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https://github.com/TinyCsvParser/TinyCsvParser

Easy to use, easy to extend and high-performance library for CSV parsing with .NET
https://github.com/TinyCsvParser/TinyCsvParser

csv-parser

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Easy to use, easy to extend and high-performance library for CSV parsing with .NET

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# TinyCsvParser #

[TinyCsvParser]: https://github.com/TinyCsvParser/TinyCsvParser
[MIT License]: https://opensource.org/licenses/MIT

[TinyCsvParser] is a .NET library to parse CSV data in an easy and *fun way*, while offering very high performance and a very clean API. It is highly configurable to provide maximum flexibility.

To get started quickly, follow the [Quickstart](https://tinycsvparser.github.io/TinyCsvParser/sections/quickstart.html).

[TinyCsvParser] supports .NET Core.

## Installing TinyCsvParser ##

You can use [NuGet](https://www.nuget.org) to install [TinyCsvParser]. Run the following command
in the [Package Manager Console](http://docs.nuget.org/consume/package-manager-console).

```powershell
PM> Install-Package TinyCsvParser
```

## Community Packages ##

[@Miista]: https://github.com/Miista

[@Miista] provides several community packages to simplify working with TinyCsvParser:

* [TinyCsvParser.Optional](https://github.com/Miista/TinyCsvParser.Optional)
* [TinyCsvParser.Collections](https://github.com/Miista/TinyCsvParser.Collections)
* [TinyCsvParser.ImmutableCollections](https://github.com/Miista/TinyCsvParser.ImmutableCollections)
* [TinyCsvParser.Enums]()

## Documentation and Changelog ##

[TinyCsvParser] comes with an official documentation and changelog:

* [https://tinycsvparser.github.io/TinyCsvParser/](https://tinycsvparser.github.io/TinyCsvParser/)

## Basic Usage ##

This is only an example for the most common use of TinyCsvParser. For more detailed information on custom formats and more advanced use-cases,
please consult the full [User Guide](https://tinycsvparser.github.io/TinyCsvParser/sections/userguide.html) of the official documentation.

Imagine we have list of Persons in a CSV file ``persons.csv`` with their first name, last name and birthdate.

```csv
FirstName;LastName;BirthDate
Philipp;Wagner;1986/05/12
Max;Musterman;2014/01/02
```

The corresponding domain model in our system might look like this.

```csharp
private class Person
{
public string FirstName { get; set; }

public string LastName { get; set; }

public DateTime BirthDate { get; set; }
}
```

When using [TinyCsvParser] you have to define the mapping between the columns in the CSV data and the property in you domain model.

```csharp
private class CsvPersonMapping : CsvMapping
{
public CsvPersonMapping()
: base()
{
MapProperty(0, x => x.FirstName);
MapProperty(1, x => x.LastName);
MapProperty(2, x => x.BirthDate);
}
}
```

And then we can use the mapping to parse the CSV data with a ``CsvParser``.

```csharp
namespace TinyCsvParser.Test
{
[TestFixture]
public class TinyCsvParserTest
{
[Test]
public void TinyCsvTest()
{
CsvParserOptions csvParserOptions = new CsvParserOptions(true, ';');
CsvPersonMapping csvMapper = new CsvPersonMapping();
CsvParser csvParser = new CsvParser(csvParserOptions, csvMapper);

var result = csvParser
.ReadFromFile(@"persons.csv", Encoding.ASCII)
.ToList();

Assert.AreEqual(2, result.Count);

Assert.IsTrue(result.All(x => x.IsValid));

Assert.AreEqual("Philipp", result[0].Result.FirstName);
Assert.AreEqual("Wagner", result[0].Result.LastName);

Assert.AreEqual(1986, result[0].Result.BirthDate.Year);
Assert.AreEqual(5, result[0].Result.BirthDate.Month);
Assert.AreEqual(12, result[0].Result.BirthDate.Day);

Assert.AreEqual("Max", result[1].Result.FirstName);
Assert.AreEqual("Mustermann", result[1].Result.LastName);

Assert.AreEqual(2014, result[1].Result.BirthDate.Year);
Assert.AreEqual(1, result[1].Result.BirthDate.Month);
Assert.AreEqual(1, result[1].Result.BirthDate.Day);
}
}
}
```

## License ##

The library is released under terms of the [MIT License]:

* [https://github.com/TinyCsvParser/TinyCsvParser](https://github.com/TinyCsvParser/TinyCsvParser)