5 Ways to Use Elerium Excel .NET Writer for Faster Spreadsheet Automation

Beginner’s Guide to Elerium Excel .NET Writer: Setup and First Project

This guide walks a beginner through installing Elerium Excel .NET Writer, creating a simple .NET project, and producing an Excel file with basic formatting and data export. Assumptions: you’re using .NET 6 or later on Windows, macOS, or Linux and have a code editor (Visual Studio, VS Code, Rider).

1. What Elerium Excel .NET Writer is (brief)

Elerium Excel .NET Writer is a .NET library for programmatically creating and writing Excel (.xlsx) files from .NET applications. It focuses on simple APIs for exporting data, applying basic formatting, and generating performance-friendly spreadsheets.

2. Prerequisites

  • .NET SDK 6+ installed (dotnet –version)
  • Code editor (Visual Studio 2022+, VS Code, JetBrains Rider)
  • NuGet access (dotnet CLI or IDE)
  • Basic C# familiarity

3. Install the package

Using the dotnet CLI:

Code

dotnet add package Elerium.Excel.NetWriter

Or via Visual Studio: Manage NuGet Packages → Browse → search “Elerium.Excel.NetWriter” → Install.

4. Create a new console project

Using the CLI:

Code

dotnet new console -n ExcelWriterDemo cd ExcelWriterDemo

Add the package if not done already.

5. Minimal example: create an Excel file

Create or replace Program.cs with this example (C#):

csharp

using System; using System.Collections.Generic; using Elerium.Excel; class Program { static void Main() { var filePath = “SampleReport.xlsx”; // Create a workbook and a worksheet using var writer = new ExcelWriter(filePath); var sheet = writer.AddWorksheet(“Report”); // Write headers sheet.SetCell(0, 0, “Id”); sheet.SetCell(0, 1, “Name”); sheet.SetCell(0, 2, “Date”); sheet.SetCell(0, 3, “Amount”); // Sample data var rows = new List<(int Id, string Name, DateTime Date, decimal Amount)> { (1, “Alice”, DateTime.Today.AddDays(-2), 123.45m), (2, “Bob”, DateTime.Today.AddDays(-1), 67.89m), (3, “Carol”, DateTime.Today, 250.00m) }; // Populate rows for (int i = 0; i < rows.Count; i++) { var r = rows[i]; sheet.SetCell(i + 1, 0, r.Id); sheet.SetCell(i + 1, 1, r.Name); sheet.SetCell(i + 1, 2, r.Date); sheet.SetCell(i + 1, 3, r.Amount); } // Apply simple formatting sheet.SetBold(0, 0, 0, 3); // bold header row sheet.SetNumberFormat(1, 3, rows.Count, 3, ”#,##0.00”); // currency format for Amount column sheet.AutoFitColumns(0, 0, 3); // auto-fit columns A-D // Save (disposed writer will flush to disk) writer.Save(); Console.WriteLine($“Created {filePath}); } }

Notes: API names above (ExcelWriter, AddWorksheet, SetCell, SetBold, SetNumberFormat, AutoFitColumns, Save) are representative; check the library’s actual API if names differ.

6. Common tasks and code snippets

  • Writing large datasets efficiently:
    • Use streaming row-writing methods if provided (e.g., BeginRow/WriteCell/EndRow) to minimize memory.
  • Adding formulas:

csharp

sheet.SetCellFormula(1, 4, ”=SUM(D2:D4)”); // place formula in row 2 column E (0-based indices assumed)
  • Merging cells and titles:

csharp

sheet.MergeCells(0, 0, 0, 3); // merge first row across columns A-D sheet.SetCell(0, 0, “Sales Report”); sheet.SetBold(0, 0, 0, 0);
  • Styling cells:
    • Fonts, background colors, borders — use style objects or shorthand API methods depending on library.

7. Tips for a smooth experience

  • Consult the library’s official documentation/examples for exact method names and advanced features.
  • For large exports, test memory and use any streaming APIs.
  • Validate generated files by opening in Excel or LibreOffice to ensure formatting and formulas behave as expected.
  • Add unit tests for code that generates files to assert cell values and structure (open package in-memory to inspect).

8. Troubleshooting

  • If NuGet package not found: confirm package name or check the vendor’s distribution channel (private feed, GitHub, or company site).
  • If Excel file is corrupted: ensure writer is properly disposed/saved and that no concurrent writes occur.
  • If formatting not applied: verify API expectations (0-based vs 1-based indices) and supported formats.

9. Next steps (suggested mini-projects)

  • Export data from a database query with pagination and streaming.
  • Build a formatted sales report with charts and conditional formatting.
  • Create an import/export utility that reads templates and fills placeholders.

If you’d like, I can adapt the example to read data from a CSV or SQL database, or produce a version for .NET Core on Linux.

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