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The C# Excel Library
using IronXL;
using System;
using System.Linq;
// Supported for XLSX, XLS, XLSM, XLTX, CSV and TSV
WorkBook workBook = WorkBook.Load("sample.xlsx");
// Select worksheet at index 0
WorkSheet workSheet = workBook.WorkSheets[0];
// Get any existing worksheet
WorkSheet firstSheet = workBook.DefaultWorkSheet;
// Select a cell and return the converted value
int cellValue = workSheet["A2"].IntValue;
// Read from ranges of cells elegantly.
foreach (var cell in workSheet["A2:A10"])
{
Console.WriteLine("Cell {0} has value '{1}'", cell.AddressString, cell.Text);
}
// Calculate aggregate values such as Min, Max and Sum
decimal sum = workSheet["A2:A10"].Sum();
// Linq compatible
decimal max = workSheet["A2:A10"].Max(c => c.DecimalValue);
In this tutorial, we explore exporting data in Excel using Blazor and IronXL within Visual Studio 2022. The process begins with setting up a 'save as file.js' script to create a download link for files, using a base64 byte array as input. This script is linked to the Blazor app by referencing it in the 'host.cshtml' file. We then delve into the 'export excel.cs' file, which houses the main procedure for data conversion to Excel. Here, we define a method 'Excel generate' to create and populate an Excel workbook and worksheet with sample data, headers, product names, SKUs, and customer information. Using JS interop, we call the JavaScript function to download the Excel file. The 'export Excel.Razor' file creates a button to trigger the 'Excel generate' method, facilitated by an instance of 'IJSRuntime' for JavaScript function invocation. Finally, the 'navmenu.Razor' file is updated to include a navigation link to the Excel export page. Running the project allows us to generate and download an Excel file, showcasing the defined data, headers, and demonstrating IronXL's capabilities in Blazor.
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Test in production without watermarks.
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Full access to our support engineering team during your product trial
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