private double CellValue(DataRow[] rows, PivotFunc _func)
{
switch (_func.funcname)
{
case PivotFuncName.Count:
return(rows.Count());
case PivotFuncName.Sum:
return(rows.Sum(r => Convert.ToDouble(r[_func.PivotFuncColumnName].ToString())));
case PivotFuncName.Avg:
return(rows.Average(r => Convert.ToDouble(r[_func.PivotFuncColumnName].ToString())));
case PivotFuncName.Max:
return(rows.Max(r => Convert.ToDouble(r[_func.PivotFuncColumnName].ToString())));
case PivotFuncName.Min:
return(rows.Min(r => Convert.ToDouble(r[_func.PivotFuncColumnName].ToString())));
default:
return(0);
}
}
public DataTable GetPivotDataTable(DataTable Source_Tbl, string columnX, List <string> columnY_List, PivotFunc func = null, bool X_axis_asc = true, bool y_axis_asc = true)
{
PivotFunc _pivotfunc = (func == null) ? new PivotFunc()
{
funcname = PivotFuncName.Count
} : func;
//DataTable Source_Tbl_populated = new DataTable();
if (_pivotfunc.funcname != PivotFuncName.Count)
{
//populate calculate column value
foreach (DataRow row in Source_Tbl.Rows)
{
if (double.TryParse(row[_pivotfunc.PivotFuncColumnName].ToString(), out double result))
{
row[_pivotfunc.PivotFuncColumnName] = Double.Parse(row[_pivotfunc.PivotFuncColumnName].ToString());
}
else
{
row[_pivotfunc.PivotFuncColumnName] = 0;
}
}
}
DataTable Result = new DataTable();
List <KeyValuePair <string, List <string> > > Y_axis_Pairs = new List <KeyValuePair <string, List <string> > >();
//add distinct value into two keyvaluepair
columnY_List.ForEach(y => Y_axis_Pairs.Add(new KeyValuePair <string, List <string> >(key: y, value: Source_Tbl.AsEnumerable().Select(r => r[y].ToString()).Distinct().ToList())));
var X_axis_values = X_axis_asc ? Source_Tbl.AsEnumerable().Select(r => r[columnX]).Distinct().OrderBy(i => i).ToList() : Source_Tbl.AsEnumerable().Select(r => r[columnX]).Distinct().OrderByDescending(i => i).ToList();
//add columns
columnY_List.ForEach(y => Result.Columns.Add(y.ToString()));
Result.Columns.Add("Total");
X_axis_values.ForEach(x => Result.Columns.Add(x.ToString()));
List <List <string> > pivot_list = new List <List <string> >();
Axis_Value_List(Y_axis_Pairs, 0, ref pivot_list);
foreach (List <string> item in pivot_list)
{
DataRow dr = Result.NewRow();
for (int i = 0; i < item.Count; i++)
{
dr[i] = item[i];
}
//total cell
List <KeyValuePair <string, string> > Dic_Total_Cell = new List <KeyValuePair <string, string> >();
for (int j = 0; j < columnY_List.Count; j++)
{
Dic_Total_Cell.Add(new KeyValuePair <string, string>(key: columnY_List[j], value: item[j]));
}
DataRow[] rows_total = Source_Tbl.Select(Expression_Str(Dic_Total_Cell)).ToArray();
if (rows_total.Count() != 0)
{
//each cell
dr[item.Count] = CellValue(rows_total, _pivotfunc);
}
else
{
dr[item.Count] = 0;
}
//value cells
for (int i = 0; i < X_axis_values.Count; i++)
{
List <KeyValuePair <string, string> > Dic_Cell = new List <KeyValuePair <string, string> >();
//add y-axis
for (int j = 0; j < columnY_List.Count; j++)
{
Dic_Cell.Add(new KeyValuePair <string, string>(key: columnY_List[j], value: item[j]));
}
//add x-axis
Dic_Cell.Add(new KeyValuePair <string, string>(key: columnX, value: X_axis_values[i].ToString()));
DataRow[] rows = Source_Tbl.Select(Expression_Str(Dic_Cell)).ToArray();
if (rows.Count() != 0)
{
//each cell
dr[i + 3] = CellValue(rows, _pivotfunc);
}
}
Result.Rows.Add(dr);
}
DataRow row_total = Result.NewRow();
row_total[columnY_List.Count] = CellValue(Source_Tbl.AsEnumerable().Select(r => r).ToArray(), _pivotfunc);
//value cells
for (int i = 0; i < X_axis_values.Count; i++)
{
List <KeyValuePair <string, string> > Dic_Cell = new List <KeyValuePair <string, string> >();
//add x-axis
Dic_Cell.Add(new KeyValuePair <string, string>(key: columnX, value: X_axis_values[i].ToString()));
DataRow[] rows = Source_Tbl.Select(Expression_Str(Dic_Cell)).ToArray();
if (rows.Count() != 0)
{
//each cell
row_total[i + 3] = CellValue(rows, _pivotfunc);
}
}
Result.Rows.Add(row_total);
return(Result);
}
