回答編集履歴
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【追伸】追加
answer
CHANGED
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@@ -4,4 +4,83 @@
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```
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6
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(data["詳細項目_No"] >= 1 && data["詳細項目_No"] <= n)
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7
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```
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【追伸】
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10
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11
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コメントに書きましたが、検証に使ったサンプルをアップしておきます。
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12
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```
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using System;
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using System.Collections.Generic;
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using System.Linq;
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using System.Text;
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using System.Data;
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namespace ConsoleAppLinq2
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{
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class Program
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{
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// データソース用の DataTable を作成
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25
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protected DataTable CreateDataSource()
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{
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DataTable dt = new DataTable();
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DataRow dr;
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dt.Columns.Add(new DataColumn("ID", typeof(Int32)));
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dt.Columns.Add(new DataColumn("Name", typeof(string)));
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dt.Columns.Add(new DataColumn("Type", typeof(string)));
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dt.Columns.Add(new DataColumn("Price", typeof(Int32)));
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dt.Columns.Add(new DataColumn("Qty", typeof(Int32)));
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dt.Columns.Add(new DataColumn("Amount", typeof(Int32)));
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dt.Columns.Add(new DataColumn("CategoryID", typeof(Int32)));
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dt.Columns.Add(new DataColumn("Note", typeof(string)));
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dt.Columns.Add(new DataColumn("Discontinued", typeof(bool)));
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dt.Columns.Add(new DataColumn("DateTime", typeof(DateTime)));
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for (int i = 0; i < 25; i++)
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{
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dr = dt.NewRow();
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dr["ID"] = i;
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dr["Name"] = "Product Name_" + i.ToString();
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dr["Type"] = "Product Type " + (100 - i).ToString();
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dr["Price"] = 123000 * (i + 1);
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dr["Qty"] = (i + 1) * 20;
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dr["Amount"] = 123000 * (i + 1) * (i + 1);
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dr["CategoryID"] = 100 - i;
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dr["Note"] = "Note_" + i.ToString();
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dr["Discontinued"] = (i % 2 == 0) ? true : false;
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dr["DateTime"] = DateTime.Now.AddDays(i);
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dt.Rows.Add(dr);
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}
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return dt;
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}
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static void Main(string[] args)
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{
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Program prg = new Program();
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DataTable getDt = prg.CreateDataSource();
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int n = 5;
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var query = from data in getDt.AsEnumerable()
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where ((int)data["ID"] >=1 && (int)data["ID"] <= n)
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select data;
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foreach (DataRow row in query)
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{
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Console.WriteLine("ID: {0}, Name: {1}, Type: {2}, Price: {3}",
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row["ID"], row["Name"], row["Type"], row["Price"]);
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}
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/*
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結果は：
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ID: 1, Name: Product Name_1, Type: Product Type 99, Price: 246000
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ID: 2, Name: Product Name_2, Type: Product Type 98, Price: 369000
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ID: 3, Name: Product Name_3, Type: Product Type 97, Price: 492000
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ID: 4, Name: Product Name_4, Type: Product Type 96, Price: 615000
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ID: 5, Name: Product Name_5, Type: Product Type 95, Price: 738000
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*/
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83
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}
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84
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}
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85
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}
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7
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```
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