• C#用DataTable实现Group by数据统计


    1、用两层循环计算,前提条件是数据已经按分组的列排好序的。

     1 DataTable dt = new DataTable();
     2 dt.Columns.AddRange(new DataColumn[] { new DataColumn("name", typeof(string)),
     3                                         new DataColumn("sex", typeof(string)),
     4                                         new DataColumn("score", typeof(int)) });
     5 dt.Rows.Add(new object[] { "张三","",1 });
     6 dt.Rows.Add(new object[] { "张三","",4 });
     7 dt.Rows.Add(new object[] { "李四","",100 });
     8 dt.Rows.Add(new object[] { "李四","",90 });
     9 dt.Rows.Add(new object[] { "王五","",77 });
    10 DataTable dtResult = dt.Clone();
    11 for (int i = 0; i < dt.Rows.Count; )
    12 {
    13     DataRow dr = dtResult.NewRow();
    14     string name = dt.Rows[i]["name"].ToString();
    15     string sex = dt.Rows[i]["sex"].ToString();
    16     dr["name"] = name;
    17     dr["sex"] = sex;
    18     int score = 0;
    19     //内层也是循环同一个表,当遇到不同的name时跳出内层循环
    20     for (; i < dt.Rows.Count; )
    21     {
    22         if (name == dt.Rows[i]["name"].ToString()&&name == dt.Rows[i]["sex"].ToString())
    23         {
    24             score += Convert.ToInt32(dt.Rows[i]["score"]);
    25             dr["score"] = score;
    26             i++;
    27         }
    28         else
    29         {
    30             break;
    31         }
    32     }
    33     dtResult.Rows.Add(dr);
    34 }
    35 
    36 dtResult中的数据即是最终结果。 

    2、 借助DataTable的Compute方法,DataTable中数据不用事先排好序。

     1 DataTable dt = new DataTable();
     2 dt.Columns.AddRange(new DataColumn[] { new DataColumn("name", typeof(string)),
     3                                          new DataColumn("sex", typeof(string)),
     4                                          new DataColumn("score", typeof(int)) });
     5 dt.Rows.Add(new object[] { "张三","",1 });
     6 dt.Rows.Add(new object[] { "张三","",4 });
     7 dt.Rows.Add(new object[] { "李四","",100 });
     8 dt.Rows.Add(new object[] { "李四","",90 });
     9 dt.Rows.Add(new object[] { "王五","",77 });
    10 DataTable dtResult = dt.Clone();
    11 DataTable dtName = dt.DefaultView.ToTable(true, "name","sex");
    12 for (int i = 0; i < dtName.Rows.Count; i++)
    13 {
    14     DataRow[] rows = dt.Select("name='" + dtName.Rows[i][0] + "' and sex='" + dtName.Rows[i][1] + "'");
    15     //temp用来存储筛选出来的数据
    16     DataTable temp = dtResult.Clone();
    17     foreach (DataRow row in rows)
    18     {
    19         temp.Rows.Add(row.ItemArray);
    20     }
    21 
    22     DataRow dr = dtResult.NewRow();
    23     dr[0] = dtName.Rows[i][0].ToString();
    24     dr[1] = temp.Compute("sum(score)", "");
    25     dtResult.Rows.Add(dr);
    26 } 

    3、使用linq to DataTable group by实现

    var query = from t in dt.AsEnumerable()
                group t by new { t1 = t.Field<string>("name"), t2 = t.Field<string>("sex") } into m
                select new
                {
                    name = m.Key.t1,
                    sex = m.Key.t2,
                    score = m.Sum(n => n.Field<decimal>("score"))
                };
    if (query.ToList().Count > 0)
    {
        query.ToList().ForEach(q =>
        {
            Console.WriteLine(q.name + "," + q.sex + "," + q.score);
        });
    } 

    收集整理,非原创。转载:https://www.cnblogs.com/sydeveloper/archive/2013/03/29/2988669.html

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  • 原文地址:https://www.cnblogs.com/liuzz/p/14755516.html
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