让我们把你的优秀和最喜欢的扩展方法列一个列表。

要求是必须发布完整的代码,以及如何使用它的示例和解释。

基于对这个主题的高度兴趣,我在Codeplex上建立了一个名为extensionoverflow的开源项目。

请将您的回答标记为接受,以便将代码放入Codeplex项目。

请张贴完整的源代码,而不是一个链接。

Codeplex上新闻:

24.08.2010 Codeplex页面现在在这里:http://extensionoverflow.codeplex.com/

11.11.2008 XmlSerialize / XmlDeserialize现在是实现和单元测试。

11.11.2008仍有发展空间。;-)现在就加入!

11.11.2008第三位贡献者加入了ExtensionOverflow,欢迎加入BKristensen

11.11.2008 FormatWith现在是实现和单元测试。

09.11.2008第二个贡献者加入ExtensionOverflow。欢迎来到chakrit。

我们需要更多的开发人员。: -)

09.11.2008 ThrowIfArgumentIsNull现已在Codeplex上实现和单元测试。


当前回答

这是另一双我觉得用不完的鞋:

public static T ObjectWithMin<T, TResult>(this IEnumerable<T> sequence, Func<T, TResult> predicate)
    where T : class
    where TResult : IComparable
{
    if (!sequence.Any()) return null;

    //get the first object with its predicate value
    var seed = sequence.Select(x => new {Object = x, Value = predicate(x)}).FirstOrDefault();
    //compare against all others, replacing the accumulator with the lesser value
    //tie goes to first object found
    return
        sequence.Select(x => new {Object = x, Value = predicate(x)})
            .Aggregate(seed,(acc, x) => acc.Value.CompareTo(x.Value) <= 0 ? acc : x).Object;
}

public static T ObjectWithMax<T, TResult>(this IEnumerable<T> sequence, Func<T, TResult> predicate)
    where T : class
    where TResult : IComparable
{
    if (!sequence.Any()) return null;

    //get the first object with its predicate value
    var seed = sequence.Select(x => new {Object = x, Value = predicate(x)}).FirstOrDefault();
    //compare against all others, replacing the accumulator with the greater value
    //tie goes to last object found
    return
        sequence.Select(x => new {Object = x, Value = predicate(x)})
            .Aggregate(seed, (acc, x) => acc.Value.CompareTo(x.Value) > 0 ? acc : x).Object;
}

用法:

var myObject = myList.ObjectWithMin(x=>x.PropA);

这些方法基本上取代了像

var myObject = myList.OrderBy(x=>x.PropA).FirstOrDefault(); //O(nlog(n)) and unstable

and

var myObject = myList.Where(x=>x.PropA == myList.Min(x=>x.PropA)).FirstOrDefault(); //O(N^2) but stable

and

var minValue = myList.Min(x=>x.PropA);
var myObject = myList.Where(x=>x.PropA == minValue).FirstOrDefault(); //not a one-liner, and though linear and stable it's slower (evaluates the enumerable twice)

其他回答

将List转换为数据表

public static class DataTableConverter
{
    /// <summary>
    /// Convert a List{T} to a DataTable.
    /// </summary>
    public static DataTable ToDataTable<T>(this IList<T> items)
    {
        var tb = new DataTable(typeof(T).Name);

        PropertyInfo[] props = typeof(T).GetProperties(BindingFlags.Public | BindingFlags.Instance);

        foreach (PropertyInfo prop in props)
        {
            Type t = GetCoreType(prop.PropertyType);
            tb.Columns.Add(prop.Name, t);
        }

        foreach (T item in items)
        {
            var values = new object[props.Length];

            for (int i = 0; i < props.Length; i++)
            {
                values[i] = props[i].GetValue(item, null);
            }

            tb.Rows.Add(values);
        }

        return tb;
    }

    /// <summary>
    /// Determine of specified type is nullable
    /// </summary>
    public static bool IsNullable(Type t)
    {
        return !t.IsValueType || (t.IsGenericType && t.GetGenericTypeDefinition() == typeof(Nullable<>));
    }

    /// <summary>
    /// Return underlying type if type is Nullable otherwise return the type
    /// </summary>
    public static Type GetCoreType(Type t)
    {
        if (t != null && IsNullable(t))
        {
            if (!t.IsValueType)
            {
                return t;
            }
            else
            {
                return Nullable.GetUnderlyingType(t);
            }
        }
        else
        {
            return t;
        }
    }
}

用法:

    IList<MyClass> myClassList = new List<MyClass>();
    DataTable myClassDataTable = myClassList.ToDataTable();

扩展方法:

public static void AddRange<T, S>(this ICollection<T> list, params S[] values)
    where S : T
{
    foreach (S value in values)
        list.Add(value);
}

该方法适用于所有类型,并允许您将一系列项作为参数添加到列表中。

例子:

var list = new List<Int32>();
list.AddRange(5, 4, 8, 4, 2);

我很失望,. net框架更倾向于将文件和目录表示为字符串而不是对象,而且FileInfo和DirectoryInfo类型并不像我希望的那样强大。因此,我开始根据需要编写流畅的扩展方法,例如:

public static FileInfo SetExtension(this FileInfo fileInfo, string extension)
{
    return new FileInfo(Path.ChangeExtension(fileInfo.FullName, extension));
}

public static FileInfo SetDirectory(this FileInfo fileInfo, string directory)
{
    return new FileInfo(Path.Combine(directory, fileInfo.Name));
}

是的,你可以把这个放进codeplex

一些我最好的方法扩展(我有很多!):

public static T ToEnum<T>(this string str) where T : struct
{
    return (T)Enum.Parse(typeof(T), str);
}

//DayOfWeek sunday =  "Sunday".ToEnum<DayOfWeek>();

public static string ToString<T>(this IEnumerable<T> collection, string separator)
{
    return ToString(collection, t => t.ToString(), separator);
}

public static string ToString<T>(this IEnumerable<T> collection, Func<T, string> stringElement, string separator)
{
    StringBuilder sb = new StringBuilder();
    foreach (var item in collection)
    {
        sb.Append(stringElement(item));
        sb.Append(separator);
    }
    return sb.ToString(0, Math.Max(0, sb.Length - separator.Length));  // quita el ultimo separador
}

//new []{1,2,3}.ToString(i=>i*2, ", ")  --> "2, 4, 6"

此外,下一个意味着能够在几乎任何情况下继续在同一行中,而不是声明新变量然后删除状态:

public static R Map<T, R>(this T t, Func<T, R> func)
{
    return func(t);
}

ExpensiveFindWally().Map(wally=>wally.FirstName + " " + wally.LastName)

public static R TryCC<T, R>(this T t, Func<T, R> func)
    where T : class
    where R : class
{
    if (t == null) return null;
    return func(t);
}

public static R? TryCS<T, R>(this T t, Func<T, R> func)
    where T : class
    where R : struct
{
    if (t == null) return null;
    return func(t);
}

public static R? TryCS<T, R>(this T t, Func<T, R?> func)
    where T : class
    where R : struct
{
    if (t == null) return null;
    return func(t);
}

public static R TrySC<T, R>(this T? t, Func<T, R> func)
    where T : struct
    where R : class
{
    if (t == null) return null;
    return func(t.Value);
}

public static R? TrySS<T, R>(this T? t, Func<T, R> func)
    where T : struct
    where R : struct
{
    if (t == null) return null;
    return func(t.Value);
}

public static R? TrySS<T, R>(this T? t, Func<T, R?> func)
    where T : struct
    where R : struct
{
    if (t == null) return null;
    return func(t.Value);
}

//int? bossNameLength =  Departament.Boss.TryCC(b=>b.Name).TryCS(s=>s.Length);


public static T ThrowIfNullS<T>(this T? t, string mensaje)
    where T : struct
{
    if (t == null)
        throw new NullReferenceException(mensaje);
    return t.Value;
}

public static T ThrowIfNullC<T>(this T t, string mensaje)
    where T : class
{
    if (t == null)
        throw new NullReferenceException(mensaje);
    return t;
}

public static T Do<T>(this T t, Action<T> action)
{
    action(t);
    return t;
}

//Button b = new Button{Content = "Click"}.Do(b=>Canvas.SetColumn(b,2));

public static T TryDo<T>(this T t, Action<T> action) where T : class
{
    if (t != null)
        action(t);
    return t;
}

public static T? TryDoS<T>(this T? t, Action<T> action) where T : struct
{
    if (t != null)
        action(t.Value);
    return t;
}

希望它看起来不像来自火星:)

一些DataSet/DataRow扩展,使使用db结果更简单

只需在DataRow上使用. field ("fieldname"),如果可以,它将强制转换它,可选的默认值可以包括在内。

还有DataSet上的. hasrows(),这样你就不需要检查表和行的存在。

例子:

using (DataSet ds = yourcall()) 
{
  if (ds.HasRows())
  {
     foreach (DataRow dr in ds.Tables[0].Rows)
     {
        int id = dr.Field<int>("ID");
        string name = dr.Field<string>("Name");
        string Action = dr.Field<string>("Action", "N/A");
     }
  }
}

代码:

using System;
using System.Data;

public static class DataSetExtensions
{
    public static T Field<T>(this DataRow row, string columnName, T defaultValue)
    {
        try
        {
            return row.Field<T>(columnName);
        }
        catch
        {
            return defaultValue;
        }
    }

    public static T Field<T>(this DataRow row, string columnName)
    {
        if (row[columnName] == null)
            throw new NullReferenceException(columnName + " does not exist in DataRow");

        string value = row[columnName].ToString();

        if (typeof(T) == "".GetType())
        {
            return (T)Convert.ChangeType(value, typeof(T));
        }
        else if (typeof(T) == 0.GetType())
        {
            return (T)Convert.ChangeType(int.Parse(value), typeof(T));
        }
        else if (typeof(T) == false.GetType())
        {
            return (T)Convert.ChangeType(bool.Parse(value), typeof(T));
        }
        else if (typeof(T) == DateTime.Now.GetType())
        {
            return (T)Convert.ChangeType(DateTime.Parse(value), typeof(T));
        }
        else if (typeof(T) == new byte().GetType())
        {
            return (T)Convert.ChangeType(byte.Parse(value), typeof(T));
        }
        else if (typeof(T) == new float().GetType())
        {
            return (T)Convert.ChangeType(float.Parse(value), typeof(T));
        }
        else
        {
            throw new ArgumentException(string.Format("Cannot cast '{0}' to '{1}'.", value, typeof(T).ToString()));
        }
    }

    public static bool HasRows(this DataSet dataSet) 
    {
        return (dataSet.Tables.Count > 0 && dataSet.Tables[0].Rows.Count > 0);
    }
}