在 Aspose.Cells for .NET 中管理数据透视表值字段

将字段添加到数据区域

将基础字段添加到数据(值)区域是塑造数据透视表如何聚合源数据的第一步。Aspose.Cells 公开了 PivotTable.AddFieldToArea(PivotFieldType, string),这是一个接受常量 PivotFieldType.Data 和源列名称的重载方法。字段添加到数据区域后,API 通过 PivotTable.DataFields 集合按字段被添加的顺序公开该字段。默认情况下,数值类型的源列使用 ConsolidationFunction.Sum 进行汇总,而非数值类型的列默认为 Count。

using System;
using Aspose.Cells;
using Aspose.Cells.Pivot;
Workbook workbook = new Workbook();
Worksheet worksheet = workbook.Worksheets[0];
worksheet.Name = "Data";
string[] headers = { "Category", "Item", "Year", "Amount" };
for (int j = 0; j < headers.Length; j++)
{
    worksheet.Cells[0, j].PutValue(headers[j]);
}
object[,] data = {
    { "Fruit",     "Apple",  2020, 100 },
    { "Fruit",     "Apple",  2021, 150 },
    { "Fruit",     "Banana", 2020,  80 },
    { "Fruit",     "Banana", 2021,  90 },
    { "Vegetable", "Carrot", 2020,  50 },
    { "Vegetable", "Carrot", 2021,  60 },
    { "Vegetable", "Daikon", 2020,  40 },
    { "Vegetable", "Daikon", 2021,  45 }
};
for (int i = 0; i < data.GetLength(0); i++)
{
    for (int j = 0; j < data.GetLength(1); j++)
    {
        worksheet.Cells[i + 1, j].PutValue(data[i, j]);
    }
}
int pivotIndex = worksheet.PivotTables.Add("A1:D9", "F3", "PivotTable1");
PivotTable pivotTable = worksheet.PivotTables[pivotIndex];
pivotTable.AddFieldToArea(PivotFieldType.Row, "Category");
pivotTable.AddFieldToArea(PivotFieldType.Row, "Item");
pivotTable.AddFieldToArea(PivotFieldType.Column, "Year");
pivotTable.AddFieldToArea(PivotFieldType.Data, "Amount");
pivotTable.CalculateData();
workbook.Save("output_drag.xlsx");

更改汇总函数

字段驻留在数据区域后,Aspose.Cells 通过 PivotTable.DataFields 上的 PivotField 对象公开该字段。每个 PivotField 都有一个类型为 ConsolidationFunction 的可写 Function 属性,用于控制应用于该字段基础值的聚合方式。ConsolidationFunction 是一个枚举,其成员包括 Sum、Count、Average、Max、Min、Product、StdDev、StdDevp、Var 和 Varp —— 前六个涵盖了绝大多数实际用例,而后四个是用于方差分析的统计聚合函数。

using System;
using Aspose.Cells;
using Aspose.Cells.Pivot;
Workbook workbook = new Workbook();
Worksheet worksheet = workbook.Worksheets[0];
worksheet.Name = "Data";
string[] headers = { "Category", "Item", "Year", "Amount" };
for (int j = 0; j < headers.Length; j++)
{
    worksheet.Cells[0, j].PutValue(headers[j]);
}
object[,] data = {
    { "Fruit",     "Apple",  2020, 100 },
    { "Fruit",     "Apple",  2021, 150 },
    { "Fruit",     "Banana", 2020,  80 },
    { "Fruit",     "Banana", 2021,  90 },
    { "Vegetable", "Carrot", 2020,  50 },
    { "Vegetable", "Carrot", 2021,  60 },
    { "Vegetable", "Daikon", 2020,  40 },
    { "Vegetable", "Daikon", 2021,  45 }
};
for (int i = 0; i < data.GetLength(0); i++)
{
    for (int j = 0; j < data.GetLength(1); j++)
    {
        worksheet.Cells[i + 1, j].PutValue(data[i, j]);
    }
}
int pivotIndex = worksheet.PivotTables.Add("A1:D9", "F3", "PivotTable1");
PivotTable pivotTable = worksheet.PivotTables[pivotIndex];
pivotTable.AddFieldToArea(PivotFieldType.Row, "Category");
pivotTable.AddFieldToArea(PivotFieldType.Row, "Item");
pivotTable.AddFieldToArea(PivotFieldType.Column, "Year");
pivotTable.AddFieldToArea(PivotFieldType.Data, "Amount");
pivotTable.AddFieldToArea(PivotFieldType.Data, "Amount");
PivotField countField = pivotTable.DataFields[1];
countField.Function = ConsolidationFunction.Count;
pivotTable.CalculateData();
workbook.Save("output_function.xlsx");

将值字段绘制到行或列轴

当数据透视表包含两个或更多数据字段时,Aspose.Cells 会公开一个额外的虚拟字段 PivotTable.ValuesField。该虚拟字段表示驻留在数据区域中所有数据字段的聚合。您可以将其作为基础数据透视字段拖到行或列区域,这对于并排展示多个度量值非常有用。

using System;
using Aspose.Cells;
using Aspose.Cells.Pivot;
Workbook workbook = new Workbook();
Worksheet worksheet = workbook.Worksheets[0];
worksheet.Name = "Data";
string[] headers = { "Category", "Item", "Year", "Amount" };
for (int j = 0; j < headers.Length; j++)
{
    worksheet.Cells[0, j].PutValue(headers[j]);
}
object[,] data = {
    { "Fruit",     "Apple",  2020, 100 },
    { "Fruit",     "Apple",  2021, 150 },
    { "Fruit",     "Banana", 2020,  80 },
    { "Fruit",     "Banana", 2021,  90 },
    { "Vegetable", "Carrot", 2020,  50 },
    { "Vegetable", "Carrot", 2021,  60 },
    { "Vegetable", "Daikon", 2020,  40 },
    { "Vegetable", "Daikon", 2021,  45 }
};
for (int i = 0; i < data.GetLength(0); i++)
{
    for (int j = 0; j < data.GetLength(1); j++)
    {
        worksheet.Cells[i + 1, j].PutValue(data[i, j]);
    }
}
int pivotIndex = worksheet.PivotTables.Add("A1:D9", "F3", "PivotTable1");
PivotTable pivotTable = worksheet.PivotTables[pivotIndex];
pivotTable.AddFieldToArea(PivotFieldType.Row, "Category");
pivotTable.AddFieldToArea(PivotFieldType.Row, "Item");
pivotTable.AddFieldToArea(PivotFieldType.Column, "Year");
pivotTable.AddFieldToArea(PivotFieldType.Data, "Amount");
pivotTable.AddFieldToArea(PivotFieldType.Data, "Amount");
pivotTable.DataFields[1].Function = ConsolidationFunction.Count;
pivotTable.AddFieldToArea(PivotFieldType.Column, pivotTable.ValuesField.Name);
pivotTable.CalculateData();
workbook.Save("output_plot.xlsx");