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datatable使用groupby进行分组统计
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。DataTable dt = new DataTable();dt.Columns.AddRange(new DataColumn[] { new DataColumn("name", typeof(string)), new DataColumn("sex", typeof(string)), new DataColumn("score", typeof(int)) });dt.Rows.Add(new object[] { "张三","男",1 });dt.Rows.Add(new object[] { "张三","男",4 });dt.Rows.Add(new object[] { "李四","男",100 });dt.Rows.Add(new object[] { "李四","女",90 });dt.Rows.Add(new object[] { "王五","女",77 });DataTable dtResult = dt.Clone();for (int i = 0; i < dt.Rows.Count; ){ DataRow dr = dtResult.NewRow(); string name = dt.Rows[i]["name"].ToString(); string sex = dt.Rows[i]["sex"].ToString(); dr["name"] = name; dr["sex"] = sex; int score = 0; //内层也是循环同一个表,当遇到不同的name时跳出内层循环 for (; i < dt.Rows.Count; ) { if (name == dt.Rows[i]["name"].ToString()&&name == dt.Rows[i]["sex"].ToString()) { score += Convert.ToInt32(dt.Rows[i]["score"]); dr["score"] = score; i++; } else { break; } } dtResult.Rows.Add(dr);}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。DataTable dt = new DataTable();dt.Columns.AddRange(new DataColumn[] { new DataColumn("name", typeof(string)), new DataColumn("sex", typeof(string)), new DataColumn("score", typeof(int)) });dt.Rows.Add(new object[] { "张三","男",1 });dt.Rows.Add(new object[] { "张三","男",4 });dt.Rows.Add(new object[] { "李四","男",100 });dt.Rows.Add(new object[] { "李四","女",90 });dt.Rows.Add(new object[] { "王五","女",77 });DataTable dtResult = dt.Clone();DataTable dtName = dt.DefaultView.ToTable(true, "name","sex");for (int i = 0; i < dtName.Rows.Count; i++){ DataRow[] rows = dt.Select("name=‘" + dtName.Rows[i][0] + "‘ and sex=‘" + dtName.Rows[i][1] + "‘"); //temp用来存储筛选出来的数据 DataTable temp = dtResult.Clone(); foreach (DataRow row in rows) { temp.Rows.Add(row.ItemArray); } DataRow dr = dtResult.NewRow(); dr[0] = dtName.Rows[i][0].ToString(); dr[1] = temp.Compute("sum(score)", ""); dtResult.Rows.Add(dr);} 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); });}
DataTable dt = new DataTable("cart"); DataColumn dc1 = new DataColumn("areaid", Type.GetType("System.String")); DataColumn dc2 = new DataColumn("house", Type.GetType("System.String")); DataColumn dc3 = new DataColumn("seq", Type.GetType("System.String")); DataColumn dc4 = new DataColumn("remark", Type.GetType("System.String")); dt.Columns.Add(dc1); dt.Columns.Add(dc2); dt.Columns.Add(dc3); dt.Columns.Add(dc4); DataRow dr = dt.NewRow(); dr["areaid"] = "北京"; dr["house"] = "北京仓库"; dr["seq"] = "2"; dr["remark"] = "货到付款"; dt.Rows.Add(dr); DataRow dr1 = dt.NewRow(); dr1["areaid"] = "北京"; dr1["house"] = "上海仓库"; dr1["seq"] = "1"; dr1["remark"] = "货到付款"; dt.Rows.Add(dr1); DataRow dr2 = dt.NewRow(); dr2["areaid"] = "上海"; dr2["house"] = "上海仓库"; dr2["seq"] = "1"; dr2["remark"] = "货到付款"; dt.Rows.Add(dr2); DataRow dr3 = dt.NewRow(); dr3["areaid"] = "上海"; dr3["house"] = "北京仓库"; dr3["seq"] = "1"; dr3["remark"] = "货到付款"; dt.Rows.Add(dr3); var query = from t in dt.AsEnumerable() group t by new { t1 = t.Field<string>("areaid"), t2 = t.Field<string>("seq") } into m select new { areaid = m.Key.t1, seq = m.Key.t2, house = m.First().Field<string>("house"), rowcount = m.Count() }; Console.WriteLine("区域 " + " 库房" + " 数量"); foreach (var item in query.ToList()) { if (item.rowcount > 1) { MessageBox.Show(item.areaid + "---" + item.house); } Console.WriteLine(item.areaid + "---" + item.house + "---" + item.rowcount); Console.WriteLine("\r\n"); }
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datatable使用groupby进行分组统计
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