我的第一个DataTable是
Name | Value
---------------+----------
A | 12
B | 22
我希望这个表格为
A | B
---------------+----------
12 | 22
如何解决这个问题,请帮助我,我尝试了很多,但我没有得到。谢谢你提前。
答案 0 :(得分:1)
您可以使用以下代码行将行转换为列:
DataTable Pivot(DataTable table, string pivotColumnName)
{
// TODO make sure the table contains at least two columns
// get the data type of the first value column
var dataType = table.Columns[1].DataType;
// create a pivoted table, and add the first column
var pivotedTable = new DataTable();
pivotedTable.Columns.Add("Row Name", typeof(string));
// determine the names of the remaining columns of the pivoted table
var additionalColumnNames = table.AsEnumerable().Select(x => x[pivotColumnName].ToString());
// add the remaining columns to the pivoted table
foreach (var columnName in additionalColumnNames)
pivotedTable.Columns.Add(columnName, dataType);
// determine the row names for the pivoted table
var rowNames = table.Columns.Cast<DataColumn>().Select(x => x.ColumnName).Where(x => x != pivotColumnName);
// fill in the pivoted data
foreach (var rowName in rowNames)
{
// get the value data from the appropriate column of the input table
var pivotedData = table.AsEnumerable().Select(x => x[rowName]);
// make the rowName the first value
var data = new object[] { rowName }.Concat(pivotedData).ToArray();
// add the row
pivotedTable.Rows.Add(data);
}
return pivotedTable;
}
如果您有任何问题或疑问,请随时问我。
答案 1 :(得分:1)
这是一个数据透视表
using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Data;
namespace ConsoleApplication33
{
class Program
{
static void Main(string[] args)
{
DataTable dt = new DataTable();
dt.Columns.Add("Name", typeof(string));
dt.Columns.Add("Value", typeof(int));
dt.Columns.Add("Date", typeof(DateTime));
dt.Rows.Add(new object[] {"A", 100, DateTime.Parse("12/1/16")});
dt.Rows.Add(new object[] { "A", 101, DateTime.Parse("12/2/16") });
dt.Rows.Add(new object[] { "A", 102, DateTime.Parse("12/3/16") });
dt.Rows.Add(new object[] { "A", 103, DateTime.Parse("12/4/16") });
dt.Rows.Add(new object[] { "B", 104, DateTime.Parse("12/1/16") });
dt.Rows.Add(new object[] { "B", 110, DateTime.Parse("12/2/16") });
dt.Rows.Add(new object[] { "B", 114, DateTime.Parse("12/3/16") });
dt.Rows.Add(new object[] { "B", 112, DateTime.Parse("12/4/16") });
dt.Rows.Add(new object[] { "B", 100, DateTime.Parse("12/5/16") });
dt.Rows.Add(new object[] { "C", 120, DateTime.Parse("12/1/16") });
dt.Rows.Add(new object[] { "C", 130, DateTime.Parse("12/2/16") });
dt.Rows.Add(new object[] { "C", 140, DateTime.Parse("12/3/16") });
dt.Rows.Add(new object[] { "C", 150, DateTime.Parse("12/4/16") });
dt.Rows.Add(new object[] { "C", 160, DateTime.Parse("12/5/16") });
dt.Rows.Add(new object[] { "C", 101, DateTime.Parse("12/6/16") });
string[] uniqueNames = dt.AsEnumerable().Select(x => x.Field<string>("Name")).Distinct().ToArray();
var groups = dt.AsEnumerable().GroupBy(x => x.Field<DateTime>("Date")).ToList();
DataTable pivot = new DataTable();
pivot.Columns.Add("Date", typeof(DateTime));
foreach (var name in uniqueNames)
{
pivot.Columns.Add(name, typeof(string));
}
foreach (var group in groups)
{
DataRow newRow = pivot.Rows.Add();
newRow["Date"] = group.Key;
foreach (DataRow row in group)
{
newRow[row.Field<string>("Name")] = row.Field<int>("Value");
}
}
}
}
}