operations within the Excel file. The previously merged cells are: Unmerge cells in Excel file Unmerging cells in an Excel file involves reversing the process of merging and separating previously combined cells into individual cells. To unmerge cells in an Excel file using IronXL, you can use the Unmerge method. Here's how you can do it: # Unmerge cells within specified ranges worksheet.Unmerge("E5:E7") worksheet.Unmerge("E9:E10") # Save workbook to retain changes workbook.Save() # Unmerge cells within specified ranges worksheet.Unmerge("E5:E7") worksheet.Unmerge("E9:E10") # Save workbook to retain changes workbook.Save() PYTHON In the above code snippet, the Unmerge method is used to unmerge the cells within the specified ranges, specifically targeting the ranges E5:E7 and E9:E10. This action restores the individuality of cells within these ranges, allowing for independent manipulation of their contents. Finally, the Save method is invoked to ensure that the changes are reflected and persisted in the Excel workbook. Conclusion In conclusion, Python, in combination with IronXL, simplifies the task of merging cells in Excel, enhancing data organization and visualization efforts. IronXL's extensive capabilities, rich features, and user-friendly interface empower users to seamlessly manipulate Excel files, from loading workbooks to merging specific cell ranges programmatically. With a free trial available for exploration and a comprehensive licensing option, IronXL offers a compelling solution for professionals seeking efficient data management in Python applications. 常見問題解答 如何使用 Python 在 Excel 中合併儲存格? 您可以使用 IronXL 庫在 Python 中合併 Excel 中的儲存格,方法是加載活頁簿和工作表,然後將 Merge 函數應用於所需的儲存格範圍,例如 worksheet.Merge('A1:B2')。 是否可以使用 Python 在 Excel 中解除合併儲存格? 是的,使用 IronXL,您可以通過將 Unmerge 方法應用於指定的儲存格範圍,例如 worksheet.Unmerge('A1:B2'),來使用 Python 解除 Excel 中的合併儲存格。 使用 IronXL 合併儲存格涉及哪些步驟? 要使用 IronXL 合併儲存格,請首先安裝該庫,然後加載您的 Excel 活頁簿,選擇工作表,並將 Merge 函數應用於您要合併的特定儲存格範圍。 IronXL 可以識別 Excel 表格中合併的儲存格區域嗎? 可以,IronXL 可以使用 GetMergedRegions() 方法識別合併的儲存格區域,該方法提供了工作表中合併區域的列表。 IronXL 為 Python 中的 Excel 文件操作提供了哪些優勢? IronXL 提供了跨平台兼容性、支持各種 Excel 格式、直觀的 API 以讀寫數據、設置儲存格樣式以及使用公式進行計算等優勢。 如何在 Python 項目中安裝 IronXL? 您可以使用 pip 命令在 Python 項目中安裝 IronXL:pip install ironxl。 IronXL 支持多種 Excel 文件格式嗎? 是的,IronXL 支持多種 Excel 文件格式,包括 XLSX、XLS、XLSM、XLTX、CSV 以及 TSV,這使其在不同的數據管理需求中非常靈活。 我可以在購買授權之前試用 IronXL 嗎? 是的,IronXL 提供免費的試用版本,允許用戶在承諾購買授權前探索其功能和能力。 Curtis Chau 立即與工程團隊聊天 技術作家 Curtis Chau 擁有卡爾頓大學計算機科學學士學位,專注於前端開發,擅長於 Node.js、TypeScript、JavaScript 和 React。Curtis 熱衷於創建直觀且美觀的用戶界面,喜歡使用現代框架並打造結構良好、視覺吸引人的手冊。除了開發之外,Curtis 對物聯網 (IoT) 有著濃厚的興趣,探索將硬體和軟體結合的創新方式。在閒暇時間,他喜愛遊戲並構建 Discord 機器人,結合科技與創意的樂趣。 相關文章 更新日期 6月 22, 2025 如何在 Python 中讀取具有多個工作表的 Excel 文件 在這篇文章中,我們將探討如何使用 IronXL for Python 讀取多個 Excel 工作表,包括那些具有多個工作表的文件。 閱讀更多 更新日期 6月 22, 2025 在不需要 Pandas 的情況下,使用 Python 讀取 Excel 文件(無需 Interop) 處理 Microsoft Excel 時,pandas 是首先想到的庫,但還有其他強大的庫如 IronXL,提供性能和速度。 閱讀更多 更新日期 6月 22, 2025 如何使用 Python 將圖片插入 Excel 這篇文章將指導您使用 IronXL 在 Python 中將圖像插入 Excel 的過程。 閱讀更多 如何在 Python 中編輯 Excel 文件Python 用於 Excel 文件的包(...
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