DataTable: Class library for working with tabular data, especially CSV files

##C# project for reading and writing CSVs

Fast streaming CSV parser. Libraries for easy reading, writing, and manipulation of CSV files. Is able to handle:

CSV file format corner cases including escaped values, newlines, and error recovery
Linq and binding CSV rows directly to .NET objects
Creating tables from IEnumerable<T>
In-memory mutable tables
Streaming through large tables.
Dictionaries
2D-Dictionary support and converting to CSVs. Great for sparse-arrays.

It's an easier data table than System.Data.DataTable.

The following nuget packages are available:

CsvTools - the base library
CsvTools.Excel - dependency on CsvTools and the OpenXml SDK

A few quick examples:

Download as CsvTools from Nuget to include in your C# project:

using DataAccess;
// See methods on DataTable.New for loading a DataTable.
var dt = DataTable.New.ReadLazy(filename); // Fast streaming load a CSV from disk.

Get a mutable datatable:

MutableDataTable dt = DataTable.New.ReadCsv(filename); // load entire CSV into memory for mutation 
int totalRows = dt.NumRows;

// Includes mutation methods like:
//  CreateColumn, ReorderColumn, KeepColumns, RenameColumn, 
//  GetRow(int rowIndex), KeepRows(Func<T, bool> predicate)

dt.SaveCsv(filename); // write back out

Linq against the rows:

var y = from row in dt.Rows where row["N"] == "3" select row["NSquared"];

Linq with strongly-typed parsing, using RowAs<T>() method:

class Entry
{
  public int N { get; set; }
  public int NSquared { get; set; }
}
int y = (from row in dt.RowsAs<Entry>() where row.N == 3 select row.NSquared).First();

Create a table around an IEnumerable and then save back as a CSV:

var x = from i in Enumerable.Range(1, 5) select new { N = i, NSquared = i * i };
DataTable dt = DataTable.New.FromEnumerable(x);
dt.SaveToStream(Console.Out); // write back out as a CSV

Also includes support for reading an excel file (.xlsx):

var dt = DataTable.New.ReadExcel(@"c:\temp\foo.xlsx");
var names = from row in dt.Rows where int.Parse(row["age"]) > 10 select row["Name"];

See here for more about reading excel.

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