DxChartFullStackedSplineSeries<T, TArgument, TValue> Class

Defines a full stacked spline area series.

Assembly: DevExpress.Blazor.v20.2.dll

Declaration

public class DxChartFullStackedSplineSeries<T, TArgument, TValue> :
    DxChartSeries<T, TArgument, TValue, ChartFullStackedSplineSeriesModel<T, TArgument, TValue>>

Type Parameters

Name	Description
T	The type of data.
TArgument	The type of series arguments.
TValue	The type of series values.

Remarks

The full stacked spline series displays the percentage value of multiple spline series for each argument.

Use the chart's Data property to specify an IEnumerable<T> data source, and the ArgumentField and ValueField properties to specify data source fields that contain arguments and values for chart points. For a sample data source, refer to our GitHub repository.

<DxChart Data="@SalesData">
    <DxChartFullStackedSplineSeries Name="2017" Filter="@((SaleInfo s) => s.Date.Year == 2017)"
                                    ArgumentField="@(s => s.City)" ValueField="@(s => s.Amount)"
                                    AggregationMethod="Enumerable.Sum" />
    <DxChartFullStackedSplineSeries Name="2018" Filter="@((SaleInfo s) => s.Date.Year == 2018)"
                                    ArgumentField="@(s => s.City)" ValueField="@(s => s.Amount)"
                                    AggregationMethod="Enumerable.Sum" />
    <DxChartFullStackedSplineSeries Name="2019" Filter="@((SaleInfo s) => s.Date.Year == 2019)"
                                    ArgumentField="@(s => s.City)" ValueField="@(s => s.Amount)"
                                    AggregationMethod="Enumerable.Sum" />
    <DxChartLegend Position="RelativePosition.Outside" HorizontalAlignment="HorizontalAlignment.Right" />
</DxChart>

@code {
    IEnumerable<SaleInfo> SalesData;

    protected override async Task OnInitializedAsync() {
        SalesData = await Sales.GetSalesAsync();
    }
}

using System;

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; }
}

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

public class Sales {
    static IList<SaleInfo> dataSource;
    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("2017/01/13")
            },
            new SaleInfo {
                OrderId = 10250,
                Region = "North America",
                Country = "United States",
                City = "Denver",
                Amount = 2235,
                Date = DateTime.Parse("2017/01/07")
            },
            new SaleInfo {
                OrderId = 10251,
                Region = "North America",
                Country = "Canada",
                City = "Vancouver",
                Amount = 1965,
                Date = DateTime.Parse("2017/01/03")
            },
            new SaleInfo {
                OrderId = 10252,
                Region = "North America",
                Country = "Canada",
                City = "Edmonton",
                Amount = 880,
                Date = DateTime.Parse("2017/01/10")
            },
            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("2017/01/21")
            },
            new SaleInfo {
                OrderId = 10255,
                Region = "South America",
                Country = "Paraguay",
                City = "Asuncion",
                Amount = 3140,
                Date = DateTime.Parse("2017/01/01")
            },
            new SaleInfo {
                OrderId = 10256,
                Region = "Europe",
                Country = "United Kingdom",
                City = "London",
                Amount = 6175,
                Date = DateTime.Parse("2017/01/24")
            },
            new SaleInfo {
                OrderId = 10257,
                Region = "Europe",
                Country = "Germany",
                City = "Berlin",
                Amount = 4575,
                Date = DateTime.Parse("2017/01/11")
            },
            //...
    };
    }
}

Chart Full Stacked Spline Series