DxPivotTable.ColumnTotalsPosition Property

Specifies the position of column totals.

Namespace: DevExpress.Blazor.PivotTable

Assembly: DevExpress.Blazor.PivotTable.v25.1.dll

NuGet Package: DevExpress.Blazor.PivotTable

Declaration

[DefaultValue(PivotTableColumnTotalsPosition.After)]
[Parameter]
public PivotTableColumnTotalsPosition ColumnTotalsPosition { get; set; }

Property Value

Type	Default	Description
PivotTableColumnTotalsPosition	After	A PivotTableColumnTotalsPosition enumeration value.

Available values:

Name	Description
Before	Column totals are displayed before columns with field values.
After	Column totals are displayed after columns with field values.

Remarks

The DevExpress Blazor Pivot Table calculates totals for its data and displays them as separate columns and rows. There are four types of totals:

• Row/column totals display sub-totals calculated for field values that include nested values (Regions and Years in the example below).
• Row/column grand totals display overall totals calculated against all rows/columns.

Run Demo: Totals

You can use the following properties to set the position of row/column totals relative to rows/columns:

• RowTotalsPosition
• ColumnTotalsPosition

The following code changes the position of row and column totals to Before:

Razor

@rendermode InteractiveServer

<DxPivotTable Data="SalesData"
         RowTotalsPosition="PivotTableRowTotalsPosition.Before"
         ColumnTotalsPosition="PivotTableColumnTotalsPosition.Before">
    <Fields>
        <DxPivotTableField Field="@nameof(Sales.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>
</DxPivotTable>

@code {
    IEnumerable<Sales.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")
        },
    };
}

You can also use the following properties to hide different totals:

• ShowRowTotals
• ShowRowGrandTotals
• ShowColumnTotals
• ShowColumnGrandTotals

Run Demo: Pivot Table - Totals

Implements

ColumnTotalsPosition