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When working with spreadsheets, the Microsoft Excel application is a popular spreadsheet tool designed for managing large data sets in a tabular format. It offers powerful features such as complex calculations, data visualization through charts and graphs, pivot tables, and support for automation via Visual Basic for Applications (VBA). Its robust data analysis and visualization tools have made Excel a leading choice across various industries. With Excel, you can easily create, edit, view, and share files, streamlining your data management tasks.
In C#, the DataTable object in the ADO.NET library represents tabular data within a program, much like an Excel worksheet. It organizes data into rows and columns, allowing for easy manipulation and export. Just like Excel, DataTable supports filtering, sorting, and formatting options, making it a go-to tool for managing data ranges in C#. However, DataTable is created at runtime, and its data is lost when the application is closed, unless exported to a more permanent format, such as an Excel file or CSV file.
Today, we will be exploring how to create a DataTable in C# and export its data to an Excel document using IronXL, a powerful .NET Excel library.
IronXL is a C# .NET library, which simplifies the process of creating Excel files. With IronXL, you can create new spreadsheets, edit existing ones, work with Excel formulas, style your spreadsheet's cells, and more. Its rich range of features makes working with Excel files programmatically a breeze, and, most importantly, IronXL works without Microsoft Office Interop. This means no need to install Microsoft Office or any other special dependencies.
With IronXL, you can save or export data in different formats like XLS and XLSX, CSV data and TSV, JSON, XML and HTML, Binary and Byte Array. It also boasts strong workbook security features such as adding permissions & passwords and allows you to edit the workbook metadata.
To use IronXL in exporting data from DataTable to Excel file in C#, we need the following components to be installed on a local computer. Let's have a look at them one by one.
Visual Studio - Visual Studio is the IDE for C# programming and must be installed. You can download and install the latest version from Visual Studio website.
Once the IDE is set up, a Console application/Windows form needs to be created which will help to export DataTable to Excel. Following screenshots show how to create a project.
Now, choose your project type. In our example, we will be creating a Console App.
Name your project and choose the location it will be saved to.
Finally, choose your .NET Framework, and click "Create".
After clicking Create in the last screenshot, the project with the name "DemoApp" is created.
IronXL library - The IronXL library must be downloaded and installed in the Visual Studio project. There are multiple ways to do it.
Using Visual Studio - It provides the NuGet Package Manager to install IronXL. You can access it via the Tools menu or Solution Explorer. The following screenshots help to install IronXL. First, navigate to "Tools" in the top bar, or right-click within your solution explorer.
Go to Manage NuGet Packages for Solution, and search for IronXL. Then, you just have to press "Install" and the IronXL library will be added to your project.
Developer Command Prompt - Open the Developer Command Prompt either from the Visual Studio Tools menu or from the Visual Studio folder. Type the following command to download and install IronXL in your project:
PM > Install-Package IronXL.Excel
PM > Install-Package IronXL.Excel
Add Necessary Namespaces - To create DataTable and use IronXL, both should be referenced on top of the Program.cs file.
using IronXL; // Add reference to the IronXL library
using System.Data; // Add reference to System.Data for DataTable
using IronXL; // Add reference to the IronXL library
using System.Data; // Add reference to System.Data for DataTable
Imports IronXL ' Add reference to the IronXL library
Imports System.Data ' Add reference to System.Data for DataTable
Once all the prerequisites are fulfilled, it's time to export data from DataTable to Excel sheet.
The following code creates a new data table with two column headers and multiple rows:
// Create a new DataTable object
DataTable dt = new DataTable();
// Add column names to the DataTable
dt.Columns.Add("Animal");
dt.Columns.Add("Sound");
// Add rows representing different animals and their sounds
dt.Rows.Add("Lion", "Roars");
dt.Rows.Add("Dog", "Barks");
dt.Rows.Add("Cat", "Meows");
dt.Rows.Add("Goat", "Bleats");
dt.Rows.Add("Wolf", "Howls");
dt.Rows.Add("Cheetah", "Purrs");
// Create a new DataTable object
DataTable dt = new DataTable();
// Add column names to the DataTable
dt.Columns.Add("Animal");
dt.Columns.Add("Sound");
// Add rows representing different animals and their sounds
dt.Rows.Add("Lion", "Roars");
dt.Rows.Add("Dog", "Barks");
dt.Rows.Add("Cat", "Meows");
dt.Rows.Add("Goat", "Bleats");
dt.Rows.Add("Wolf", "Howls");
dt.Rows.Add("Cheetah", "Purrs");
' Create a new DataTable object
Dim dt As New DataTable()
' Add column names to the DataTable
dt.Columns.Add("Animal")
dt.Columns.Add("Sound")
' Add rows representing different animals and their sounds
dt.Rows.Add("Lion", "Roars")
dt.Rows.Add("Dog", "Barks")
dt.Rows.Add("Cat", "Meows")
dt.Rows.Add("Goat", "Bleats")
dt.Rows.Add("Wolf", "Howls")
dt.Rows.Add("Cheetah", "Purrs")
First, we create a new DataTable called "dt". Then, using Columns.Add, we can add a specified number of columns to the data table by name; in our example, we have two columns called "Animal" and "Sound". We then use Rows.Add to add new rows, placing the content for each row within the brackets. The content is separated by commas, separating each string by column.
When creating Excel file types from scratch using IronXL, it is a two-step process and very easy to implement in C#. IronXL first creates an Excel workbook and then helps add a worksheet to it. The following sample code demonstrates how to create a workbook along with the worksheet:
// Create a new workbook in XLSX format
WorkBook wb = WorkBook.Create(ExcelFileFormat.XLSX);
// Reference to the default worksheet in the workbook
WorkSheet ws = wb.DefaultWorkSheet;
// Create a new workbook in XLSX format
WorkBook wb = WorkBook.Create(ExcelFileFormat.XLSX);
// Reference to the default worksheet in the workbook
WorkSheet ws = wb.DefaultWorkSheet;
' Create a new workbook in XLSX format
Dim wb As WorkBook = WorkBook.Create(ExcelFileFormat.XLSX)
' Reference to the default worksheet in the workbook
Dim ws As WorkSheet = wb.DefaultWorkSheet
Utilizing IronXL to add values to a worksheet streamlines the entire process, with it being able to carry out this task with minimal code. Here we will learn to export data from the DataTable created in the previous section to the newly created Excel worksheet. Let's have a look at the code step by step.
// Assign DataTable column names to the first row of the Excel worksheet
ws["A1"].Value = dt.Columns[0].ToString();
ws["B1"].Value = dt.Columns[1].ToString();
// Start adding data from the second row
int rowCount = 2;
// Assign DataTable column names to the first row of the Excel worksheet
ws["A1"].Value = dt.Columns[0].ToString();
ws["B1"].Value = dt.Columns[1].ToString();
// Start adding data from the second row
int rowCount = 2;
' Assign DataTable column names to the first row of the Excel worksheet
ws("A1").Value = dt.Columns(0).ToString()
ws("B1").Value = dt.Columns(1).ToString()
' Start adding data from the second row
Dim rowCount As Integer = 2
In the above code, the Excel sheet column "A1" is assigned the value from the DataTable column 1 at index 0 and the next Excel column "B1" value is assigned from column 2 at index 1 in the DataTable. The rowCount variable is set to a value of 2 for reading rows from the DataTable starting from row two; this ensures we don't count the header row.
The following code will read each row from the DataTable and assign it to a new row in the Excel file:
// Iterate through each row in the DataTable and add to Excel worksheet
foreach (DataRow row in dt.Rows)
{
ws["A" + (rowCount)].Value = row[0].ToString();
ws["B" + (rowCount)].Value = row[1].ToString();
rowCount++;
}
// Iterate through each row in the DataTable and add to Excel worksheet
foreach (DataRow row in dt.Rows)
{
ws["A" + (rowCount)].Value = row[0].ToString();
ws["B" + (rowCount)].Value = row[1].ToString();
rowCount++;
}
' Iterate through each row in the DataTable and add to Excel worksheet
For Each row As DataRow In dt.Rows
ws("A" & (rowCount)).Value = row(0).ToString()
ws("B" & (rowCount)).Value = row(1).ToString()
rowCount += 1
Next row
The rowCount variable is incremented every time so that a new row is read from the DataTable to Excel worksheet cells in the above code.
Finally, save the Excel file using the SaveAs() method.
// Save the workbook to a file
wb.SaveAs("DataTable_to_Excel_IronXL.xlsx");
// Save the workbook to a file
wb.SaveAs("DataTable_to_Excel_IronXL.xlsx");
' Save the workbook to a file
wb.SaveAs("DataTable_to_Excel_IronXL.xlsx")
The file can be saved in other formats as well, e.g., CSV (Comma Separated Values), JSON, XML.
// Save the workbook in different file formats
wb.SaveAsCsv("DataTable_to_Excel_IronXL.csv");
wb.SaveAsJson("DataTable_to_Excel_IronXL.json");
wb.SaveAsXml("DataTable_to_Excel_IronXL.xml");
// Save the workbook in different file formats
wb.SaveAsCsv("DataTable_to_Excel_IronXL.csv");
wb.SaveAsJson("DataTable_to_Excel_IronXL.json");
wb.SaveAsXml("DataTable_to_Excel_IronXL.xml");
' Save the workbook in different file formats
wb.SaveAsCsv("DataTable_to_Excel_IronXL.csv")
wb.SaveAsJson("DataTable_to_Excel_IronXL.json")
wb.SaveAsXml("DataTable_to_Excel_IronXL.xml")
You can also save it with a custom delimiter.
The final output of the file looks like this:
In this article, we demonstrated how to create a DataTable with columns and rows in C#, followed by generating an Excel workbook with a default worksheet using IronXL. We then successfully exported the tabular data from the DataTable into an Excel file and saved it in the .xlsx format.
IronXL is a user-friendly C# library that allows developers to work with Excel files seamlessly, even without having MS Excel installed. It supports exporting data from various formats, such as CSV files, for further manipulation and calculation.
To learn more about IronXL and its robust feature set, be sure to check out its extensive documentation. Want to try it out for yourself? IronXL also provides a free trial with full access to all features, so you can start exploring how this powerful library can improve your spreadsheet projects right away!
The fastest way to export a DataTable to Excel in C# is by using the IronXL .NET Excel library. It allows you to create and manipulate Excel files without requiring Microsoft Office Interop.
To use IronXL, you need Visual Studio installed for creating a C# project and the IronXL library installed via NuGet Package Manager or Developer Command Prompt.
You can create a DataTable in C# by instantiating a new DataTable object and adding columns and rows using the Columns.Add and Rows.Add methods respectively.
You can export data by iterating through each row in the DataTable and assigning values to the corresponding cells in the Excel worksheet using IronXL methods.
Yes, IronXL can save Excel files in multiple formats such as CSV, JSON, XML, and it even supports saving with custom delimiters.
No, you do not need Microsoft Office installed. IronXL works without Microsoft Office Interop, making it easier to manage Excel files programmatically.
IronXL offers features like creating and editing Excel files, working with formulas, styling cells, and exporting data in various formats. It also provides strong security features like adding permissions and passwords.
You can save an Excel workbook using the SaveAs method, specifying the desired file format like XLSX, CSV, or JSON.
Yes, IronXL offers a free trial that provides full access to all features, allowing developers to explore its capabilities.
For more information, you can visit the IronXL documentation on their official website, which includes comprehensive guides and examples.