我正在读取*.csv文件。

*.csv-file由分号(";")分隔的两列组成。

我能够阅读*.csv文件使用StreamReader,并能够通过使用Split()函数分离每一行。我想将每一列存储到一个单独的数组中,然后显示它。

有可能做到吗?


当前回答

看看这个

使用CsvFramework;

使用System.Collections.Generic;

命名空间 CvsParser {

public class Customer
{
    public int Id { get; set; }
    public string Name { get; set; }
    public List<Order> Orders { get; set; }        
}

public class Order
{
    public int Id { get; set; }

    public int CustomerId { get; set; }
    public int Quantity { get; set; }

    public int Amount { get; set; }

    public List<OrderItem> OrderItems { get; set; }

}

public class Address
{
    public int Id { get; set; }
    public int CustomerId { get; set; }

    public string Name { get; set; }
}

public class OrderItem
{
    public int Id { get; set; }
    public int OrderId { get; set; }

    public string ProductName { get; set; }
}

class Program
{
    static void Main(string[] args)
    {

        var customerLines = System.IO.File.ReadAllLines(@"Customers.csv");
        var orderLines = System.IO.File.ReadAllLines(@"Orders.csv");
        var orderItemLines = System.IO.File.ReadAllLines(@"OrderItemLines.csv");

        CsvFactory.Register<Customer>(builder =>
        {
            builder.Add(a => a.Id).Type(typeof(int)).Index(0).IsKey(true);
            builder.Add(a => a.Name).Type(typeof(string)).Index(1);
            builder.AddNavigation(n => n.Orders).RelationKey<Order, int>(k => k.CustomerId);

        }, false, ',', customerLines);

        CsvFactory.Register<Order>(builder =>
        {
            builder.Add(a => a.Id).Type(typeof(int)).Index(0).IsKey(true);
            builder.Add(a => a.CustomerId).Type(typeof(int)).Index(1);
            builder.Add(a => a.Quantity).Type(typeof(int)).Index(2);
            builder.Add(a => a.Amount).Type(typeof(int)).Index(3);
            builder.AddNavigation(n => n.OrderItems).RelationKey<OrderItem, int>(k => k.OrderId);

        }, true, ',', orderLines);


        CsvFactory.Register<OrderItem>(builder =>
        {
            builder.Add(a => a.Id).Type(typeof(int)).Index(0).IsKey(true);
            builder.Add(a => a.OrderId).Type(typeof(int)).Index(1);
            builder.Add(a => a.ProductName).Type(typeof(string)).Index(2);


        }, false, ',', orderItemLines);



        var customers = CsvFactory.Parse<Customer>();


    }
}

}

其他回答

你可以这样做:

using System.IO;

static void Main(string[] args)
{
    using(var reader = new StreamReader(@"C:\test.csv"))
    {
        List<string> listA = new List<string>();
        List<string> listB = new List<string>();
        while (!reader.EndOfStream)
        {
            var line = reader.ReadLine();
            var values = line.Split(';');

            listA.Add(values[0]);
            listB.Add(values[1]);
        }
    }
}
var firstColumn = new List<string>();
var lastColumn = new List<string>();

// your code for reading CSV file

foreach(var line in file)
{
    var array = line.Split(';');
    firstColumn.Add(array[0]);
    lastColumn.Add(array[1]);
}

var firstArray = firstColumn.ToArray();
var lastArray = lastColumn.ToArray();

我最喜欢的CSV解析器是内置于. net库中的。这是微软内部隐藏的宝藏。VisualBasic名称空间。 下面是一个示例代码:

using Microsoft.VisualBasic.FileIO;

var path = @"C:\Person.csv"; // Habeeb, "Dubai Media City, Dubai"
using (TextFieldParser csvParser = new TextFieldParser(path))
{
 csvParser.CommentTokens = new string[] { "#" };
 csvParser.SetDelimiters(new string[] { "," });
 csvParser.HasFieldsEnclosedInQuotes = true;

 // Skip the row with the column names
 csvParser.ReadLine();

 while (!csvParser.EndOfData)
 {
  // Read current line fields, pointer moves to the next line.
  string[] fields = csvParser.ReadFields();
  string Name = fields[0];
  string Address = fields[1];
 }
}

记得添加对微软的引用。VisualBasic

关于解析器的更多细节请参见:http://codeskaters.blogspot.ae/2015/11/c-easiest-csv-parser-built-in-net.html

开源的Angara。表库允许将CSV加载到类型化列中,因此您可以从列中获取数组。每个列都可以按名称或索引进行索引。见http://predictionmachines.github.io/Angara.Table/saveload.html。

该库遵循RFC4180 for CSV;它支持类型推断和多行字符串。

例子:

using System.Collections.Immutable;
using Angara.Data;
using Angara.Data.DelimitedFile;

...

ReadSettings settings = new ReadSettings(Delimiter.Semicolon, false, true, null, null);
Table table = Table.Load("data.csv", settings);
ImmutableArray<double> a = table["double-column-name"].Rows.AsReal;

for(int i = 0; i < a.Length; i++)
{
    Console.WriteLine("{0}: {1}", i, a[i]);
}

您可以使用类型column来查看列类型,例如。

Column c = table["double-column-name"];
Console.WriteLine("Column {0} is double: {1}", c.Name, c.Rows.IsRealColumn);

因为这个库的重点是f#,你可能需要添加一个对FSharp的引用。Core 4.4总成;在项目中单击“添加引用”,并选择FSharp。“程序集”下的核心4.4 ->“扩展”。

看看这个

使用CsvFramework;

使用System.Collections.Generic;

命名空间 CvsParser {

public class Customer
{
    public int Id { get; set; }
    public string Name { get; set; }
    public List<Order> Orders { get; set; }        
}

public class Order
{
    public int Id { get; set; }

    public int CustomerId { get; set; }
    public int Quantity { get; set; }

    public int Amount { get; set; }

    public List<OrderItem> OrderItems { get; set; }

}

public class Address
{
    public int Id { get; set; }
    public int CustomerId { get; set; }

    public string Name { get; set; }
}

public class OrderItem
{
    public int Id { get; set; }
    public int OrderId { get; set; }

    public string ProductName { get; set; }
}

class Program
{
    static void Main(string[] args)
    {

        var customerLines = System.IO.File.ReadAllLines(@"Customers.csv");
        var orderLines = System.IO.File.ReadAllLines(@"Orders.csv");
        var orderItemLines = System.IO.File.ReadAllLines(@"OrderItemLines.csv");

        CsvFactory.Register<Customer>(builder =>
        {
            builder.Add(a => a.Id).Type(typeof(int)).Index(0).IsKey(true);
            builder.Add(a => a.Name).Type(typeof(string)).Index(1);
            builder.AddNavigation(n => n.Orders).RelationKey<Order, int>(k => k.CustomerId);

        }, false, ',', customerLines);

        CsvFactory.Register<Order>(builder =>
        {
            builder.Add(a => a.Id).Type(typeof(int)).Index(0).IsKey(true);
            builder.Add(a => a.CustomerId).Type(typeof(int)).Index(1);
            builder.Add(a => a.Quantity).Type(typeof(int)).Index(2);
            builder.Add(a => a.Amount).Type(typeof(int)).Index(3);
            builder.AddNavigation(n => n.OrderItems).RelationKey<OrderItem, int>(k => k.OrderId);

        }, true, ',', orderLines);


        CsvFactory.Register<OrderItem>(builder =>
        {
            builder.Add(a => a.Id).Type(typeof(int)).Index(0).IsKey(true);
            builder.Add(a => a.OrderId).Type(typeof(int)).Index(1);
            builder.Add(a => a.ProductName).Type(typeof(string)).Index(2);


        }, false, ',', orderItemLines);



        var customers = CsvFactory.Parse<Customer>();


    }
}

}