如果任何人想要一个代码片段，他们可以直接输入自己的代码，而不必绑定库或下载包。以下是我写的一个版本:

    public static string FormatCSV(List<string> parts)
    {
        string result = "";

        foreach (string s in parts)
        {
            if (result.Length > 0)
            {
                result += ",";

                if (s.Length == 0)
                    continue;
            }

            if (s.Length > 0)
            {
                result += "\"" + s.Replace("\"", "\"\"") + "\"";
            }
            else
            {
                // cannot output double quotes since its considered an escape for a quote
                result += ",";
            }
        }

        return result;
    }

    enum CSVMode
    {
        CLOSED = 0,
        OPENED_RAW = 1,
        OPENED_QUOTE = 2
    }

    public static List<string> ParseCSV(string input)
    {
        List<string> results;

        CSVMode mode;

        char[] letters;

        string content;


        mode = CSVMode.CLOSED;

        content = "";
        results = new List<string>();
        letters = input.ToCharArray();

        for (int i = 0; i < letters.Length; i++)
        {
            char letter = letters[i];
            char nextLetter = '\0';

            if (i < letters.Length - 1)
                nextLetter = letters[i + 1];

            // If its a quote character
            if (letter == '"')
            {
                // If that next letter is a quote
                if (nextLetter == '"' && mode == CSVMode.OPENED_QUOTE)
                {
                    // Then this quote is escaped and should be added to the content

                    content += letter;

                    // Skip the escape character
                    i++;
                    continue;
                }
                else
                {
                    // otherwise its not an escaped quote and is an opening or closing one
                    // Character is skipped

                    // If it was open, then close it
                    if (mode == CSVMode.OPENED_QUOTE)
                    {
                        results.Add(content);

                        // reset the content
                        content = "";

                        mode = CSVMode.CLOSED;

                        // If there is a next letter available
                        if (nextLetter != '\0')
                        {
                            // If it is a comma
                            if (nextLetter == ',')
                            {
                                i++;
                                continue;
                            }
                            else
                            {
                                throw new Exception("Expected comma. Found: " + nextLetter);
                            }
                        }
                    }
                    else if (mode == CSVMode.OPENED_RAW)
                    {
                        // If it was opened raw, then just add the quote 
                        content += letter;
                    }
                    else if (mode == CSVMode.CLOSED)
                    {
                        // Otherwise open it as a quote 

                        mode = CSVMode.OPENED_QUOTE;
                    }
                }
            }
            // If its a comma seperator
            else if (letter == ',')
            {
                // If in quote mode
                if (mode == CSVMode.OPENED_QUOTE)
                {
                    // Just read it
                    content += letter;
                }
                // If raw, then close the content
                else if (mode == CSVMode.OPENED_RAW)
                {
                    results.Add(content);

                    content = "";

                    mode = CSVMode.CLOSED;
                }
                // If it was closed, then open it raw
                else if (mode == CSVMode.CLOSED)
                {
                    mode = CSVMode.OPENED_RAW;

                    results.Add(content);

                    content = "";
                }
            }
            else
            {
                // If opened quote, just read it
                if (mode == CSVMode.OPENED_QUOTE)
                {
                    content += letter;
                }
                // If opened raw, then read it
                else if (mode == CSVMode.OPENED_RAW)
                {
                    content += letter;
                }
                // It closed, then open raw
                else if (mode == CSVMode.CLOSED)
                {
                    mode = CSVMode.OPENED_RAW;

                    content += letter;
                }
            }
        }

        // If it was still reading when the buffer finished
        if (mode != CSVMode.CLOSED)
        {
            results.Add(content);
        }

        return results;
    }

CsvHelper(我维护的一个库)将把CSV文件读入自定义对象。

using (var reader = new StreamReader("path\\to\\file.csv"))
using (var csv = new CsvReader(reader, CultureInfo.InvariantCulture))
{
    var records = csv.GetRecords<Foo>();
}

有时候你并不拥有你想读的对象。在这种情况下，您可以使用流畅映射，因为您不能将属性放在类上。

public sealed class MyCustomObjectMap : CsvClassMap<MyCustomObject>
{
    public MyCustomObjectMap()
    {
        Map( m => m.Property1 ).Name( "Column Name" );
        Map( m => m.Property2 ).Index( 4 );
        Map( m => m.Property3 ).Ignore();
        Map( m => m.Property4 ).TypeConverter<MySpecialTypeConverter>();
    }
}

我已经为。net编写了TinyCsvParser，它是目前最快的。net解析器之一，并且高度可配置，可以解析几乎任何CSV格式。

它在MIT许可下发布:

https://github.com/bytefish/TinyCsvParser

你可以使用NuGet来安装它。在包管理器控制台中运行以下命令。

PM> Install-Package TinyCsvParser

使用

假设我们在CSV文件Persons . CSV中有一个person列表，包含他们的名字、姓氏和生日。

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

系统中相应的域模型可能是这样的。

private class Person
{
    public string FirstName { get; set; }
    public string LastName { get; set; }
    public DateTime BirthDate { get; set; }
}

当使用TinyCsvParser时，您必须定义CSV数据中的列和域模型中的属性之间的映射。

private class CsvPersonMapping : CsvMapping<Person>
{

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

然后，我们可以使用映射使用CsvParser解析CSV数据。

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

用户指南

完整的用户指南可在以下网址查阅:

http://bytefish.github.io/TinyCsvParser/

这里有一个我经常使用的helper类，以防有人回到这个线程(我想分享它)。

我这样做是为了简单地将它移植到可以使用的项目中:

public class CSVHelper : List<string[]>
{
  protected string csv = string.Empty;
  protected string separator = ",";

  public CSVHelper(string csv, string separator = "\",\"")
  {
    this.csv = csv;
    this.separator = separator;

    foreach (string line in Regex.Split(csv, System.Environment.NewLine).ToList().Where(s => !string.IsNullOrEmpty(s)))
    {
      string[] values = Regex.Split(line, separator);

      for (int i = 0; i < values.Length; i++)
      {
        //Trim values
        values[i] = values[i].Trim('\"');
      }

      this.Add(values);
    }
  }
}

像这样使用它:

public List<Person> GetPeople(string csvContent)
{
  List<Person> people = new List<Person>();
  CSVHelper csv = new CSVHelper(csvContent);
  foreach(string[] line in csv)
  {
    Person person = new Person();
    person.Name = line[0];
    person.TelephoneNo = line[1];
    people.Add(person);
  }
  return people;
}

[更新的csv helper:修复了最后一个新行字符创建新行的错误]

在商业应用中，我使用codeproject.com上的开源项目，CSVReader。

它工作良好，具有良好的性能。我提供的链接上有一些基准测试。

一个简单的例子，从项目页面复制:

using (CsvReader csv = new CsvReader(new StreamReader("data.csv"), true))
{
    int fieldCount = csv.FieldCount;
    string[] headers = csv.GetFieldHeaders();

    while (csv.ReadNextRecord())
    {
        for (int i = 0; i < fieldCount; i++)
            Console.Write(string.Format("{0} = {1};", headers[i], csv[i]));

        Console.WriteLine();
    }
}

如你所见，这很容易处理。

这段代码读取csv到DataTable:

public static DataTable ReadCsv(string path)
{
    DataTable result = new DataTable("SomeData");
    using (TextFieldParser parser = new TextFieldParser(path))
    {
        parser.TextFieldType = FieldType.Delimited;
        parser.SetDelimiters(",");
        bool isFirstRow = true;
        //IList<string> headers = new List<string>();

        while (!parser.EndOfData)
        {
            string[] fields = parser.ReadFields();
            if (isFirstRow)
            {
                foreach (string field in fields)
                {
                    result.Columns.Add(new DataColumn(field, typeof(string)));
                }
                isFirstRow = false;
            }
            else
            {
                int i = 0;
                DataRow row = result.NewRow();
                foreach (string field in fields)
                {
                    row[i++] = field;
                }
                result.Rows.Add(row);
            }
        }
    }
    return result;
}