用于winforms填充组合框:

List<MyObject> myObjects = new List<MyObject>() { 
    new MyObject() {Name = "a", Id = 0}, 
    new MyObject() {Name = "b", Id = 1}, 
    new MyObject() {Name = "c", Id = 2} }
comboBox.FillDataSource<MyObject>(myObjects, x => x.Name);

扩展方法:

/** <summary>Fills the System.Windows.Forms.ComboBox object DataSource with a 
 * list of T objects.</summary>
 * <param name="values">The list of T objects.</param>
 * <param name="displayedValue">A function to apply to each element to get the 
 * display value.</param>
 */
public static void FillDataSource<T>(this ComboBox comboBox, List<T> values,
    Func<T, String> displayedValue) {

    // Create dataTable
    DataTable data = new DataTable();
    data.Columns.Add("ValueMember", typeof(T));
    data.Columns.Add("DisplayMember");

    for (int i = 0; i < values.Count; i++) {
        // For each value/displayed value

        // Create new row with value & displayed value
        DataRow dr = data.NewRow();
        dr["ValueMember"] = values[i];
        dr["DisplayMember"] = displayedValue(values[i]) ?? "";
        // Add row to the dataTable
        data.Rows.Add(dr);
    }

    // Bind datasource to the comboBox
    comboBox.DataSource = data;
    comboBox.ValueMember = "ValueMember";
    comboBox.DisplayMember = "DisplayMember";
}

在ASP。我总是厌倦了使用FindControl，然后必须强制转换并检查引用之前的值是否为空。所以，我添加了一个TryParse()方法来控制，它反映了框架中类似的Int32等。

public static bool TryParse<T>(this Control control, string id, out T result) 
    where T : Control
{
    result = control.FindControl(id) as T;
    return result != null;
}

现在你可以在ASP中做这个。NET网页表单页面:

Label lbl;
if (Page.TryParse("Label1", out lbl))
{
    lbl.Text = "Safely set text";
}

您可以从Random类中获得许多功能。

下面是我经常使用的一些扩展方法。有了这些，除了Next和NextDouble, Random类还提供了NextBool, NextChar, NextDateTime, NextTimeSpan, NextDouble(接受minValue和maxValue参数)，以及我个人最喜欢的NextString。还有更多(NextByte, NextShort, NextLong等);但这些主要是为了完整性，并不经常使用。所以我没有在这里包含它们(这段代码已经足够长了!)。

// todo: implement additional CharType values (e.g., AsciiAny)
public enum CharType {
    AlphabeticLower,
    AlphabeticUpper,
    AlphabeticAny,
    AlphanumericLower,
    AlphanumericUpper,
    AlphanumericAny,
    Numeric
}

public static class RandomExtensions {
    // 10 digits vs. 52 alphabetic characters (upper & lower);
    // probability of being numeric: 10 / 62 = 0.1612903225806452
    private const double AlphanumericProbabilityNumericAny = 10.0 / 62.0;

    // 10 digits vs. 26 alphabetic characters (upper OR lower);
    // probability of being numeric: 10 / 36 = 0.2777777777777778
    private const double AlphanumericProbabilityNumericCased = 10.0 / 36.0;

    public static bool NextBool(this Random random, double probability) {
        return random.NextDouble() <= probability;
    }

    public static bool NextBool(this Random random) {
        return random.NextDouble() <= 0.5;
    }

    public static char NextChar(this Random random, CharType mode) {
        switch (mode) {
            case CharType.AlphabeticAny:
                return random.NextAlphabeticChar();
            case CharType.AlphabeticLower:
                return random.NextAlphabeticChar(false);
            case CharType.AlphabeticUpper:
                return random.NextAlphabeticChar(true);
            case CharType.AlphanumericAny:
                return random.NextAlphanumericChar();
            case CharType.AlphanumericLower:
                return random.NextAlphanumericChar(false);
            case CharType.AlphanumericUpper:
                return random.NextAlphanumericChar(true);
            case CharType.Numeric:
                return random.NextNumericChar();
            default:
                return random.NextAlphanumericChar();
        }
    }

    public static char NextChar(this Random random) {
        return random.NextChar(CharType.AlphanumericAny);
    }

    private static char NextAlphanumericChar(this Random random, bool uppercase) {
        bool numeric = random.NextBool(AlphanumericProbabilityNumericCased);

        if (numeric)
            return random.NextNumericChar();
        else
            return random.NextAlphabeticChar(uppercase);
    }

    private static char NextAlphanumericChar(this Random random) {
        bool numeric = random.NextBool(AlphanumericProbabilityNumericAny);

        if (numeric)
            return random.NextNumericChar();
        else
            return random.NextAlphabeticChar(random.NextBool());
    }

    private static char NextAlphabeticChar(this Random random, bool uppercase) {
        if (uppercase)
            return (char)random.Next(65, 91);
        else
            return (char)random.Next(97, 123);
    }

    private static char NextAlphabeticChar(this Random random) {
        return random.NextAlphabeticChar(random.NextBool());
    }

    private static char NextNumericChar(this Random random) {
        return (char)random.Next(48, 58);
    }

    public static DateTime NextDateTime(this Random random, DateTime minValue, DateTime maxValue) {
        return DateTime.FromOADate(
            random.NextDouble(minValue.ToOADate(), maxValue.ToOADate())
        );
    }

    public static DateTime NextDateTime(this Random random) {
        return random.NextDateTime(DateTime.MinValue, DateTime.MaxValue);
    }

    public static double NextDouble(this Random random, double minValue, double maxValue) {
        if (maxValue < minValue)
            throw new ArgumentException("Minimum value must be less than maximum value.");

        double difference = maxValue - minValue;
        if (!double.IsInfinity(difference))
            return minValue + (random.NextDouble() * difference);

        else {
            // to avoid evaluating to Double.Infinity, we split the range into two halves:
            double halfDifference = (maxValue * 0.5) - (minValue * 0.5);

            // 50/50 chance of returning a value from the first or second half of the range
            if (random.NextBool())
                return minValue + (random.NextDouble() * halfDifference);
            else
                return (minValue + halfDifference) + (random.NextDouble() * halfDifference);
        }
    }

    public static string NextString(this Random random, int numChars, CharType mode) {
        char[] chars = new char[numChars];

        for (int i = 0; i < numChars; ++i)
            chars[i] = random.NextChar(mode);

        return new string(chars);
    }

    public static string NextString(this Random random, int numChars) {
        return random.NextString(numChars, CharType.AlphanumericAny);
    }

    public static TimeSpan NextTimeSpan(this Random random, TimeSpan minValue, TimeSpan maxValue) {
        return TimeSpan.FromMilliseconds(
            random.NextDouble(minValue.TotalMilliseconds, maxValue.TotalMilliseconds)
        );
    }

    public static TimeSpan NextTimeSpan(this Random random) {
        return random.NextTimeSpan(TimeSpan.MinValue, TimeSpan.MaxValue);
    }
}

我在我的Silverlight项目中使用这些:

public static void Show(this UIElement element)
{
    element.Visibility = Visibility.Visible;
}

public static void Hide(this UIElement element)
{
    element.Visibility = Visibility.Collapsed;
}

无论如何，把它放在codeplex项目中。

将对象序列化/反序列化为XML:

/// <summary>Serializes an object of type T in to an xml string</summary>
/// <typeparam name="T">Any class type</typeparam>
/// <param name="obj">Object to serialize</param>
/// <returns>A string that represents Xml, empty otherwise</returns>
public static string XmlSerialize<T>(this T obj) where T : class, new()
{
    if (obj == null) throw new ArgumentNullException("obj");

    var serializer = new XmlSerializer(typeof(T));
    using (var writer = new StringWriter())
    {
        serializer.Serialize(writer, obj);
        return writer.ToString();
    }
}

/// <summary>Deserializes an xml string in to an object of Type T</summary>
/// <typeparam name="T">Any class type</typeparam>
/// <param name="xml">Xml as string to deserialize from</param>
/// <returns>A new object of type T is successful, null if failed</returns>
public static T XmlDeserialize<T>(this string xml) where T : class, new()
{
    if (xml == null) throw new ArgumentNullException("xml");

    var serializer = new XmlSerializer(typeof(T));
    using (var reader = new StringReader(xml))
    {
        try { return (T)serializer.Deserialize(reader); }
        catch { return null; } // Could not be deserialized to this type.
    }
}

gitorious.org/cadenza是我所见过的一些最有用的扩展方法的完整库。