Angular Quadrant Chart using Background Annotations

Demonstrates how to color areas of the chart surface using background Annotations using SciChart.js, High Performance JavaScript Charts

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drawExample.ts

angular.ts

theme.ts

data.ts

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1import { appTheme } from "../../../theme";
2import { happinessData } from "./data";
3import {
4    SciChartSurface,
5    NumericAxis,
6    NumberRange,
7    ZoomPanModifier,
8    BoxAnnotation,
9    TextAnnotation,
10    EAnnotationLayer,
11    NativeTextAnnotation,
12    EAxisAlignment,
13    MouseWheelZoomModifier,
14    FastBubbleRenderableSeries,
15    XyzDataSeries,
16    IPointMetadata,
17    ZoomExtentsModifier,
18    EllipsePointMarker,
19    CursorModifier,
20    LogarithmicAxis,
21    ENumericFormat,
22    DefaultPaletteProvider,
23    TPointMarkerArgb,
24    parseColorToUIntArgb,
25    EHorizontalTextPosition,
26    EVerticalTextPosition,
27    SeriesInfo,
28    XyzSeriesInfo,
29    SweepAnimation,
30    ECoordinateMode,
31    EVerticalAnchorPoint,
32    SciChartLegend,
33    ManualLegend,
34} from "scichart";
35
36class ContinentPaletteProvider extends DefaultPaletteProvider {
37    Europe = parseColorToUIntArgb(appTheme.VividBlue);
38    Asia = parseColorToUIntArgb(appTheme.VividPurple);
39    NorthAmerica = parseColorToUIntArgb(appTheme.VividPink);
40    Oceania = parseColorToUIntArgb(appTheme.VividTeal);
41    SouthAmerica = parseColorToUIntArgb(appTheme.VividGreen);
42    Africa = parseColorToUIntArgb(appTheme.VividOrange);
43
44    override overridePointMarkerArgb(
45        xValue: number,
46        yValue: number,
47        index: number,
48        opacity?: number,
49        metadata?: IPointMetadata
50    ): TPointMarkerArgb {
51        let fill: number;
52        // @ts-ignore
53        switch (metadata.continent) {
54            case "Europe":
55                fill = this.Europe;
56                break;
57            case "Asia":
58                fill = this.Asia;
59                break;
60            case "North America":
61                fill = this.NorthAmerica;
62                break;
63            case "Oceania":
64                fill = this.Oceania;
65                break;
66            case "South America":
67                fill = this.SouthAmerica;
68                break;
69            case "Africa":
70                fill = this.Africa;
71                break;
72            default:
73                break;
74        }
75        return { fill, stroke: undefined };
76    }
77}
78
79export const drawExample = async (rootElement: string | HTMLDivElement) => {
80    // Create a SciChartSurface
81    const { sciChartSurface, wasmContext } = await SciChartSurface.create(rootElement, {
82        theme: appTheme.SciChartJsTheme,
83        title: "Happiness vs GDP",
84        titleStyle: { fontSize: 20 },
85    });
86
87    // Create an XAxis and YAxis
88    const xAxis = new LogarithmicAxis(wasmContext, {
89        growBy: new NumberRange(0.1, 0.1),
90        labelPrefix: "$",
91        labelFormat: ENumericFormat.SignificantFigures,
92        labelPrecision: 2,
93        cursorLabelFormat: ENumericFormat.Decimal,
94        logBase: 10,
95        drawMinorGridLines: false,
96        axisTitle: "GDP per Capita",
97        axisTitleStyle: { fontSize: 16 },
98    });
99    sciChartSurface.xAxes.add(xAxis);
100
101    const yAxis = new NumericAxis(wasmContext, {
102        growBy: new NumberRange(0.1, 0.1),
103        axisAlignment: EAxisAlignment.Left,
104        drawMinorGridLines: false,
105        axisTitle: "Happiness",
106        axisTitleStyle: { fontSize: 16 },
107    });
108    sciChartSurface.yAxes.add(yAxis);
109
110    // Optional: Add some interactivity modifiers
111    sciChartSurface.chartModifiers.add(
112        new ZoomPanModifier({ enableZoom: true }),
113        new MouseWheelZoomModifier(),
114        new ZoomExtentsModifier(),
115        new CursorModifier({
116            showTooltip: true,
117            hitTestRadius: 1,
118            tooltipContainerBackground: appTheme.MutedRed,
119            showAxisLabels: false,
120            showXLine: false,
121            showYLine: false,
122            tooltipDataTemplate: (seriesInfos: SeriesInfo[], tooltipTitle: string) => {
123                const valuesWithLabels: string[] = [];
124                const xyzSeriesInfo = seriesInfos[0] as XyzSeriesInfo;
125                if (xyzSeriesInfo?.isHit) {
126                    // @ts-ignore
127                    valuesWithLabels.push(`${xyzSeriesInfo.pointMetadata.name}`);
128                    valuesWithLabels.push(`GDP: ${xyzSeriesInfo.formattedXValue}`);
129                    valuesWithLabels.push(`Happiness: ${xyzSeriesInfo.formattedYValue}`);
130                    valuesWithLabels.push(`Population: ${xyzSeriesInfo.formattedZValue}`);
131                }
132                return valuesWithLabels;
133            },
134        })
135    );
136
137    // These boxes are set up so that x1,y1 is the outer corner and x2,y2 is the centre of the data
138    const x2 = 10000;
139    const y2 = 5;
140    const box1 = new BoxAnnotation({
141        annotationLayer: EAnnotationLayer.Background,
142        fill: appTheme.PaleBlue,
143        strokeThickness: 0,
144        x1: -10,
145        x2,
146        y1: 10,
147        y2,
148    });
149    const box2 = new BoxAnnotation({
150        annotationLayer: EAnnotationLayer.Background,
151        fill: appTheme.PalePurple,
152        strokeThickness: 0,
153        x1: 10,
154        x2,
155        y1: 10,
156        y2,
157    });
158    const box3 = new BoxAnnotation({
159        annotationLayer: EAnnotationLayer.Background,
160        fill: appTheme.PalePink,
161        strokeThickness: 0,
162        x1: -10,
163        x2,
164        y1: -10,
165        y2,
166    });
167    const box4 = new BoxAnnotation({
168        annotationLayer: EAnnotationLayer.Background,
169        fill: appTheme.PaleTeal,
170        strokeThickness: 0,
171        x1: 10,
172        x2,
173        y1: -10,
174        y2,
175    });
176
177    // update the outer corners of each box before the chart draws so that they always fill the plane
178    sciChartSurface.preRender.subscribe((data) => {
179        box1.x1 = xAxis.visibleRange.min;
180        box2.x1 = xAxis.visibleRange.max;
181        box3.x1 = xAxis.visibleRange.min;
182        box4.x1 = xAxis.visibleRange.max;
183        box1.y1 = yAxis.visibleRange.min;
184        box2.y1 = yAxis.visibleRange.min;
185        box3.y1 = yAxis.visibleRange.max;
186        box4.y1 = yAxis.visibleRange.max;
187    });
188    sciChartSurface.annotations.add(box1, box2, box3, box4);
189    const xValues: number[] = [];
190    const yValues: number[] = [];
191    const zValues: number[] = [];
192    const metadata: any[] = [];
193    for (const item of happinessData) {
194        xValues.push(parseFloat(item.GDP));
195        yValues.push(parseFloat(item.Happiness));
196        zValues.push((Math.log2(parseInt(item.Population)) - 18) * 5);
197        //console.log(item.Entity, parseFloat(item.GDP), parseFloat(item.Happiness));
198        metadata.push({ isSelected: false, name: item.Entity, continent: item.Continent });
199    }
200    const dataSeries = new XyzDataSeries(wasmContext, { xValues, yValues, zValues, metadata });
201    const series = new FastBubbleRenderableSeries(wasmContext, {
202        dataSeries,
203        paletteProvider: new ContinentPaletteProvider(),
204        pointMarker: new EllipsePointMarker(wasmContext, {
205            width: 64,
206            height: 64,
207            opacity: 0.6,
208        }),
209        dataLabels: {
210            color: "#000000C0",
211            style: {
212                fontFamily: "Arial",
213                fontSize: 14,
214            },
215            horizontalTextPosition: EHorizontalTextPosition.Center,
216            verticalTextPosition: EVerticalTextPosition.Below,
217            metaDataSelector: (metadata) => (metadata as any).name,
218        },
219        animation: new SweepAnimation({ duration: 2000 }),
220    });
221    sciChartSurface.renderableSeries.add(series);
222
223    const legend = new ManualLegend(
224        {
225            textColor: "black",
226            backgroundColor: "#E0E0E077",
227            items: [
228                {
229                    name: "Bubble size represents population",
230                    color: "transparent",
231                    id: "pop",
232                    checked: false,
233                    showMarker: false,
234                },
235                {
236                    name: "Bubble color indicates continent",
237                    color: "transparent",
238                    id: "col",
239                    checked: false,
240                    showMarker: false,
241                },
242                { name: "Europe", color: appTheme.VividBlue, id: "Europe", checked: false },
243                { name: "Asia", color: appTheme.VividPurple, id: "Asia", checked: false },
244                { name: "North America", color: appTheme.VividPink, id: "NorthAmerica", checked: false },
245                { name: "South America", color: appTheme.VividGreen, id: "SouthAmerica", checked: false },
246                { name: "Oceania", color: appTheme.VividBlue, id: "VividTeal", checked: false },
247                { name: "Africa", color: appTheme.VividOrange, id: "Africa", checked: false },
248            ],
249        },
250        sciChartSurface
251    );
252
253    sciChartSurface.zoomExtents();
254    return { sciChartSurface, wasmContext };
255};
256

Angular Quadrant Chart using Background Annotations

Overview

This example demonstrates how to create a high-performance bubble chart using SciChart.js in an Angular application. The chart visualizes GDP per capita versus happiness, with bubble sizes corresponding to a logarithmic transformation of population data, and utilizes dynamic background annotations to highlight chart quadrants. The integration is achieved using the scichart-angular component, as described in the scichart-angular npm page.

Technical Implementation

The chart is implemented by creating a SciChartSurface with a LogarithmicAxis for the X-axis and a NumericAxis for the Y-axis. Dynamic background annotations are set up using multiple BoxAnnotations that update during the preRender event, ensuring they always cover the visible data area. Additionally, a custom palette provider named ContinentPaletteProvider assigns colors to bubbles (FastBubbleRenderableSeries) based on continent metadata, following guidelines in the PaletteProvider API documentation. Interactive modifiers such as ZoomPanModifier, MouseWheelZoomModifier, and CursorModifier are incorporated to provide smooth zooming, panning, and custom tooltips, details of which can be explored in the Adding Zooming, Panning Behavior tutorial. Data binding is achieved through the XyzDataSeries, ensuring a robust and efficient rendering of real-time data updates.

Features and Capabilities

This example showcases real-time update capabilities with smooth animations using SweepAnimation for the bubble renderable series. It includes advanced features such as dynamic quadrant highlighting via BoxAnnotations, custom tooltips that display detailed data on GDP, happiness, and population, and a manual legend that explains the visual mapping of continents to bubble colors. These features emphasize the flexibility of SciChart.js when used within an Angular framework.

Integration and Best Practices

The Angular integration leverages component-based patterns to render charts efficiently using the ScichartAngularComponent. The use of event handling mechanisms, such as the preRender update for annotations, demonstrates an effective approach to dynamic data visualization. Developers can further enhance these implementations by following performance optimization tips and using best practices for interactive chart modifiers. This example serves as a practical guide for integrating SciChart.js in Angular applications and achieving high-performance, interactive data visualizations.

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