How to Export to CSV in .NET Core
1.0 Introduction
One of the most well-known libraries, IronXL, will be used in this article to contrast and compare different ways that .NET technologies can interface programmatically with Microsoft Excel documents. It will also build an environment for reading, writing, and exporting Excel spreadsheets to CSV files.
2.0 IronXL
The IronXL for .NET, a C# Excel library, can be used to read and convert Microsoft Excel documents to CSV files. IronXL is a stand-alone .NET software library that may be used without the installation of Microsoft Office or Microsoft.Office.Interop.Excel
. It can read a variety of spreadsheet formats.
Excel spreadsheets may be read, edited, and generated with ease in a .NET context thanks to IronXL's straightforward C# API. Xamarin, Linux, macOS, Azure, .NET Core, and .NET Framework are all fully supported by IronXL.
2.1 IronXL Library Features
- Among the greatest C# libraries for Excel spreadsheets is IronXL, which works with both .NET Core and .NET Framework.
- Virtually all .NET Frameworks are supported by IronXL, including console, Windows Forms, and Web Applications.
- Windows, macOS, and Linux are all compatible with IronXL.
- Excel files may be accessed quickly and easily using IronXL.
- Excel file formats like XLSX files, CSV files, XLS, XSLT, TSV, XLSM, and others, can be read by IronXL. Among many possibilities are functions for importing, updating, and exporting datasets and data tables.
- Calculations for the Excel spreadsheet can be generated by IronXL.
- For Excel columns, IronXL supports a wide range of data types, such as text, integers, dates, currencies, formulas, and percentages.
- Dates, currencies, percentages, text, numbers, formulas, and other Excel column data types are all supported by IronXL.
3.0 Creating a .NET Core 6 Project
You will see how easy it is to build a CSV file using the IronXL library in the following sections of this newsletter.
Step 1: Start a new project to generate a CSV file.
Open Visual Studio and choose "New Project" from the "File" menu.
Choose the "Console App" .NET Project templates from the ensuing dialogue box, then click "Next".
Create a new Console Application in Visual Studio
You can enter whatever name you want for the "Project name". Once the location of the new project has been provided in the "Location" section, click on the Next button to continue.
Configure the new project
The Framework drop-down menu can be used to choose a .NET Framework. In this case, the long-term supported version of .NET is 6.0. Next, click on the Create button.
.NET target framework selection
Install the IronXL library, as it is necessary for the subsequent resolution. Enter the following command into the Package Manager Console to accomplish this:
Install-Package IronXL.Excel
Install the IronXL package
An alternative is to search for the package "IronXL" using the NuGet Package Manager. Within the Browse tab, enter "IronXL" in the search box to search for the IronXL library. From this list of all the NuGet packages related to IronXL, then select the required package to download.
Search and install the IronXL package in NuGet Package Manager UI
4.0 Export data to CSV file
With IronXL, creating data tables to CSV files is simple and rapid. It facilitates writing data to a fresh CSV file. The first step is to include the IronXL namespace, as seen in the code screenshot below. Once IronXL is presented, then its classes and methods can be used in code.
Include the IronXL namespace
IronXL can be used to create Excel files, which are subsequently converted into WorkBook
objects. After they become objects from WorkBook
class, it is possible to work on them in several ways. By transforming a DataTable
into an Excel worksheet, the sample source code below creates an Excel file.
using IronXL;
using System.Data;
class Program
{
static void Main(string[] args)
{
ExportToExcel("test.csv");
}
// Method to export a DataTable to an Excel sheet which is then saved as a CSV file
public static void ExportToExcel(string filepath)
{
// Create a DataTable and add columns & rows
DataTable table = new DataTable();
table.Columns.Add("DataSet_Animals", typeof(string));
table.Rows.Add("Lion");
table.Rows.Add("Tiger");
table.Rows.Add("Leopard");
table.Rows.Add("Cheetah");
table.Rows.Add("Hyenas");
// Create a new workbook and get the default worksheet
var workbook = WorkBook.Create(ExcelFileFormat.XLS);
var worksheet = workbook.DefaultWorkSheet;
// Add table data to worksheet
int rowCount = 1;
foreach (DataRow row in table.Rows)
{
worksheet["A" + rowCount].Value = row[0].ToString();
rowCount++;
}
// Save worksheet data to a CSV file
workbook.SaveAsCsv(filepath, ";");
// Optionally convert workbook to a stream, useful for web applications
var stream = workbook.ToStream();
}
}
using IronXL;
using System.Data;
class Program
{
static void Main(string[] args)
{
ExportToExcel("test.csv");
}
// Method to export a DataTable to an Excel sheet which is then saved as a CSV file
public static void ExportToExcel(string filepath)
{
// Create a DataTable and add columns & rows
DataTable table = new DataTable();
table.Columns.Add("DataSet_Animals", typeof(string));
table.Rows.Add("Lion");
table.Rows.Add("Tiger");
table.Rows.Add("Leopard");
table.Rows.Add("Cheetah");
table.Rows.Add("Hyenas");
// Create a new workbook and get the default worksheet
var workbook = WorkBook.Create(ExcelFileFormat.XLS);
var worksheet = workbook.DefaultWorkSheet;
// Add table data to worksheet
int rowCount = 1;
foreach (DataRow row in table.Rows)
{
worksheet["A" + rowCount].Value = row[0].ToString();
rowCount++;
}
// Save worksheet data to a CSV file
workbook.SaveAsCsv(filepath, ";");
// Optionally convert workbook to a stream, useful for web applications
var stream = workbook.ToStream();
}
}
Imports IronXL
Imports System.Data
Friend Class Program
Shared Sub Main(ByVal args() As String)
ExportToExcel("test.csv")
End Sub
' Method to export a DataTable to an Excel sheet which is then saved as a CSV file
Public Shared Sub ExportToExcel(ByVal filepath As String)
' Create a DataTable and add columns & rows
Dim table As New DataTable()
table.Columns.Add("DataSet_Animals", GetType(String))
table.Rows.Add("Lion")
table.Rows.Add("Tiger")
table.Rows.Add("Leopard")
table.Rows.Add("Cheetah")
table.Rows.Add("Hyenas")
' Create a new workbook and get the default worksheet
Dim workbook = WorkBook.Create(ExcelFileFormat.XLS)
Dim worksheet = workbook.DefaultWorkSheet
' Add table data to worksheet
Dim rowCount As Integer = 1
For Each row As DataRow In table.Rows
worksheet("A" & rowCount).Value = row(0).ToString()
rowCount += 1
Next row
' Save worksheet data to a CSV file
workbook.SaveAsCsv(filepath, ";")
' Optionally convert workbook to a stream, useful for web applications
Dim stream = workbook.ToStream()
End Sub
End Class
The above CSV example shows how to export the DataTable
into a CSV file. After a DataTable
has been established, i.e., column headings are created, and once the first column is established, the rows are added one at a time. After adding the rows and columns to the DataTable
object, the WorkBook
object is constructed. The WorkBook
object is used to add data to an Excel sheet, which can then be saved elsewhere. The next step is to initiate the WorkSheet
object, which is linked to the workbook object.
Before adding the value to the worksheet, a foreach
loop is used to read each value from the DataTable
. The SaveAsCsv
function is used to save the data into a CSV file once they have all been put into the worksheet using the file name as a parameter. A delimiter can be used as an optional argument if it is required. The library then assists in writing data to a CSV file. There is another way to read CSV files besides Microsoft Excel using Notepad. Also, the method Save
is used to save the same into the given file format.
OUTPUT Excel file test.csv
Above is the output of the code sample that was run. Every piece of information from the data table has been separately added to the freshly created Excel sheet in the screenshot. Alternatively, it can also be converted into a stream as part of the Web Application to return files that can be downloaded from the client-side.
For more information on exporting data from DataTable to Excel, please check this tutorial page.
To know more about how to export data into Excel, please refer to this step-by-step tutorial.
5.0 Conclusion
IronXL is among the most widely used Excel utilities. It is not dependent on any other external libraries. It is self-contained and doesn't need Microsoft Excel installed. Furthermore, it functions through a variety of channels.
For all programmatically implemented Microsoft Excel document-related operations, IronXL offers a comprehensive solution. Calculating formulas, sorting strings or numbers, trimming, appending, finding and replacing, merging and unmerging, saving files, and more are all possible. Together with validating spreadsheet data, you can also establish cell data types. It facilitates working with Excel data and allows you to read and write files.
IronXL offers a free trial license, which allows users to try out and test all its amazing features for free.
At launch, IronXL is available for $749. Users can also opt to pay a one-year subscription fee to receive updates and product assistance. IronXL provides security for unrestricted redistribution for an extra charge. To look up more precise pricing data, please visit IronXL's license page.
Frequently Asked Questions
How can I export data to a CSV file using .NET Core?
You can export data to a CSV file in a .NET Core application by using IronXL. Start by setting up a new .NET Core project in Visual Studio, install IronXL via NuGet, and use its WorkBook
and WorkSheet
objects to save your data as a CSV file with the SaveAsCsv
method.
Is it possible to read and write Excel files without Microsoft Office?
Yes, IronXL allows you to read and write Excel files without requiring Microsoft Office or Microsoft.Office.Interop.Excel
. It provides a standalone solution for managing Excel spreadsheets within .NET applications.
What are the benefits of using IronXL for CSV exports in .NET Core?
IronXL provides a simple and efficient way to handle CSV exports in .NET Core. It supports multiple platforms, does not require Microsoft Office, and offers functionalities such as formula calculations, data sorting, and large dataset handling.
How do I install IronXL in a .NET Core project?
To install IronXL in a .NET Core project, you can use the Package Manager Console with the command Install-Package IronXL
or use the NuGet Package Manager UI in Visual Studio to search for and install 'IronXL'.
Can I use IronXL on platforms other than Windows?
Yes, IronXL is compatible with multiple platforms including Windows, macOS, and Linux. It also supports Xamarin, Azure, .NET Core, and .NET Framework applications, making it versatile for various environments.
How do you handle large datasets in Excel with IronXL?
IronXL can efficiently handle large datasets in Excel by leveraging its robust C# API. It allows for quick data manipulation, supports various Excel formats, and provides functionalities like sorting and validating data.
Does IronXL support Excel formula calculations?
Yes, IronXL supports Excel formula calculations. You can perform complex calculations on your spreadsheet data using IronXL's API, similar to how you would within Excel.
Are there licensing options available for IronXL?
IronXL offers a free trial license to test its features, as well as various licensing options for full functionality. This provides developers with flexibility in choosing the right plan for their needs.