Learn how to create a detailed Angular 3D Surface Mesh Chart using SciChart.js, and our High Performance JavaScript 3D Chart Library
drawExample.ts
angular.ts
theme.ts
1import {
2 CameraController,
3 EDrawMeshAs,
4 GradientColorPalette,
5 HeatmapLegend,
6 MouseWheelZoomModifier3D,
7 NumberRange,
8 NumericAxis3D,
9 OrbitModifier3D,
10 ResetCamera3DModifier,
11 SciChart3DSurface,
12 SurfaceMeshRenderableSeries3D,
13 TooltipModifier3D,
14 UniformGridDataSeries3D,
15 Vector3,
16 zeroArray2D,
17} from "scichart";
18import { appTheme } from "../../../theme";
19
20// SCICHART CODE
21
22export const drawExample = async (rootElement: string | HTMLDivElement) => {
23 // Create a SciChart3DSurface
24 const { sciChart3DSurface, wasmContext } = await SciChart3DSurface.create(rootElement, {
25 theme: appTheme.SciChartJsTheme,
26 });
27
28 // Create and position the camera in the 3D world
29 sciChart3DSurface.camera = new CameraController(wasmContext, {
30 position: new Vector3(-200, 150, 200),
31 target: new Vector3(0, 50, 0),
32 });
33 // Set the worlddimensions, which defines the Axis cube size
34 sciChart3DSurface.worldDimensions = new Vector3(200, 100, 200);
35
36 // Add an X,Y and Z Axis
37 sciChart3DSurface.xAxis = new NumericAxis3D(wasmContext, { axisTitle: "X Axis" });
38 sciChart3DSurface.yAxis = new NumericAxis3D(wasmContext, {
39 axisTitle: "Y Axis",
40 visibleRange: new NumberRange(0, 0.3),
41 });
42 sciChart3DSurface.zAxis = new NumericAxis3D(wasmContext, { axisTitle: "Z Axis" });
43
44 // Create a 2D array using the helper function zeroArray2D
45 // and fill this with data
46 const zSize = 25;
47 const xSize = 25;
48 const heightmapArray = zeroArray2D([zSize, xSize]);
49 for (let z = 0; z < zSize; z++) {
50 for (let x = 0; x < xSize; x++) {
51 const xVal = (x / xSize) * 25.0;
52 const zVal = (z / zSize) * 25.0;
53 const y = Math.sin(xVal * 0.2) / ((zVal + 1) * 2);
54 heightmapArray[z][x] = y;
55 }
56 }
57
58 // Create a UniformGridDataSeries3D
59 const dataSeries = new UniformGridDataSeries3D(wasmContext, {
60 yValues: heightmapArray,
61 xStep: 1,
62 zStep: 1,
63 dataSeriesName: "Uniform Surface Mesh",
64 });
65
66 // Create the color map
67 const colorMap = new GradientColorPalette(wasmContext, {
68 gradientStops: [
69 { offset: 1, color: appTheme.VividPink },
70 { offset: 0.9, color: appTheme.VividOrange },
71 { offset: 0.7, color: appTheme.MutedRed },
72 { offset: 0.5, color: appTheme.VividGreen },
73 { offset: 0.3, color: appTheme.VividSkyBlue },
74 { offset: 0.15, color: appTheme.Indigo },
75 { offset: 0, color: appTheme.DarkIndigo },
76 ],
77 });
78
79 // Finally, create a SurfaceMeshRenderableSeries3D and add to the chart
80 const series = new SurfaceMeshRenderableSeries3D(wasmContext, {
81 dataSeries,
82 minimum: 0,
83 maximum: 0.5,
84 opacity: 0.9,
85 cellHardnessFactor: 1.0,
86 shininess: 0,
87 lightingFactor: 0.0,
88 highlight: 1.0,
89 stroke: appTheme.VividBlue,
90 strokeThickness: 2.0,
91 contourStroke: appTheme.VividBlue,
92 contourInterval: 2,
93 contourOffset: 0,
94 contourStrokeThickness: 2,
95 drawSkirt: false,
96 drawMeshAs: EDrawMeshAs.SOLID_WIREFRAME,
97 meshColorPalette: colorMap,
98 isVisible: true,
99 });
100
101 sciChart3DSurface.renderableSeries.add(series);
102
103 // Optional: Add some interactivity modifiers
104 sciChart3DSurface.chartModifiers.add(new MouseWheelZoomModifier3D());
105 sciChart3DSurface.chartModifiers.add(new OrbitModifier3D());
106 sciChart3DSurface.chartModifiers.add(new ResetCamera3DModifier());
107 sciChart3DSurface.chartModifiers.add(new TooltipModifier3D({ tooltipContainerBackground: appTheme.PaleBlue }));
108
109 return { sciChartSurface: sciChart3DSurface, wasmContext };
110};
111
112export const drawHeatmapLegend = async (rootElement: string | HTMLDivElement) => {
113 const { heatmapLegend, wasmContext } = await HeatmapLegend.create(rootElement, {
114 theme: {
115 ...appTheme.SciChartJsTheme,
116 sciChartBackground: appTheme.DarkIndigo + "BB",
117 loadingAnimationBackground: appTheme.DarkIndigo + "BB",
118 },
119 yAxisOptions: {
120 isInnerAxis: true,
121 labelStyle: {
122 fontSize: 12,
123 color: appTheme.ForegroundColor,
124 },
125 axisBorder: {
126 borderRight: 1,
127 color: appTheme.ForegroundColor + "77",
128 },
129 majorTickLineStyle: {
130 color: appTheme.ForegroundColor,
131 tickSize: 6,
132 strokeThickness: 1,
133 },
134 minorTickLineStyle: {
135 color: appTheme.ForegroundColor,
136 tickSize: 3,
137 strokeThickness: 1,
138 },
139 },
140 colorMap: {
141 minimum: 0,
142 maximum: 0.5,
143 gradientStops: [
144 { offset: 1, color: appTheme.VividPink },
145 { offset: 0.9, color: appTheme.VividOrange },
146 { offset: 0.7, color: appTheme.MutedRed },
147 { offset: 0.5, color: appTheme.VividGreen },
148 { offset: 0.3, color: appTheme.VividSkyBlue },
149 { offset: 0.15, color: appTheme.Indigo },
150 { offset: 0, color: appTheme.DarkIndigo },
151 ],
152 },
153 });
154
155 return { sciChartSurface: heatmapLegend.innerSciChartSurface.sciChartSurface };
156};
157This example demonstrates how to create an interactive 3D Surface Mesh Chart using SciChart.js in an Angular application. The implementation leverages the Angular standalone component paradigm by integrating the ScichartAngularComponent and using Angular input binding patterns to initialize the chart with a custom draw function.
The chart is instantiated by creating a SciChart3DSurface within the Angular context. The component binds a custom draw function via the Angular property binding mechanism (Property binding - Angular) to the ScichartAngularComponent. The draw function sets up the scene by configuring the camera using the CameraController, defining world dimensions, and establishing numeric axes. A custom heightmap is generated using a mathematical sine function, which is then visualized through a uniform grid data series and rendered as a surface mesh by the SurfaceMeshRenderableSeries3D. The example also incorporates WebAssembly-based rendering for optimal performance, as detailed in the JavaScript 3D Surface Mesh Chart - SciChart documentation.
The example offers advanced technical features including real-time interactivity with modifiers such as MouseWheelZoomModifier3D, OrbitModifier3D, ResetCamera3DModifier, and TooltipModifier3D. These interactive controls enhance user engagement by facilitating dynamic zoom, pan, and tooltip-based data exploration. Additionally, developers can customize the visual appearance of the chart using a GradientColorPalette to define a detailed color mapping on the mesh.
Integrating SciChart.js within an Angular application is streamlined by using function binding as an input property, which enhances modularity and simplicity. The chart initialization follows best practices, as seen in the implementation of dependency injection for third-party libraries in Angular (How to integrate third party libraries and widgets into Angular). Moreover, performance optimizations are achieved by leveraging WebAssembly, ensuring that high rendering performance is maintained even with complex 3D visualizations (SciChart.js Performance Demo: 1 Million Datapoints in under 15ms). This tightly integrated approach ensures that developers can deliver customized, high-performance 3D charts in Angular while following modern software practices.

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