C# 中讀取 Excel 檔案的最佳方法 | IronXL 逐步指南

dotnet add package IronXL.Excel

Install-Package IronXL.Excel

using IronXL;

// Load any supported format -- XLSX、XLS, or CSV
WorkBook workbook = WorkBook.Load("financial_report.xlsx");

// Access the first worksheet by position
WorkSheet worksheet = workbook.WorkSheets[0];

// Or retrieve a named worksheet
WorkSheet expenses = workbook.GetWorkSheet("Expenses");

Console.WriteLine($"Sheets loaded: {workbook.WorkSheets.Count}");
Console.WriteLine($"Default sheet rows: {worksheet.RowCount}");

Imports IronXL

' Load any supported format -- XLSX, XLS, or CSV
Dim workbook As WorkBook = WorkBook.Load("financial_report.xlsx")

' Access the first worksheet by position
Dim worksheet As WorkSheet = workbook.WorkSheets(0)

' Or retrieve a named worksheet
Dim expenses As WorkSheet = workbook.GetWorkSheet("Expenses")

Console.WriteLine($"Sheets loaded: {workbook.WorkSheets.Count}")
Console.WriteLine($"Default sheet rows: {worksheet.RowCount}")

using IronXL;

WorkBook workbook = WorkBook.Load("Products.xlsx");
WorkSheet sheet = workbook.DefaultWorkSheet;

// Address-based access with typed properties
string productName = sheet["A2"].StringValue;
int quantity       = sheet["B2"].IntValue;
decimal price      = sheet["C2"].DecimalValue;
bool inStock       = sheet["D2"].BoolValue;

// Check for empty cells before processing
var statusCell = sheet["E2"];
if (statusCell.Value != null && statusCell.StringValue.Length > 0)
{
    Console.WriteLine($"Status: {statusCell.StringValue}");
}

// Row/column index access (zero-based)
var firstDataCell = sheet.Rows[1].Columns[0];
Console.WriteLine($"Product: {productName}, Qty: {quantity}, Price: {price:C}");

Imports IronXL

Dim workbook As WorkBook = WorkBook.Load("Products.xlsx")
Dim sheet As WorkSheet = workbook.DefaultWorkSheet

' Address-based access with typed properties
Dim productName As String = sheet("A2").StringValue
Dim quantity As Integer = sheet("B2").IntValue
Dim price As Decimal = sheet("C2").DecimalValue
Dim inStock As Boolean = sheet("D2").BoolValue

' Check for empty cells before processing
Dim statusCell = sheet("E2")
If statusCell.Value IsNot Nothing AndAlso statusCell.StringValue.Length > 0 Then
    Console.WriteLine($"Status: {statusCell.StringValue}")
End If

' Row/column index access (zero-based)
Dim firstDataCell = sheet.Rows(1).Columns(0)
Console.WriteLine($"Product: {productName}, Qty: {quantity}, Price: {price:C}")

using IronXL;

WorkBook workbook = WorkBook.Load("financial_report.xlsx");
WorkSheet sheet = workbook.WorkSheets[0];

// Iterate a cell range -- skips header row
foreach (var cell in sheet["A2:D100"])
{
    Console.WriteLine($"{cell.AddressString}: {cell.Text}");
}

// Row-by-row with column access
for (int rowIndex = 1; rowIndex < sheet.RowCount; rowIndex++)
{
    var row = sheet.Rows[rowIndex];
    var values = new System.Text.StringBuilder();

    foreach (var cell in row)
    {
        if (cell.Value != null)
            values.Append($"{cell.StringValue}\t");
    }

    Console.WriteLine(values.ToString().TrimEnd());
}

Imports IronXL
Imports System.Text

Dim workbook As WorkBook = WorkBook.Load("financial_report.xlsx")
Dim sheet As WorkSheet = workbook.WorkSheets(0)

' Iterate a cell range -- skips header row
For Each cell In sheet("A2:D100")
    Console.WriteLine($"{cell.AddressString}: {cell.Text}")
Next

' Row-by-row with column access
For rowIndex As Integer = 1 To sheet.RowCount - 1
    Dim row = sheet.Rows(rowIndex)
    Dim values As New StringBuilder()

    For Each cell In row
        If cell.Value IsNot Nothing Then
            values.Append($"{cell.StringValue}" & vbTab)
        End If
    Next

    Console.WriteLine(values.ToString().TrimEnd())
Next

using IronXL;

// Load different formats with identical API
WorkBook xlsxBook = WorkBook.Load("Modern.xlsx");
WorkBook xlsBook  = WorkBook.Load("Legacy.xls");
WorkBook csvBook  = WorkBook.Load("Export.csv");

// Access worksheets identically across formats
WorkSheet sheet1 = xlsxBook.DefaultWorkSheet;
WorkSheet sheet2 = xlsBook.DefaultWorkSheet;
WorkSheet sheet3 = csvBook.DefaultWorkSheet;

// Cross-format conversion -- save XLSX as CSV, or CSV as XLSX
xlsxBook.SaveAs("converted_output.csv");
csvBook.SaveAs("structured_output.xlsx");

Console.WriteLine($"XLSX rows: {sheet1.RowCount}");
Console.WriteLine($"XLS rows:  {sheet2.RowCount}");
Console.WriteLine($"CSV rows:  {sheet3.RowCount}");

Imports IronXL

' Load different formats with identical API
Dim xlsxBook As WorkBook = WorkBook.Load("Modern.xlsx")
Dim xlsBook As WorkBook = WorkBook.Load("Legacy.xls")
Dim csvBook As WorkBook = WorkBook.Load("Export.csv")

' Access worksheets identically across formats
Dim sheet1 As WorkSheet = xlsxBook.DefaultWorkSheet
Dim sheet2 As WorkSheet = xlsBook.DefaultWorkSheet
Dim sheet3 As WorkSheet = csvBook.DefaultWorkSheet

' Cross-format conversion -- save XLSX as CSV, or CSV as XLSX
xlsxBook.SaveAs("converted_output.csv")
csvBook.SaveAs("structured_output.xlsx")

Console.WriteLine($"XLSX rows: {sheet1.RowCount}")
Console.WriteLine($"XLS rows:  {sheet2.RowCount}")
Console.WriteLine($"CSV rows:  {sheet3.RowCount}")

using IronXL;
using System.Linq;

WorkBook workbook = WorkBook.Load("Financials.xlsx");
WorkSheet sheet = workbook.DefaultWorkSheet;

// Built-in aggregates -- no manual looping needed
decimal totalSales = sheet["B2:B50"].Sum();
decimal maxRevenue = sheet["C2:C50"].Max(c => c.DecimalValue);
decimal avgMargin  = sheet["D2:D50"].Avg();

// LINQ filtering directly on a range
var highValueRows = sheet["C2:C50"]
    .Where(c => c.DecimalValue > 1000)
    .Select(c => new { c.AddressString, c.DecimalValue });

foreach (var row in highValueRows)
    Console.WriteLine($"高的 value at {row.AddressString}: {row.DecimalValue:C}");

// Write a calculated result back to the sheet
sheet["E2"].Value = totalSales;
workbook.SaveAs("Financials_Updated.xlsx");

Console.WriteLine($"Total: {totalSales:C}, Max: {maxRevenue:C}, Avg: {avgMargin:C}");

Imports IronXL
Imports System.Linq

Dim workbook As WorkBook = WorkBook.Load("Financials.xlsx")
Dim sheet As WorkSheet = workbook.DefaultWorkSheet

' Built-in aggregates -- no manual looping needed
Dim totalSales As Decimal = sheet("B2:B50").Sum()
Dim maxRevenue As Decimal = sheet("C2:C50").Max(Function(c) c.DecimalValue)
Dim avgMargin As Decimal = sheet("D2:D50").Avg()

' LINQ filtering directly on a range
Dim highValueRows = sheet("C2:C50") _
    .Where(Function(c) c.DecimalValue > 1000) _
    .Select(Function(c) New With {Key .AddressString = c.AddressString, Key .DecimalValue = c.DecimalValue})

For Each row In highValueRows
    Console.WriteLine($"高的 value at {row.AddressString}: {row.DecimalValue:C}")
Next

' Write a calculated result back to the sheet
sheet("E2").Value = totalSales
workbook.SaveAs("Financials_Updated.xlsx")

Console.WriteLine($"Total: {totalSales:C}, Max: {maxRevenue:C}, Avg: {avgMargin:C}")

using IronXL;
using System.Data;

WorkBook workbook = WorkBook.Load("SalesData.xlsx");
WorkSheet sheet = workbook.DefaultWorkSheet;

// Convert worksheet to DataTable -- first row becomes column headers
DataTable dataTable = sheet.ToDataTable(true);

Console.WriteLine($"Columns: {dataTable.Columns.Count}");
Console.WriteLine($"Rows:    {dataTable.Rows.Count}");

// Iterate the DataTable normally
foreach (DataRow row in dataTable.Rows)
{
    Console.WriteLine($"{row["ProductName"]} -- {row["Quantity"]} -- {row["Price"]}");
}

Imports IronXL
Imports System.Data

Dim workbook As WorkBook = WorkBook.Load("SalesData.xlsx")
Dim sheet As WorkSheet = workbook.DefaultWorkSheet

' Convert worksheet to DataTable -- first row becomes column headers
Dim dataTable As DataTable = sheet.ToDataTable(True)

Console.WriteLine($"Columns: {dataTable.Columns.Count}")
Console.WriteLine($"Rows:    {dataTable.Rows.Count}")

' Iterate the DataTable normally
For Each row As DataRow In dataTable.Rows
    Console.WriteLine($"{row("ProductName")} -- {row("Quantity")} -- {row("Price")}")
Next