DxPivotTable.GetFilterCriteria() Method

Returns the filter criteria applied to Pivot Table data.

Namespace: DevExpress.Blazor.PivotTable

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

NuGet Package: DevExpress.Blazor.PivotTable

Declaration

public CriteriaOperator GetFilterCriteria()

Returns

Type	Description
CriteriaOperator	An object that specifies the filter expression.

Remarks

The DevExpress Blazor Pivot Table component allows you to apply filters in the UI and in code.

Use the GetFilterCriteria method to obtain the filter criteria currently applied to Pivot Table data.

The following code adds a toolbar that allows you to specify a filter for Pivot Table data (Region = “North America”) and clear the filter. The code also gets the filter criteria and displays it under the Pivot Table.

Razor

@rendermode InteractiveServer
@using Services
@using DevExpress.Data.Filtering

<DxToolbar ItemClick="@OnItemClick">
    <Items>
        <DxToolbarItem Name="_setFilterCriteria" Text="Set Filter Criteria" Tooltip="Set Filter Criteria" />
        <DxToolbarItem Name="_clearFilterCriteria" Text="Clear Filter Criteria" Tooltip="Clear Filter Criteria" />
    </Items>
</DxToolbar>
<br />

<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 class="cw-480 mt-3">
    Filter Criteria: <b>@PivotTable?.GetFilterCriteria()?.ToString()</b>
</p>

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

    IPivotTable PivotTable { get; set; }
    void OnItemClick(ToolbarItemClickEventArgs e) {
        switch (e.ItemName) {
            case "_setFilterCriteria":
                PivotTable.SetFilterCriteria(new BinaryOperator(nameof(Sales.SaleInfo.Region), "North America", BinaryOperatorType.Equal));
                break;
            case "_clearFilterCriteria":
                PivotTable.ClearFilter();
                break;
        }
    }
}

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

GetFilterCriteria()