试试这个

public static DataTable ListToDataTable<T>(IList<T> lst)
{

    currentDT = CreateTable<T>();

    Type entType = typeof(T);

    PropertyDescriptorCollection properties = TypeDescriptor.GetProperties(entType);
    foreach (T item in lst)
    {
        DataRow row = currentDT.NewRow();
        foreach (PropertyDescriptor prop in properties)
        {

            if (prop.PropertyType == typeof(Nullable<decimal>) || prop.PropertyType == typeof(Nullable<int>) || prop.PropertyType == typeof(Nullable<Int64>))
            {
                if (prop.GetValue(item) == null)
                    row[prop.Name] = 0;
                else
                    row[prop.Name] = prop.GetValue(item);
            }
            else
                row[prop.Name] = prop.GetValue(item);                    

        }
        currentDT.Rows.Add(row);
    }

    return currentDT;
}

public static DataTable CreateTable<T>()
{
    Type entType = typeof(T);
    DataTable tbl = new DataTable(DTName);
    PropertyDescriptorCollection properties = TypeDescriptor.GetProperties(entType);
    foreach (PropertyDescriptor prop in properties)
    {
        if (prop.PropertyType == typeof(Nullable<decimal>))
             tbl.Columns.Add(prop.Name, typeof(decimal));
        else if (prop.PropertyType == typeof(Nullable<int>))
            tbl.Columns.Add(prop.Name, typeof(int));
        else if (prop.PropertyType == typeof(Nullable<Int64>))
            tbl.Columns.Add(prop.Name, typeof(Int64));
        else
             tbl.Columns.Add(prop.Name, prop.PropertyType);
    }
    return tbl;
}

将通用列表转换为数据表

使用Newtonsoft.Json;

public DataTable GenericToDataTable(IList<T> list)
{
    var json = JsonConvert.SerializeObject(list);
    DataTable dt = (DataTable)JsonConvert.DeserializeObject(json, (typeof(DataTable)));
    return dt;
}

要将泛型列表转换为数据表，可以使用DataTableGenerator

这个库允许您将列表转换为具有多种功能的数据表，如

翻译数据表头 指定要显示的列

对Marc的答案做了一个小更改，使其与List<string> to data table等值类型一起工作:

public static DataTable ListToDataTable<T>(IList<T> data)
{
    DataTable table = new DataTable();

    //special handling for value types and string
    if (typeof(T).IsValueType || typeof(T).Equals(typeof(string)))
    {

        DataColumn dc = new DataColumn("Value", typeof(T));
        table.Columns.Add(dc);
        foreach (T item in data)
        {
            DataRow dr = table.NewRow();
            dr[0] = item;
            table.Rows.Add(dr);
        }
    }
    else
    {
        PropertyDescriptorCollection properties = TypeDescriptor.GetProperties(typeof(T));
        foreach (PropertyDescriptor prop in properties)
        {
            table.Columns.Add(prop.Name, Nullable.GetUnderlyingType(prop.PropertyType) ?? prop.PropertyType);
        }
        foreach (T item in data)
        {
            DataRow row = table.NewRow();
            foreach (PropertyDescriptor prop in properties)
            {
                try
                {
                    row[prop.Name] = prop.GetValue(item) ?? DBNull.Value;
                }
                catch (Exception ex)
                {
                    row[prop.Name] = DBNull.Value;
                }
            }
            table.Rows.Add(row);
        }
    }
    return table;
}

我自己编写了一个小型库来完成这个任务。它只在将对象类型转换为数据表时第一次使用反射。它发出一个方法，该方法将完成转换对象类型的所有工作。

它燃烧得很快。你可以在这里找到它:

ToDataTable()在MoreLinq上的GitHub 原:ModelShredder在GoogleCode，被合并到MoreLinq，从GoogleCode移动到GitHub

  private DataTable CreateDataTable(IList<T> item)
        {
            Type type = typeof(T);
            var properties = type.GetProperties();

            DataTable dataTable = new DataTable();
            foreach (PropertyInfo info in properties)
            {
                dataTable.Columns.Add(new DataColumn(info.Name, Nullable.GetUnderlyingType(info.PropertyType) ?? info.PropertyType));
            }

            foreach (T entity in item)
            {
                object[] values = new object[properties.Length];
                for (int i = 0; i < properties.Length; i++)
                {
                    values[i] = properties[i].GetValue(entity);
                }

                dataTable.Rows.Add(values);
            }
            return dataTable;
        }