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Excel 中的透视表对于数据分析来说，非常的方便，而且很多业务人员对于Excel的操作也是非常熟悉的，因此用Excel作为分析数据的界面，不失为一种很好的选择。那么如何用C#从数据库中抓取数据，并在Excel 动态生成PivotTable呢？下面结合实例来说明。
一般来说，数据库的设计都遵循规范化的原则，从而减少数据的冗余，但是对于数据分析来说，数据冗余能够提高数据加载的速度，因此为了演示透视表，这里现在数据库中建立一个视图，将需要分析的数据整合到一个视图中。如下图所示：
数据源准备好后，我们先来建立一个web应用程序，然后用NuGet加载Epplus程序包，如下图所示：
在index.aspx前台页面中，编写如下脚本：
<%@ Page Language="C#" AutoEventWireup="true" CodeBehind="index.aspx.cs" Inherits="ExcelPivot.Web.index" %>
<!DOCTYPE html>
<html xmlns="http://www.w3.org/1999/xhtml">
<head runat="server">
<meta http-equiv="Content-Type" content="text/html; charset=utf-8"/>
<title>Excel PivotTable</title>
<link rel="stylesheet" type="text/css" href="css/style.css" />
</head>
<body>
<form id="form1" runat="server">
<div id="container">
<div id="contents">
<div id="post">
<header>
<h1> Excel PivotTable </h1>
</header>
<div id="metro-array" style="display: inline-block;">
<div style="width: 230px; height: 230px; float: left; ">
<a class="metro-tile" style="cursor: pointer; width: 230px; height: 110px; display: block; background-color:#ff0000; color: #fff; margin-bottom: 10px;">
<input type="button" runat="server" id="Button1" name="btn1" value="回款情况分析" onserverclick="btn1_ServerClick"
style="background-color:transparent; color:white; font-size:16px;float:left; border:0; width:230px; height:110px; cursor:pointer;"/>
</a>
<a class="metro-tile" style="cursor: pointer; width: 230px; height: 110px; display: block; background-color:#ff6a00; color: #fff;">
<input type="button" runat="server" id="Button2" name="btn1" value="sampe1" onserverclick="btn1_ServerClick"
style="background-color:transparent; color:white; font-size:16px;float:left; border:0; width:230px; height:110px; cursor:pointer;"/>
</a>
</div>
<div style="width: 230px; height: 230px; float: left; margin-left: 10px">
<a class="metro-tile" style="cursor: pointer; width: 230px; height: 230px; display: block; background-color:#ffd800; color: #fff">
<input type="button" runat="server" id="btn1" name="btn1" value="sampe1" onserverclick="btn1_ServerClick"
style="background-color:transparent; color:white; font-size:16px;float:left; border:0; width:230px; height:230px; cursor:pointer;"/>
</a>
</div>
<div style="width: 230px; height: 230px; float: left; margin-left: 10px">
<a class="metro-tile" style="cursor: pointer; width: 230px; height: 110px; display: block; background-color:#0094ff; color: #fff; margin-bottom: 10px;">
<input type="button" runat="server" id="Button3" name="btn1" value="sampe1" onserverclick="btn1_ServerClick"
style="background-color:transparent; color:white; font-size:16px;float:left; border:0; width:230px; height:110px; cursor:pointer;"/>
</a>
<a class="metro-tile" style="cursor: pointer; width: 110px; height: 110px; margin-right: 10px; display: block; float: left; background-color: #4800ff; color: #fff;">
<input type="button" runat="server" id="Button4" name="btn1" value="sampe1" onserverclick="btn1_ServerClick"
style="background-color:transparent; color:white; font-size:16px;float:left; border:0; width:110px; height:110px; cursor:pointer;"/>
</a>
<a class="metro-tile" style="cursor: pointer; width: 110px; height: 110px; display: block; background-color: #b200ff; float: right; color: #fff;">
<input type="button" runat="server" id="Button5" name="btn1" value="sampe1" onserverclick="btn1_ServerClick"
style="background-color:transparent; color:white; font-size:16px;float:left; border:0; width:110px; height:110px; cursor:pointer;"/>
</a>
</div>
</div>
</div>
</div>
</div>
</form>
</body>
<script src="js/tileJs.js" type="text/javascript"></script>
</html>
</div>
其中 TileJs是一个开源的构建类似win8 Metro风格的javascript库。
编写后台脚本：
using System;
using System.Collections.Generic;
using System.Linq;
using System.Web;
using System.Web.UI;
using System.Web.UI.WebControls;
using OfficeOpenXml;
using OfficeOpenXml.Table;
using OfficeOpenXml.ConditionalFormatting;
using OfficeOpenXml.Style;
using OfficeOpenXml.Utils;
using OfficeOpenXml.Table.PivotTable;
using System.IO;
using System.Data.SqlClient;
using System.Data;
namespace ExcelPivot.Web
{
public partial class index : System.Web.UI.Page
{
protected void Page_Load(object sender, EventArgs e)
{
}
private DataTable getDataSource()
{
//createDataTable();
//return ProductInfo;
SqlConnection conn = new SqlConnection();
conn.ConnectionString = "Data Source=.;Initial Catalog=olap;Persist Security Info=True;User ID=sa;Password=sa";
conn.Open();
SqlDataAdapter ada = new SqlDataAdapter("select * from v_pm_olap_test", conn);
DataSet ds = new DataSet();
ada.Fill(ds);
return ds.Tables[0];
}
protected void btn1_ServerClick(object sender, EventArgs e)
{
try
{
DataTable table = getDataSource();
string path = "_demo_" + System.Guid.NewGuid().ToString().Replace("-", "_") + ".xls";
//string path = "_demo.xls";
FileInfo fileInfo = new FileInfo(path);
var excel = new ExcelPackage(fileInfo);
var wsPivot = excel.Workbook.Worksheets.Add("Pivot");
var wsData = excel.Workbook.Worksheets.Add("Data");
wsData.Cells["A1"].LoadFromDataTable(table, true, OfficeOpenXml.Table.TableStyles.Medium6);
if (table.Rows.Count != 0)
{
foreach (DataColumn col in table.Columns)
{
if (col.DataType == typeof(System.DateTime))
{
var colNumber = col.Ordinal + 1;
var range = wsData.Cells[2, colNumber, table.Rows.Count + 1, colNumber];
range.Style.Numberformat.Format = "yyyy-MM-dd";
}
else
{
}
}
}
var dataRange = wsData.Cells[wsData.Dimension.Address.ToString()];
dataRange.AutoFitColumns();
var pivotTable = wsPivot.PivotTables.Add(wsPivot.Cells["A1"], dataRange, "Pivot");
pivotTable.MultipleFieldFilters = true;
pivotTable.RowGrandTotals = true;
pivotTable.ColumGrandTotals = true;
pivotTable.Compact = true;
piv