Example #1
0
        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);
            }
        }
Example #2
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);
        }