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使用 IRONXL FOR PYTHON

Python 修改 Excel 文件(開發者教程)

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

  1. Open Visual Studio Code and create a Python file.
  2. Install IronXL using the pip package manager.
  3. After that, set up the Excel file that needs to be modified.
  4. Select the working spreadsheet and update the value by row and column index.
  5. 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.

Python Modify Excel File (Developer Tutorial): Figure 1 - Click New File in Visual Studio Code and name the file ModifyExcelFile.py

To access the command line in Visual Studio Code, choose Terminal > New Terminal from the menu.

Python Modify Excel File (Developer Tutorial): Figure 2 - Click on New terminal from the menu to open a terminal within Visual Studio Code

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.

Python Modify Excel File (Developer Tutorial): Figure 3 - Type the command above to install ironXL

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.

Python Modify Excel File (Developer Tutorial): Figure 4 - Example Excel Worksheet

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.

Python Modify Excel File (Developer Tutorial): Figure 5 - Replacing the value in the B2 cell to 29 programmatically using IronXL and python

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.

Python Modify Excel File (Developer Tutorial): Figure 6 - Adding a new row of data to the Excel Worksheet

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.

Python Modify Excel File (Developer Tutorial): Figure 7 - Formatting the B2 cell programmatically using IronXL and python

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.

常見問題解答

如何使用 Python 修改 Excel 文件?

您可以使用 IronXL for Python 修改 Excel 文件,方法是加載文件,訪問所需的工作表並更新特定的單元格。 IronXL 允許您在進行更改後保存修改過的工作簿。

設置 Excel 文件操作的 Python 環境有哪些步驟?

要使用 IronXL 設置 Excel 操作的 Python 環境,請確保已安裝 Python 3.0 及以上和 .NET 6.0 SDK。然後,使用命令 pip install ironxl 通過 pip 安裝 IronXL。

我可以使用 Python 庫格式化 Excel 文件中的單元格嗎?

是的,IronXL for Python 提供廣泛的單元格格式選項,包括更改字體樣式、顏色、邊框、對齊方式和背景顏色來增強電子表格的外觀。

哪些 Excel 格式由 Python 中的 Excel 文件修改庫支持?

IronXL 支持多種 Excel 格式,如 CSV,xls(Excel 97–2003),xlsx(Excel 2007 及以後版本)和 xlsm(帶宏的 Excel)。

是否可以在不同操作系統中使用 Python 庫處理 Excel 文件?

IronXL for Python 與多個操作系統兼容,包括 Windows、Linux 和 macOS,為在不同平台上工作的開發人員提供靈活性。

IronXL for Python 如何處理大型 Excel 數據集?

IronXL 經過優化,可以高效處理 Excel 文件中的大型數據集,允許開發人員在不影響性能的情況下進行各種數據操作。

我可以將 Python 庫集成到現有的 Excel 操作工作流程中嗎?

可以,IronXL 提供的易用 API 和與 Python 的集成能力,使得將 Excel 文件操作融入現有的數據管理和分析工作流程變得容易。

IronXL for Python 是否提供試用版本?

是的,IronXL 提供免費試用期,讓用戶評估其功能。詳細的授權和價格信息可以在他們的網站上找到。

在 Excel 文件操作中使用 IronXL for Python 有什麼優勢?

IronXL 提供了一個穩健且易用的解決方案,用於在 Python 中進行 Excel 文件操作,提供了一整套功能以進行數據更新、內容新增和單元格格式化,簡化了數據管理流程。

如何使用 Python 庫向 Excel 文件中添加新數據?

要使用 IronXL 添加新數據,請加載 Excel 文件,選擇工作表,並使用 SetCellValue 方法將數據插入到特定單元格中,然後保存更新的工作簿。

Curtis Chau
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。