ChartAggregationMethod Enum

Lists values that specify how to aggregate series points.

Namespace: DevExpress.Blazor

Assembly: DevExpress.Blazor.v22.1.dll

NuGet Package: DevExpress.Blazor

Declaration

public enum ChartAggregationMethod

Members

Name	Description
Auto	For most series types, the Average function is automatically applied. For Range Area and Range Bar series types, the Range function is used. For Stock and Candlestick series types, the Financial function is used.
Average	Calculates the average value for a selected numeric or date-time interval.
Min	Calculates the minimum value for a selected numeric or date-time interval.
Max	Calculates the maximum value for a selected numeric or date-time interval.
Count	Calculates the number of non-null values for a selected numeric or date-time interval.
Sum	Calculates the summary for a selected numeric or date-time interval.
Financial	Use this function for Stock and Candlestick series types. The function aggregates financial data for a selected interval into a single high-low-open-close data point: * the high value equals the highest value of all data points in this interval; * the low value equals the lowest value of all data points; * the open value equals the open value of the first data point; * the close value equals the close value of the last data point.
Range	Use this function for Range Area and Range Bar series types. The function calculates the range of values for a selected numeric or date-time interval.

Related API Members

The following properties accept/return ChartAggregationMethod values:

• DxChartAggregationSettings.Method

Remarks

Use the ChartAggregationMethod enumeration value to specify an aggregation method for data aggregation.

Razor

@using Chart.Data

<DxChart Data="@SalesData">
    <DxChartLineSeries Name="2017"
                        Filter="@((SaleInfo s) => s.Date.Year == 2017)"
                        ArgumentField="@(s => s.Date)"
                        ValueField="@(s => s.Amount)">
        <DxChartAggregationSettings Enabled="true" Method="ChartAggregationMethod.Sum" />
    </DxChartLineSeries>
    <DxChartZoomAndPanSettings ArgumentAxisZoomAndPanMode="ChartAxisZoomAndPanMode.Both"
                               ValueAxisZoomAndPanMode="ChartAxisZoomAndPanMode.Pan" />
    <DxChartScrollBarSettings ArgumentAxisScrollBarVisible="true"
                              ArgumentAxisScrollBarPosition="ChartScrollBarPosition.Top" />
</DxChart>

@code {
    IEnumerable<SaleInfo> SalesData;

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

SaleInfo

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; }
}

Sales

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")
            },
            // ...
    };
    }
}