DxPivotTable.FieldCellTemplate Property

Specifies a common template for all data cells in the Pivot Table.

Namespace: DevExpress.Blazor.PivotTable

Assembly: DevExpress.Blazor.PivotTable.v24.2.dll

NuGet Package: DevExpress.Blazor.PivotTable

Declaration

C#

[Parameter]
public RenderFragment<PivotTableFieldCellTemplateContext> FieldCellTemplate { get; set; }

Property Value

Type	Description
RenderFragment<PivotTableFieldCellTemplateContext>	The template content.

Remarks

The Pivot Table component allows you to use different templates to customize appearance of its areas: headers, field values, data cells.

Use the FieldCellTemplate property to specify a common template for all data cells in the Pivot Table. To override a template for data cells that correspond to a specific field, use the DxPivotTableField.CellTemplate property.

The following code specifies FieldHeaderTemplate, FieldValueTemplate, and FieldCellTemplate.

Razor

@rendermode InteractiveServer

<DxPivotTable Data="SalesData"
              style="height:440px">
    <Fields>
        <DxPivotTableField Field="@nameof(SaleInfo.Region)"
                           Area="@PivotTableArea.Row"
                           AreaIndex="0" />
        <DxPivotTableField Field="@nameof(Sales.SaleInfo.Country)"
                           Area="@PivotTableArea.Row"
                           SortOrder="@PivotTableSortOrder.Descending"
                           AreaIndex="1" />
        <DxPivotTableField Field="@nameof(Sales.SaleInfo.Date)"
                           GroupInterval="@PivotTableGroupInterval.DateYear"
                           Area="@PivotTableArea.Column"
                           AreaIndex="0" 
                           Caption="Year" />
        <DxPivotTableField Field="@nameof(Sales.SaleInfo.Date)"
                           GroupInterval="@PivotTableGroupInterval.DateQuarter"
                           Area="@PivotTableArea.Column"
                           AreaIndex="1"
                           Caption="Quarter" />
        <DxPivotTableField Field="@nameof(Sales.SaleInfo.Amount)"
                           SortOrder="@PivotTableSortOrder.Ascending"
                           Area="@PivotTableArea.Data"
                           SummaryType="@PivotTableSummaryType.Sum" />
    </Fields>
    <FieldHeaderTemplate>
        <span style="color:red">@context.Text </span>
    </FieldHeaderTemplate>
    <FieldValueTemplate>
        <span style="font-style: italic">@context.Value</span>
    </FieldValueTemplate>
    <FieldCellTemplate>
        <span style="font-weight: 300">@context.Value</span>
    </FieldCellTemplate>
</DxPivotTable>

@code {
    IEnumerable<SaleInfo> SalesData;
    protected override async Task OnInitializedAsync() {
        SalesData = await Sales.GetSalesAsync();
    }
}

Sales.cs

using System;
using System.Collections.Generic;
using System.Linq;
using System.Threading.Tasks;

public class Sales {
    static IList<SaleInfo> dataSource;

    public class SaleInfo {
        public int OrderId { get; set; }
        public string Region { get; set; }
        public string Country { get; set; }
        public string City { get; set; }
        public int Amount { get; set; }
        public DateTime Date { get; set; }
    }

    static Sales() {
        CreateDataSource();
    }

    public static Task<IQueryable<SaleInfo>> GetSalesAsync() {
        return Task.FromResult(dataSource.AsQueryable());
    }

    static void CreateDataSource() {
        dataSource = new List<SaleInfo> {
        new SaleInfo {
            OrderId = 10248,
            Region = "North America",
            Country = "United States",
            City = "New York",
            Amount = 1740,
            Date = DateTime.Parse("2017/01/06")
        },
        new SaleInfo {
            OrderId = 10249,
            Region = "North America",
            Country = "United States",
            City = "Los Angeles",
            Amount = 850,
            Date = DateTime.Parse("2017/02/13")
        },
        new SaleInfo {
            OrderId = 10250,
            Region = "North America",
            Country = "United States",
            City = "Denver",
            Amount = 2235,
            Date = DateTime.Parse("2017/02/07")
        },
        new SaleInfo {
            OrderId = 10251,
            Region = "North America",
            Country = "Canada",
            City = "Vancouver",
            Amount = 1965,
            Date = DateTime.Parse("2017/03/03")
        },
        new SaleInfo {
            OrderId = 10252,
            Region = "North America",
            Country = "Canada",
            City = "Edmonton",
            Amount = 880,
            Date = DateTime.Parse("2017/03/10")
        },
        new SaleInfo {
            OrderId = 10253,
            Region = "South America",
            Country = "Brazil",
            City = "Rio de Janeiro",
            Amount = 5260,
            Date = DateTime.Parse("2017/01/17")
        },
        new SaleInfo {
            OrderId = 10254,
            Region = "South America",
            Country = "Argentina",
            City = "Buenos Aires",
            Amount = 2790,
            Date = DateTime.Parse("2017/05/21")
        },
        new SaleInfo {
            OrderId = 10255,
            Region = "South America",
            Country = "Paraguay",
            City = "Asuncion",
            Amount = 3140,
            Date = DateTime.Parse("2017/05/01")
        },
        new SaleInfo {
            OrderId = 10256,
            Region = "Europe",
            Country = "United Kingdom",
            City = "London",
            Amount = 6175,
            Date = DateTime.Parse("2017/06/24")
        },
        new SaleInfo {
            OrderId = 10257,
            Region = "Europe",
            Country = "Germany",
            City = "Berlin",
            Amount = 4575,
            Date = DateTime.Parse("2017/06/11")
        },
        new SaleInfo {
            OrderId = 10517,
            Region = "North America",
            Country = "United States",
            City = "New York",
            Amount = 7710,
            Date = DateTime.Parse("2018/07/18")
        },
        new SaleInfo {
            OrderId = 10518,
            Region = "North America",
            Country = "United States",
            City = "Los Angeles",
            Amount = 7975,
            Date = DateTime.Parse("2018/01/10")
        },
        new SaleInfo {
            OrderId = 10519,
            Region = "North America",
            Country = "United States",
            City = "Denver",
            Amount = 3285,
            Date = DateTime.Parse("2018/03/13")
        },
        new SaleInfo {
            OrderId = 10520,
            Region = "North America",
            Country = "Canada",
            City = "Vancouver",
            Amount = 2580,
            Date = DateTime.Parse("2018/04/22")
        },
        new SaleInfo {
            OrderId = 10521,
            Region = "North America",
            Country = "Canada",
            City = "Edmonton",
            Amount = 2160,
            Date = DateTime.Parse("2018/05/26")
        },
        new SaleInfo {
            OrderId = 10522,
            Region = "South America",
            Country = "Brazil",
            City = "Rio de Janeiro",
            Amount = 1100,
            Date = DateTime.Parse("2018/05/25")
        },
        new SaleInfo {
            OrderId = 10523,
            Region = "South America",
            Country = "Argentina",
            City = "Buenos Aires",
            Amount = 4425,
            Date = DateTime.Parse("2018/08/21")
        },
        new SaleInfo {
            OrderId = 10524,
            Region = "South America",
            Country = "Paraguay",
            City = "Asuncion",
            Amount = 1360,
            Date = DateTime.Parse("2018/08/22")
        },
        new SaleInfo {
            OrderId = 10525,
            Region = "Europe",
            Country = "United Kingdom",
            City = "London",
            Amount = 3250,
            Date = DateTime.Parse("2018/11/14")
        },
        new SaleInfo {
            OrderId = 10526,
            Region = "Europe",
            Country = "Germany",
            City = "Berlin",
            Amount = 5550,
            Date = DateTime.Parse("2018/12/21")
        },
    };
}

Run Demo: Templates

Implements

FieldCellTemplate