DxChart<T> Class

A Chart component.

Assembly: DevExpress.Blazor.v21.1.dll

Declaration

public class DxChart<T> :
    DxChart

Type Parameters

Name	Description
T	The data item type.

Remarks

The DevExpress Chart component (<DxChart>) allows you to create Line, Area, Bar, Bubble, Pie, and other chart types for Blazor applications.

Blazor Charts

Run Demo: Charts - Overview

Add a Chart to a Project

Follow the steps below to add the Chart component to an application:

Use a DevExpress Project Template to create a new Blazor Server or Blazor WebAssembly application. If you use a Microsoft project template or already have a Blazor project, configure your project to incorporate DevExpress Blazor components.
Add the <DxChart>…</DxChart> markup to a Razor page.
Bind the component to data.
Configure the component (see the sections below).

Read Tutorial: Get Started with Charts Watch Video: Get Started with Charts

Chart Types

<DxChart> contains a variety of 2D series types that display data as a single chart or a combination of different series.

Chart View	Series Type	Demo
Area	DxChartAreaSeries DxChartRangeAreaSeries DxChartSplineAreaSeries DxChartStackedAreaSeries DxChartStackedSplineAreaSeries DxChartFullStackedAreaSeries DxChartFullStackedSplineAreaSeries DxChartStepAreaSeries	Charts - Series Types Charts - Range Area Series
Bar	DxChartBarSeries DxChartRangeBarSeries DxChartStackedBarSeries DxChartFullStackedBarSeries	Charts - Series Types Charts - Range Bar Series
Bubble	DxChartBubbleSeries	Charts - Series Types
Financial	DxChartCandlestickSeries DxChartStockSeries	Charts - Financial Series
Line	DxChartLineSeries DxChartSplineSeries DxChartStackedLineSeries DxChartStackedSplineSeries DxChartFullStackedLineSeries DxChartFullStackedSplineSeries DxChartStepLineSeries	Charts - Series Types
Pie	DxChartPieSeries DxChartDonutSeries	Charts - Pie Series
Scatter	DxChartScatterSeries	Charts - Series Types

Bind to Data

Use the 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.

Note

The Chart operates in bound mode only.

<DxChart Data="@SalesData">
    <DxChartLineSeries Name="2017" 
                       Filter="@((SaleInfo s) => s.Date.Year == 2017)"
                       ArgumentField="@(s => s.City)" 
                       ValueField="@(s => s.Amount)" 
                       SummaryMethod="Enumerable.Sum"/>
    <DxChartLineSeries Name="2018" 
                       Filter="@((SaleInfo s) => s.Date.Year == 2018)"
                       ArgumentField="@(s => s.City)" 
                       ValueField="@(s => s.Amount)" 
                       SummaryMethod="Enumerable.Sum"/>
    <DxChartLineSeries Name="2019" 
                       Filter="@((SaleInfo s) => s.Date.Year == 2019)"
                       ArgumentField="@(s => s.City)" 
                       ValueField="@(s => s.Amount)" 
                       SummaryMethod="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 Line Series

If the data source collection implements the INotifyCollectionChanged interface, the Chart is updated automatically each time the collection changes. Otherwise, use the RefreshData method to reload data and redraw the component. To re-render the Chart area without a data reload, call the RedrawAsync method.

Series

A chart series is a collection of related data points. You can specify common settings for all chart series, or add series to the component markup and configure series-specific settings individually. If you have several series, place them at the same Chart hierarchy level.

Note

Pie charts can only display a Pie or Donut series.

Common Settings

Use the DxChartCommonSeries component to specify common settings for all chart series. The SeriesType property specifies the chart type.

<DxChart Data="@SalesData">
    <DxChartCommonSeries NameField="@((SaleInfo s) => s.Date.Year)"
                         ArgumentField="@((SaleInfo s) => s.City)"
                         ValueField="@((SaleInfo s) => s.Amount)"
                         SeriesType="ChartSeriesType.Bar"
                         SummaryMethod="Enumerable.Max">
    </DxChartCommonSeries>
</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 Bar Series Series

Run Demo: Charts - Bar Series

The table below lists common settings for chart series:

Member	Description
SummaryMethod	Specifies the method that calculates summaries for points with the same argument value.
ArgumentField	Specifies a data source field that stores arguments for series values.
Filter	Specifies a filter that is applied to data source objects.
NameField	Specifies a data source field that is used to group data by series.
PaneField	Specifies which data source field contains pane names for chart series.
SeriesTemplate	Specifies a series template
ValueField	Specifies a data source field that contains values for series points.

Note

Individual series settings have priority over common series settings.

Type-Specific Settings

Type-specific series have their own settings. For example, Bubble series display chart data as points with different sizes called “bubbles”. To specify a data source field that defines bubble sizes, use the DxChartBubbleSeries.SizeField property.

@using System.Drawing

<DxChart Data="@SalesData">
    <DxChartBubbleSeries Name="United States" 
                         Filter="@((SaleInfo s) => s.Country == "United States")"
                         ArgumentField="@(s => s.Date.DayOfWeek.ToString())"
                         ValueField="@(s => s.Date.Year)"
                         SizeField="@(s => s.Amount)"
                         Color="@(Color.FromArgb(208, 208, 208))"
                         SummaryMethod="Enumerable.Max" />
    <DxChartBubbleSeries Name="Canada" 
                         Filter="@((SaleInfo s) => s.Country == "Canada")"
                         ArgumentField="@(s => s.Date.DayOfWeek.ToString())"
                         ValueField="@(s => s.Date.Year)"
                         SizeField="@(s => s.Amount)"
                         Color="@(Color.FromArgb(252, 58, 48))"
                         SummaryMethod="Enumerable.Max" />
    <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")
            },
            // ...
    };
    }
}

Charts Specific Series Settings Bubble

Run Demo: Charts - Bubble Series

For line series, you can use the DxChartSeriesPoint component to customize the point’s color, size, symbol, and visibility. These settings apply to all points in a series. To override individual point settings, handle the chart’s CustomizeSeriesPoint event.

@inject WeatherForecastService ForecastService

<DxChart Data="@ChartData" CustomizeSeriesPoint="@PreparePointColor">
    <DxChartLineSeries AggregationMethod="@(i => (int)i.Average())"
                       Color="@System.Drawing.Color.Gray"
                       ValueField="@((WeatherForecast i) => i.TemperatureF)"
                       ArgumentField="@(i => i.Date.Date)"
                       Name="Temperature, F">
        <DxChartSeriesPoint Symbol="ChartPointSymbol.Polygon" Color="@System.Drawing.Color.Gray" Size="25" />
    </DxChartLineSeries>
</DxChart>

@code {
    WeatherForecast[] ChartData;

    protected override async Task OnInitializedAsync() {
        ChartData = await ForecastService.GetForecastAsync();
    }

    protected void PreparePointColor(ChartSeriesPointCustomizationSettings pointSettings) {
        double value = (double)pointSettings.Point.Value;
        if (value > 75)
            pointSettings.PointAppearance.Color = System.Drawing.Color.Red;
        else if (value < 25)
            pointSettings.PointAppearance.Color = System.Drawing.Color.Blue;
    }
}

using System;

public class WeatherForecast {
    public DateTime Date { get; set; }
    public int TemperatureC { get; set; }
    public double TemperatureF => Math.Round((TemperatureC * 1.8 + 32), 2);
}

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

public class WeatherForecastService {
    private List<WeatherForecast> Forecast { get; set; }

    public WeatherForecastService() {
        Forecast = CreateForecast();
    }

    private List<WeatherForecast> CreateForecast() {
        var rng = new Random();
        DateTime startDate = DateTime.Now;
        return Enumerable.Range(1, 15).Select(index => new WeatherForecast {
            Date = startDate.AddDays(index),
            TemperatureC = rng.Next(-20, 55),
        }).ToList();
    }

    public Task<WeatherForecast[]> GetForecastAsync(CancellationToken ct = default) {
        return Task.FromResult(Forecast.ToArray());
    }
}

public class Startup {
// ...
    public void ConfigureServices(IServiceCollection services) {
    // ...
        services.AddSingleton<WeatherForecastService>();
        // ...
    }
    // ...
}

Charts - Series point

Run Demo: Charts - Series Point Customization

Labels

Use the DxChartSeriesLabel component to show and configure labels for series data points. These settings apply to all labels in the series.

To override individual label settings, handle the chart’s CustomizeSeriesPoint event and use the event argument’s PointLabel property.

@inject WeatherForecastService ForecastService

<DxChart Data="@ChartData" CustomizeSeriesPoint="@PreparePointLabel">
    <DxChartLineSeries AggregationMethod="@(i => (int)i.Average())"
                       ValueField="@((WeatherForecast i) => i.TemperatureF)"
                       ArgumentField="@(i => i.Date.Date)"
                       Name="Temperature, F">
        <DxChartSeriesLabel Position="RelativePosition.Outside">
            <DxChartSeriesLabelConnector Visible="true" Width="3" />
        </DxChartSeriesLabel>
    </DxChartLineSeries>
</DxChart>

@code {
    WeatherForecast[] ChartData;

    protected override async Task OnInitializedAsync() {
        ChartData = await ForecastService.GetForecastAsync();
    }

    protected void PreparePointLabel(ChartSeriesPointCustomizationSettings pointSettings) {
        double value = (double)pointSettings.Point.Value;
        if (value > 25 && value < 75)
            pointSettings.PointLabel.Visible = true;
    }
}

using System;

public class WeatherForecast {
    public DateTime Date { get; set; }
    public int TemperatureC { get; set; }
    public double TemperatureF => Math.Round((TemperatureC * 1.8 + 32), 2);
}

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

public class WeatherForecastService {
    private List<WeatherForecast> Forecast { get; set; }

    public WeatherForecastService() {
        Forecast = CreateForecast();
    }

    private List<WeatherForecast> CreateForecast() {
        var rng = new Random();
        DateTime startDate = DateTime.Now;
        return Enumerable.Range(1, 15).Select(index => new WeatherForecast {
            Date = startDate.AddDays(index),
            TemperatureC = rng.Next(-20, 55),
        }).ToList();
    }

    public Task<WeatherForecast[]> GetForecastAsync(CancellationToken ct = default) {
        return Task.FromResult(Forecast.ToArray());
    }
}

public class Startup {
// ...
    public void ConfigureServices(IServiceCollection services) {
    // ...
        services.AddSingleton<WeatherForecastService>();
        // ...
    }
    // ...
}

Chart Series Labels

Run Demo: Charts - Series Label Customization

Use the LabelOverlap property to specify how the chart resolves overlapping labels.

The code below hides overlapping point labels.

<DxChart Data="@SalesData" LabelOverlap="ChartLabelOverlap.Hide">
    @*...*@
</DxChart>

Charts - Label overlap

Run Demo: Charts - Dynamic Series

Axes

Primary X and Y axes are automatically created based on the first series’ data type. The DxChartArgumentAxis class defines the X-axis, and the DxChartValueAxis class defines the Y-axis. Use the Position property to specify the Y-axis position. The DxChartAxisTitle object specifies the axis title.

Axis labels are displayed on the chart’s X-axis. The <DxChart> uses smart label management to ensure that labels do not overlap and are displayed correctly. The Format property specifies the axis label’s format.

If the data range or format is series-specific, each series can use its own Y-axis. The number of Y-axes in a chart is not limited.

<DxChart Data="@SalesData">
    <DxChartTitle Text="Sales amount" />
    <DxChartLegend Position="RelativePosition.Outside" />
    <DxChartValueAxis>
        <DxChartAxisLabel Format="ChartElementFormat.Percent()"></DxChartAxisLabel>
        <DxChartAxisTitle Text="Amount"></DxChartAxisTitle>
    </DxChartValueAxis>
    <DxChartValueAxis Name="TotalAxis" Position="HorizontalEdge.Right">
        <DxChartAxisTitle Text="Total Amount"></DxChartAxisTitle>
    </DxChartValueAxis>
    <DxChartArgumentAxis>
        <DxChartAxisTitle Text="Cities"></DxChartAxisTitle>
    </DxChartArgumentAxis>
    @* ... *@
</DxChart>

Charts Two Value Axes

You can also customize the axes in the following ways:

Define the visual range. Use the DxChartAxisRange object.
Swap the axes to display the X-axis vertically and the Y-axis horizontally. Use the DxChart.Rotated property.
Change the type of X and Y axes. Use the DxChartArgumentAxis.Type and DxChartAxis.Type properties.
Cut a part of an axis. Use the DxChartScaleBreak component.
Mark an individual axis value. Use the DxChartConstantLine object.

Run Demo: Charts - Multiple Axes

Run Demo: Charts - Rotation

Run Demo: Charts - Axis Types

Legend

A chart’s legend lists all chart series. The DxChartLegend component implements the chart legend. Use the Visible property and series’ Name property to specify the legend’s visibility and text, and the Position property to specify the legend’s position.

Enable the AllowToggleSeries property to display checkboxes that toggle the visibility of individual series.

<DxChart Data="@SalesData">
    <DxChartLegend AllowToggleSeries="true" 
                   Orientation="Orientation.Vertical" 
                   HorizontalAlignment="HorizontalAlignment.Right">
        <DxChartTitle Text="Years">
            <DxChartSubTitle Text="(2017-2019)"></DxChartSubTitle>
        </DxChartTitle>
    </DxChartLegend>
    <DxChartBarSeries Name="2017" ... />
    <DxChartBarSeries Name="2018" ... />
    <DxChartLineSeries Name="2019" ... />
        <DxChartSeriesLegendItem IconCssClass="oi oi-flag">
            <TextTemplate>Last year</TextTemplate>
        </DxChartSeriesLegendItem>
    </DxChartLineSeries>
</DxChart>

Chart Legend

Run Demo: Charts - Legend Customization

Titles and Subtitles

The <DxChart> component can display chart/legend titles (DxChartTitle) and subtitles (DxChartSubTitle).

<DxChart Data="@SalesData">
   <DxChartTitle Text="Sales amount">
       <DxChartSubTitle Text="by cities"></DxChartSubTitle>
   </DxChartTitle>
    <DxChartLegend AllowToggleSeries="true" 
                   Orientation="Orientation.Vertical" 
                   HorizontalAlignment="HorizontalAlignment.Right">
        <DxChartTitle Text="Years">
            <DxChartSubtitle Text="(2017-2019)"></DxChartSubtitle>
        </DxChartTitle>
    </DxChartLegend>
</DxChart>

Chart Titles and Subtitles

Run Demo: Charts - Legend Customization

Tooltips

DxChartTooltip specifies tooltip templates. Tooltips are displayed when the mouse pointer is above a chart series.

An instance of this class consists of the following properties:

Enabled - Specifies whether tooltips are enabled. Set this property to true to display tooltips.
Position - Specifies the tooltip position.

<DxChart Data="@SalesData"
         CssClass="mw-1100">
    <DxChartTitle Text="Sales amount" />

    <DxChartTooltip Enabled="true" Position="RelativePosition.Outside">
        <div style="margin: 0.75rem">
            <div class="font-weight-bold">@context.Point.SeriesName</div>
            <div>City: @context.Point.Argument</div>
            <div>Amount: @context.Point.Value</div>
        </div>
    </DxChartTooltip>

    <DxChartBarSeries Name="2017" 
                      Filter="@((SaleInfo s) => s.Date.Year == 2017)" 
                      SummaryMethod="Enumerable.Sum" 
                      ArgumentField="@(s => s.City)"
                      ValueField="@(s => s.Amount)" />
    <DxChartBarSeries Name="2018" 
                      Filter="@((SaleInfo s) => s.Date.Year == 2018)" 
                      SummaryMethod="Enumerable.Sum" 
                      ArgumentField="@(s => s.City)"
                      ValueField="@(s => s.Amount)" />
    <DxChartLineSeries Name="2019" 
                       Filter="@((SaleInfo s) => s.Date.Year == 2019)" 
                       SummaryMethod="Enumerable.Sum" 
                       ArgumentField="@(s => s.City)"
                       ValueField="@(s => s.Amount)" />
</DxChart>

Chart Tooltip Properties

Run Demo: Charts - Tooltip Customization

Grid Lines

The DxChartAxisGridLines object specifies Chart grid lines. To show/hide grid lines, use this axis’s Visible property.

The code below sets the argument axis’s Visible property to true to show vertical grid lines in the Chart component.

<DxChart Data="@forecasts">
    <DxChartBarSeries ArgumentField="@((WeatherForecast i) => i.Date)"
                      ValueField="@((WeatherForecast i) => i.Precipitation)"
                      Name="Precipitation">
        <DxChartSeriesLabel Visible="true">
            <DxChartSeriesLabelConnector Visible="true" Width="2" />
        </DxChartSeriesLabel>
    </DxChartBarSeries>
    <DxChartLineSeries ArgumentField="@((WeatherForecast i) => i.Date)"
                       ValueField="@((WeatherForecast i) => i.TemperatureC)"
                       Name="Temperature">
    </DxChartLineSeries>
    <DxChartArgumentAxis>
        <DxChartAxisGridLines Visible="true" />
    </DxChartArgumentAxis>
</DxChart>

Chart - Grid Lines

Zoom and Pan

Users can zoom and pan the chart with the mouse wheel or touch gestures. To enable zoom/pan, add a DxChartZoomAndPanSettings object and specify its ArgumentAxisZoomAndPanMode and ValueAxisZoomAndPanMode properties. To disable the mouse wheel or touch gestures, use the AllowMouseWheel / AllowTouchGestures properties.

You can also add a scroll bar that allows users to pan the chart along the argument axis. To do this, add a DxChartScrollBarSettings object and set its ArgumentAxisScrollBarVisible property to true. Use the ArgumentAxisScrollBarPosition property to specify the scroll bar’s position.

@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();
    }
}

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

Zoom and Pan

Run Demo: Charts - Zoom and Pan

When the chart contains the large number of points, you can aggregate data to optimize performance.

Data Aggregation

The <DxChart> component can use different aggregate methods to group data and decrease the number of visible points. This feature allows you to optimize chart performance.

Data aggregation is available for the X-axis. The chart splits the X-axis into intervals, aggregates data for each interval and shows the result values as series points. When users zoom the chart, it re-aggregates data.

Data Aggregation

To enable aggregation, add a DxChartAggregationSettings object to the markup and set its Enabled property to true. To specify an aggregation method, use the Method property (the default method is Auto).

Index.razor
BagrainDataPoint.cs

    <DxChart T="BargainDataPoint"
                Data="@UsdJpyData"
                @key="@Params.ThemeName"
                CssClass="w-100">
        <DxChartLegend Position="RelativePosition.Inside"
                        VerticalAlignment="VerticalEdge.Top"
                        HorizontalAlignment="HorizontalAlignment.Right" />
        <DxChartLineSeries T="BargainDataPoint"
                            TArgument="DateTime"
                            TValue="double"
                            ArgumentField="i => i.DateTimeStamp"
                            ValueField="i => i.Price"
                            Name="USDJPY">
            <DxChartSeriesPoint Visible="false" />
            <DxChartAggregationSettings Enabled="true" 
                                        Method="ChartAggregationMethod.Average" />
        </DxChartLineSeries>
        <DxChartArgumentAxis>
            <DxChartAxisRange StartValue="new DateTime(2020, 01, 01)"
                              EndValue="new DateTime(2021, 01, 29)" />
        </DxChartArgumentAxis>
        <DxChartZoomAndPanSettings ArgumentAxisZoomAndPanMode="ChartAxisZoomAndPanMode.Both" />
        <DxChartScrollBarSettings ArgumentAxisScrollBarVisible="true" 
                                  ArgumentAxisScrollBarPosition="ChartScrollBarPosition.Bottom" />
        <DxChartTooltip Enabled="true" Position="RelativePosition.Outside">
            <div style="margin: 0.75rem">
                <div class="font-weight-bold">@(((DateTime)context.Point.Argument).ToString("d"))</div>
                <div>1$ = @(context.Point.Value)¥</div>
            </div>
        </DxChartTooltip>
    </DxChart>

    @code {
        IEnumerable<BargainDataPoint> UsdJpyData;
        @inject ICurrencyExchangeDataProvider UsdJpyDataProvider

        protected override async Task OnInitializedAsync() {
            UsdJpyData = await UsdJpyDataProvider.GetDataAsync();
        }
    }

public class BargainDataPoint {
    public DateTime DateTimeStamp { get; }
    public double Price { get; }

    public BargainDataPoint(DateTime dateTimeStamp, double price) {
        DateTimeStamp = dateTimeStamp;
        Price = price;
    }
}

Data Aggregation

Run Demo: Chars — Zoom and Pan

Note

You can also use summary methods to optimize chart performance.

Data Summaries

The <DxChart> component can use a summary method to group data. This method calculates summaries for points with the same argument value, and the chart shows the resulting values as series points. This feature allows you to decrease the number of visible points and to optimize chart performance.

Note that the chart calculates summaries when it loads data and does not re-calculate them when users zoom the chart.

Data Summaries

You can specify a common summary method for all chart series (DxChartCommonSeries.SummaryMethod) or an individual method for each series (DxChartSeries.SummaryMethod).

@using Chart.Data

<DxChart Data="@SalesData">
    <DxChartAreaSeries Name="2017_Max"
                        Filter="@((SaleInfo s) => s.Date.Year == 2017)"
                        ArgumentField="@(s => s.City)"
                        ValueField="@(s => s.Amount)"
                        SummaryMethod="Enumerable.Max" />
    <DxChartLineSeries Name="2017_Sum"
                        Filter="@((SaleInfo s) => s.Date.Year == 2017)"
                        ArgumentField="@(s => s.City)"
                        ValueField="@(s => s.Amount)"
                        SummaryMethod="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")
            },
            // ...
    };
    }
}

Summary Methods

Note

You can also use aggregation methods to optimize chart performance.

Multiple Panes

The <DxChart> component allows you to create charts with multiple panes under each other. A pane (DxChartPane) can display one or more series and can share its argument axis with other panes. To specify the pane where a series is displayed, use the series Pane property.

<DxChart Data="@SalesData">
    <DxChartTitle Text="Sales amount" />
    <DxChartLegend Position="RelativePosition.Outside" VerticalAlignment="VerticalEdge.Bottom" />
    <DxChartPane Name="Pane1"></DxChartPane>
    <DxChartPane Name="Pane2"></DxChartPane>
    <DxChartBarSeries Name="2018" Filter="@((SaleInfo s) => s.Date.Year == 2018)" SummaryMethod="Enumerable.Sum" 
                      Pane="Pane1" ArgumentField="@(s => s.City)" ValueField="@(s => s.Amount)" />
    <DxChartBarSeries Name="2019" Filter="@((SaleInfo s) => s.Date.Year == 2019)" SummaryMethod="Enumerable.Sum" 
                      Pane="Pane2" ArgumentField="@(s => s.City)" ValueField="@(s => s.Amount)" />
</DxChart>

Chart Series Pane

Run Demo: Charts - Multiple Panes Customization

Size

Use the chart’s Width and Height properties to change the component’s size.

<DxChart Data="@forecasts" Width="800px" Height="400px">
    <DxChartBarSeries ArgumentField="@((WeatherForecast i) => i.Date)"
                      ValueField="@((WeatherForecast i) => i.Precipitation)"
                      Name="Precipitation">
    </DxChartBarSeries>
    <DxChartBarSeries ArgumentField="@((WeatherForecast i) => i.Date)"
                      ValueField="@((WeatherForecast i) => i.TemperatureC)"
                      Name="Temperature">
    </DxChartBarSeries>
</DxChart>

Chart size modification

Appearance Customization

Use the chart’s CssClass property to customize the chart’s appearance. The following snippet changes the chart’s background color and font size:

<style>
    .my-style {
        background-color: lavender;
        font-size: 16px;
    }
</style>

<DxChart Data="@SalesData" CssClass="my-style">
    <DxChartCommonSeries NameField="@((SaleInfo s) => s.Date.Year)"
                         ArgumentField="@(s => s.City)"
                         ValueField="@(s => s.Amount)"
                         SummaryMethod="Enumerable.Sum"
                         SeriesType="BarSeriesType.Value">
    </DxChartCommonSeries>
    <DxChartLegend Position="RelativePosition.Outside" HorizontalAlignment="HorizontalAlignment.Right" />
</DxChart>

Chart CSS Class

You can also apply CSS styles to chart elements:

For more information, refer to the following help topic: CSS Classes.

Visualize Pivot Grid Data

You can link <DxChart> to the DxPivotGrid<T> component as follows:

Create a method that asynchronously loads data from an IEnumerable<T> data source (Sales.Load() in this example).
Create a DxPivotGridDataProvider<T> object based on the created method.
Bind the Chart to the provider object. Use the ChartDataSource property.
Bind the Pivot Grid to the provider object. Use the PivotGridDataSource property.

<DxChart Data="@(PivotGridDataProvider.ChartDataSource)">
    <DxChartCommonSeries NameField="@((IChartDataItem s) => s.SeriesName)"
                         ArgumentField="@(s => s.Argument)"
                         ValueField="@(s => s.Value)"
                         SeriesType="ChartSeriesType.Bar" />
</DxChart>

<DxPivotGrid Data="@(PivotGridDataProvider.PivotGridDataSource)">
    <DxPivotGridField Field="@nameof(SaleInfo.Region)" SortOrder="PivotGridSortOrder.Ascending" 
        Area="PivotGridFieldArea.Row"></DxPivotGridField>
    <DxPivotGridField Field="@nameof(SaleInfo.Country)" Area="PivotGridFieldArea.Row"></DxPivotGridField>
    <DxPivotGridField Field="@nameof(SaleInfo.City)" Area="PivotGridFieldArea.Row"></DxPivotGridField>
    <DxPivotGridField Field="@nameof(SaleInfo.Date)" GroupInterval="PivotGridGroupInterval.Year" 
        Area="PivotGridFieldArea.Column" Caption="Year"> </DxPivotGridField>
    <DxPivotGridField Field="@nameof(SaleInfo.OrderId)" Caption="Count" Area="PivotGridFieldArea.Data" 
        SummaryType="PivotGridSummaryType.Count"> </DxPivotGridField>
</DxPivotGrid>

@code {
    DxPivotGridDataProvider<SaleInfo> PivotGridDataProvider = DxPivotGridDataProvider<SaleInfo>.Create(Sales.Load());
}

The Chart shows data from the Pivot Grid’s lowest expanded level. The Chart is updated when a user expands or collapses rows/columns in the Pivot Grid.

Linked PivotGrid And Chart