Export DataTable to Excel with formatting in C#, VB.NET.
Syncfusion® Excel (XlsIO) library is a .NET Excel library used to create, read, and edit Excel documents. It also, converts an Excel documents to PDF files. Using this library, you can start importing or exporting data between a worksheet and DataTable in C# and VB.NET.
DataTable is a memory representation of a database with a collection of rows and columns. Data in an existing worksheet can also be exported to data tables and CLR objects.
Syncfusion® Excel (XlsIO) library supports exporting DataTable to Excel worksheets using ImportDataTable. To achieve this, first, you need to load data into a DataTable instance, and the loaded table can be exported to an Excel worksheet.
The ImportDataTable feature will export DataTable to Excel with formatting. For example, if the string type contains ‘%’, ‘$’, ‘Date’, etc., it gets exported with the respective formatting applied to the cell.
Steps to export DataTable to Excel with formatting, programmatically:
Step 1: Create a new C# console application project.
Create a new C# console application
Step 2: Install the Syncfusion.XlsIO.WinForms NuGet package as reference to your .NET Framework application from NuGet.org.
Install the NuGet package.
Step 3: Include the following namespace in the Program.cs file.
C#
using Syncfusion.XlsIO; using System.Data;
VB.NET
Imports Syncfusion.XlsIO
Step 4: Use the following code snippet to export DataTable to Excel with formatting in C# and VB.NET.
C#
// Create an instance of ExcelEngine using (ExcelEngine excelEngine = new ExcelEngine()) { // Initialize application object IApplication application = excelEngine.Excel; // Set the default application version as Excel 2016 application.DefaultVersion = ExcelVersion.Excel2016; // Create a new workbook IWorkbook workbook = application.Workbooks.Create(1); // Access the first worksheet from the workbook instance IWorksheet worksheet = workbook.Worksheets[0]; // Exporting DataTable to worksheet DataTable dataTable = GetDataTable(); worksheet.ImportDataTable(dataTable, true, 1, 1); worksheet.UsedRange.AutofitColumns(); // Save the workbook to disk in xlsx format workbook.SaveAs("Output.xlsx"); }
VB.NET
'Create an instance of ExcelEngine Using excelEngine As ExcelEngine = New ExcelEngine() 'Initialize application object Dim application As IApplication = excelEngine.Excel 'Set the default application version as Excel 2016 application.DefaultVersion = ExcelVersion.Excel2016 'Create a new workbook Dim workbook As IWorkbook = application.Workbooks.Create(1) 'Access first worksheet from the workbook instance Dim worksheet As IWorksheet = workbook.Worksheets(0) 'Exporting DataTable to worksheet Dim dataTable As DataTable = GetDataTable() worksheet.ImportDataTable(dataTable, True, 1, 1) worksheet.UsedRange.AutofitColumns() 'Save the workbook to disk in xlsx format workbook.SaveAs("Output.xlsx") End Using
Step 5: Load the DataTable using the following simple static method.
C#
private static DataTable GetDataTable() { // Create a DataTable with four columns DataTable table = new DataTable(); table.Columns.Add("Dosage in %", typeof(string)); table.Columns.Add("Drug", typeof(string)); table.Columns.Add("Patient", typeof(string)); table.Columns.Add("Date", typeof(DateTime)); table.Columns.Add("Price in $", typeof(string)); // Add five DataRows table.Rows.Add("25%", "Indocin", "David", DateTime.Now,"$10"); table.Rows.Add("50%", "Enebrel", "Sam", DateTime.Now,"$15"); table.Rows.Add("10%", "Hydralazine", "Christoff", DateTime.Now,"$20"); table.Rows.Add("21%", "Combivent", "Janet", DateTime.Now,"$25"); table.Rows.Add("100%", "Dilantin", "Melanie", DateTime.Now,"$30"); return table; }
VB.NET
Private Function GetDataTable() As DataTable 'Create a DataTable with four columns Dim table As DataTable = New DataTable() table.Columns.Add("Dosage in %", GetType(String)) table.Columns.Add("Drug", GetType(String)) table.Columns.Add("Patient", GetType(String)) table.Columns.Add("Date", GetType(DateTime)) table.Columns.Add("Price in $", GetType(String)) 'Add five DataRows table.Rows.Add("25%", "Indocin", "David", DateTime.Now, "$10") table.Rows.Add("50%", "Enebrel", "Sam", DateTime.Now, "$15") table.Rows.Add("10%", "Hydralazine", "Christoff", DateTime.Now, "$20") table.Rows.Add("21%", "Combivent", "Janet", DateTime.Now, "$25") table.Rows.Add("100%", "Dilantin", "Melanie", DateTime.Now, "$30") Return table End Function
A complete working example of how to export DataTable to Excel with formatting in C# and VB.NET can be downloaded from Export DataTable to Excel with Formatting.zip.
By executing the program, you will get the output Excel file as shown below.
Output Excel document
Know more about Syncfusion® Excel (XlsIO) library through the documentation, where you can find supported features like importing and exporting in DataTable, appending multiple records to worksheet using Template Markers, exporting worksheets into CLR Objects etc., with respective code examples.
Refer here to explore the rich set of Syncfusion® Excel (XlsIO) library features.
An online sample link to Export Data using CLR Objects.
See Also:
Export DataTable to Excel in C#, VB.NET
Create Excel from DataTable in C#, VB.NET
How to export data from Excel file to DataTable
How to export DataTable with images to Excel in C#, VB.NET?
How to preserve data types during ImportDataTable in C#, VB.NET?
How to load data from Excel file to DataGrid/DataGridView?
Note:
Starting with v16.2.0.x, if you reference Syncfusion® assemblies from a trial setup or from the NuGet feed, include a license key in your projects. Refer to the link to learn about generating and registering the Syncfusion® license key in your application to use the components without a trial message.
I hope you enjoyed learning about how to export DataTable to Excel with formatting using Syncfusion .NET Excel library.
You can refer to our .NET Excel library page to know about its other groundbreaking feature representations and documentation, and how to quickly get started for configuration specifications. You can also explore our .NET Excel library example to understand how to create and manipulate data.
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