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使用 IRONXL FOR PYTHON

如何在 Python 中創建 Excel 文件

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.

How to Create an Excel File in Python: Figure 1 - IronXL

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

  1. Install IronXL library.
  2. Import required classes from the IronXL library.
  3. Create a new Excel workbook.
  4. Add a worksheet to the workbook.
  5. Insert data into specific cells.
  6. 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.

How to Create an Excel File in Python: Figure 2 - New File

Installing IronXL

Open the integrated terminal in VSCode using Ctrl+\`` or navigate through the menu:View > Terminal`.

How to Create an Excel File in Python: Figure 3 - Terminal

Install IronXL by running the command:

pip install ironxl
pip install ironxl
SHELL

How to Create an Excel File in Python: Figure 4 - Install IronXL

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:

  1. We start by importing all classes and functions from the ironxl library.
  2. We create a new Excel workbook using the WorkBook.Create method.
  3. A new blank worksheet named "new_sheet" is created and added to the workbook using the CreateWorkSheet method.
  4. The value "Hello World" is written to cell A1 of the worksheet.
  5. Finally, the workbook is saved to the disk as "test.xlsx" using the SaveAs method.

How to Create an Excel File in Python: Figure 5 - Excel Output

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.

How to Create an Excel File in Python: Figure 6 - Licensing

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.

常見問題解答

我如何使用 Python 自動化 Excel 文件的創建和操控?

您可以使用 IronXL 在 Python 中自動創建和操作 Excel 文件,它使您能夠以編程方式創建 XLS 和 XLSX 文件、修改數據並應用複雜的格式和公式,而無需 Microsoft Excel。

使用 IronXL 在 Python 中創建 Excel 文件有什麼好處?

IronXL 提供強大的功能以在 Python 中創建 Excel 文件,例如讀取和寫入 Excel 文件、管理公式、應用動態重計算和創建圖表。其跨平台兼容性使其適用於 Windows、Linux 和 macOS。

如何設置 IronXL 以便在 Python 中創建 Excel 文件?

要設置 IronXL 以在 Python 中創建 Excel 文件,請使用命令 pip install ironxl 安裝該庫。然後,按照說明創建工作簿、添加工作表、插入數據並保存文件。

IronXL 可以在 Python 中高效地處理大型 Excel 數據集嗎?

是的,IronXL 設計用於高效處理大型數據集和複雜的電子表格,提供了改進的性能,使其成為大數據管理在 Excel 中的理想選擇。

IronXL 支持在 Python 中創建和設計 Excel 圖表嗎?

是的,IronXL 支持創建和設計各類圖表,例如條形圖、折線圖、餅圖和柱狀圖,並提供顏色、圖例、標題和軸的自定義選項。

IronXL 如何在 Python 中協助 Excel 公式管理?

IronXL 支持讀取和寫入 Excel 公式並提供動態重計算,確保您的數據在變更時保持準確和一致。

IronXL 是一個用於 Python 中操作 Excel 文件的跨平台解決方案嗎?

是的,IronXL 兼容於 Windows、Linux 和 macOS,允許開發人員在不同的操作環境中處理 Excel 文件。

IronXL 為在 Python 中的 Excel 自動化提供了哪些高級功能?

IronXL 提供高級功能,如批量數據輸入、條件格式和數據驗證,使其適合於處理複雜的電子表格和自動化 Excel 任務。

使用 IronXL 在 Python 中進行 Excel 自動化的成本是多少?

IronXL 提供一個試用版本可用於初步使用,授權選項起價 $599,提供其全面功能以進行 Excel 自動化。

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。