将n行3列的数据dataTable装换成m行7列的dataTable

//思路：新建dataTable,定义需要的列， 先将数据源进行分组，第一重遍历获取所有组，第二重遍历获取某一个组的具体数据
public void DataBind()
        {
            DateTime time;
            if (string.IsNullOrEmpty(txtDate.Value.Trim()) || !DateTime.TryParse(txtDate.Value.Trim() + "-01", out time))
            {
                //如果时间为空，则查询当月
                 this.txtDate.Value = DateTime.Now.ToString("yyyy-MM");
            }
            //获取各部门对于各物流公司的费用统计
            DataTable AllData = CurrentBll.GetLogisticsCompanyExpensesDt(this.txtDate.Value.Trim());

            var data = from item in AllData.AsEnumerable()
                       group item by item["DeptCode"].DBValueToString();
            //各部门数据
            DataTable table = new DataTable();
            table.Columns.Add(new DataColumn() { DataType = typeof(string), ColumnName = "DeptCode" });
            table.Columns.Add(new DataColumn() { DataType = typeof(string), ColumnName = "shunfeng" });
            table.Columns.Add(new DataColumn() { DataType = typeof(string), ColumnName = "zaiji" });
            table.Columns.Add(new DataColumn() { DataType = typeof(string), ColumnName = "quanyi" });
            table.Columns.Add(new DataColumn() { DataType = typeof(string), ColumnName = "cces" });
            table.Columns.Add(new DataColumn() { DataType = typeof(string), ColumnName = "quanfeng" });
            table.Columns.Add(new DataColumn() { DataType = typeof(string), ColumnName = "ems" });
            table.Columns.Add(new DataColumn() { DataType = typeof(string), ColumnName = "shengtong" });
            table.Columns.Add(new DataColumn() { DataType = typeof(string), ColumnName = "sum" });

            foreach (IGrouping<string, DataRow> group in data)
            {
                DataRow row = table.NewRow();
                row["DeptCode"] = group.Key;
                foreach (var temp in group)
                {
                    string cost = temp["Cost"].DBValueToString();
                  switch ( temp["DeliveryType"].DBValueToInt32() )
                  {
                      case CourierDeliveryType.SF: row["shunfeng"] = cost;
                          break;
                      case CourierDeliveryType.ZJS: row["zaiji"] = cost;
                          break;
                      case CourierDeliveryType.QY: row["quanyi"] = cost;
                          break;
                      case CourierDeliveryType.CCES: row["cces"] = cost;
                          break;
                      case CourierDeliveryType.QF: row["quanfeng"] = cost;
                          break;
                      case CourierDeliveryType.EMS: row["ems"] = cost;
                          break;
                      case CourierDeliveryType.ST: row["shengtong"] = cost;
                          break;
                  };
                }
                //统计该行的所有数据
                row["sum"] = group.Sum(p => p["Cost"].DBValueToDecimal()).ToString();
                table.Rows.Add(row);
            }

            //合计信息
            DataTable CountTable = table.Clone();
            var count = from item in AllData.AsEnumerable()
                        group item by item["DeliveryType"].DBValueToInt32();
            DataRow countRow = CountTable.NewRow();
            //统计统计
            countRow["sum"] = count.Sum(p => p.Sum(l => l["Cost"].DBValueToDecimal())).ToString();

            foreach (IGrouping<int, DataRow> group in count)
            {
                    switch (group.Key.DBValueToInt32())
                    {
                        case CourierDeliveryType.SF: countRow["shunfeng"] = group.Sum(p => p["Cost"].DBValueToDecimal()).ToString();
                            break;
                        case CourierDeliveryType.ZJS: countRow["zaiji"] = group.Sum(p => p["Cost"].DBValueToDecimal()).ToString();
                            break;
                        case CourierDeliveryType.QY: countRow["quanyi"] = group.Sum(p => p["Cost"].DBValueToDecimal()).ToString();
                            break;
                        case CourierDeliveryType.CCES: countRow["cces"] = group.Sum(p => p["Cost"].DBValueToDecimal()).ToString();
                            break;
                        case CourierDeliveryType.QF: countRow["quanfeng"] = group.Sum(p => p["Cost"].DBValueToDecimal()).ToString();
                            break;
                        case CourierDeliveryType.EMS: countRow["ems"] = group.Sum(p => p["Cost"].DBValueToDecimal()).ToString();
                            break;
                        case CourierDeliveryType.ST: countRow["shengtong"] = group.Sum(p => p["Cost"].DBValueToDecimal()).ToString();
                            break;
                    };
            }
            CountTable.Rows.Add(countRow);
            this.rptLogisticsCompanyExpenses.DataSource = table;
            this.rptLogisticsCompanyExpenses.DataBind();
            this.rptSum.DataSource = CountTable;
            this.rptSum.DataBind();
        }