DxPivotTable.CollapseAllGroups() Method

Collapses all groups in the Pivot Table component.

Namespace: DevExpress.Blazor.PivotTable

Assembly: DevExpress.Blazor.PivotTable.v26.1.dll

Declaration

public void CollapseAllGroups()

Remarks

The Blazor Pivot Table automatically groups data when multiple fields are added to row or column areas. All groups are expanded when data is loaded. Set the AutoExpandGroups property to false to collapse groups. You can also use the ExpandAllGroups or CollapseAllGroups methods to expand/collapse all groups in the Pivot Table component.

Note

When bound to a Server Mode data source, the Pivot Table loads data asynchronously in small portions (instead of the entire dataset). Call the WaitForDataLoadAsync method before you execute CollapseAllGroups to ensure correct data operations.

Razor

@rendermode InteractiveServer

<DxPivotTable Data="SalesData" @ref="PivotTable">
    <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>
<p></p>
<DxToolbar>
    <Items>
        <DxToolbarItem Text="Collapse Groups" Click="() => PivotTable.CollapseAllGroups()" />
        <DxToolbarItem Text="Expand Groups" Click="() => PivotTable.ExpandAllGroups()" />  
    </Items>
</DxToolbar>

@code {
    IPivotTable PivotTable { get; set; }
    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")
        },
    };
}

Implements

CollapseAllGroups()