I have a datatable with dynamic set of columns and want to aggregate the numeric based columns and keep the final rows into new datatable.
DataTable Sample:-
PartnerName CreditCol DebitCol AmountCol ....
P1 10 20 30
P2 1 2 3
P3 3 1 10
P2 1 100 200
The desired output should be :-
PartnerName CreditCol DebitCol AmountCol ....
P1 10 20 30
P2 2 102 203
P3 3 1 10
The main thing here is the column set and will be dynamic. Sometime, there could be two columns and sometimes it could be 20 cols. Please suggest the linq query or any other solution.
Here is a dynamic approach that should work for your requirement:
var rows = table.AsEnumerable();
var columns = table.Columns.Cast<DataColumn>();
int i; // used to check if a string column can be parsed to int
string columnToGroup = "partnername";
DataColumn colToGroup = columns.First(c => c.ColumnName.Equals(columnToGroup, StringComparison.OrdinalIgnoreCase));
var colsToSum = columns
.Where(c => c != colToGroup &&
(c.DataType == typeof(int) ||
(c.DataType == typeof(string)
&& rows.All(r => int.TryParse(r.Field<string>(c), out i)))));
var columnsToSum = new HashSet<DataColumn>(colsToSum);
DataTable tblSum = table.Clone(); // empty table, same schema
foreach (var group in rows.GroupBy(r => r[colToGroup]))
{
DataRow row = tblSum.Rows.Add();
foreach(var col in columns)
{
if (columnsToSum.Contains(col))
{
int sum;
if (col.DataType == typeof(int))
sum = group.Sum(r => r.Field<int>(col));
else
sum = group.Sum(r => int.Parse(r.Field<string>(col)));
row.SetField(col.ColumnName, sum);
}
else
row[col.ColumnName] = group.First()[col];
}
}
Tested with your sample data here:
var table = new System.Data.DataTable();
table.Columns.Add("PartnerName", typeof(string));
table.Columns.Add("CreditCol", typeof(int));
table.Columns.Add("DebitCol", typeof(string));
table.Columns.Add("AmountCol", typeof(int));
table.Rows.Add("P1", 10, "20", 30);
table.Rows.Add("P2", 1, "2", 3);
table.Rows.Add("P3", 3, "1", 10);
table.Rows.Add("P2", 1, "100", 200);
Result:
PartnerName CreditCol DebitCol AmountCol
P1 10 20 30
P2 2 102 203
P3 3 1 10
来源：https://stackoverflow.com/questions/23537162/aggregate-datatable-with-dynamic-number-of-columns