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Create Line100PercentStacked Chart in XLSX Documents via C#

Generate a professional 100 % Stacked Line chart in Microsoft Excel XLSX files programmatically with Aspose.Cells for .NET.

 

Aspose.Cells for .NET Aspose.Cells for .NET

Overview

Creating a Line100PercentStacked chart (100 % stacked line) in an Excel workbook is straightforward with Aspose.Cells for .NET. The library enables you to build sophisticated charts without requiring Microsoft Excel on the server. This article demonstrates how to add data, define the chart range, and configure the chart type and appearance entirely in C#.

How to Create a Line100PercentStacked Chart in XLSX via C#

The following steps outline the process:

  1. Add the Aspose.Cells namespace.
  2. Instantiate a Workbook object.
  3. Populate a worksheet with the data that will be visualized.
  4. Insert a chart of type ChartType.Line100PercentStacked.
  5. Set chart title, axis titles, and optional style.
  6. Save the workbook as an XLSX file.

System Requirements

Supported on any platform that runs .NET Framework, .NET Core, .NET 5/6/7, Mono, Xamarin, or Azure Functions. Ensure you have Visual Studio (or another IDE) and the Aspose.Cells NuGet package installed.

- Windows, Linux, or macOS
- .NET Standard 2.0+ / .NET 5+
- Visual Studio 2019/2022 (or VS Code)

Install the library via NuGet:

nuget install Aspose.Cells

or

Install-Package Aspose.Cells

 

Create Line100PercentStacked Chart - C#

 
Aspose.Cells for .NET is a powerful spreadsheet processing library that enables developers to create, modify, convert, render, and print Excel files without Microsoft Office. In addition to chart generation, the API supports data validation, formula calculation, pivot tables, and more, making it ideal for enterprise‑grade reporting solutions.

XLSX What is XLSX File Format?

XLSX is the default file format for Microsoft Excel workbooks introduced with Office 2007. It follows the Open Packaging Conventions (OPC) and stores data as a collection of XML parts inside a ZIP archive, providing compact size and fast processing.

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