Our Contours Chart example demonstrates how to create a Angular Contour-map Chart using our powerful JavaScript Chart Library.
drawExample.ts
angular.ts
theme.ts
1import {
2 HeatmapColorMap,
3 HeatmapLegend,
4 MouseWheelZoomModifier,
5 NumericAxis,
6 SciChartSurface,
7 UniformContoursRenderableSeries,
8 UniformHeatmapDataSeries,
9 UniformHeatmapRenderableSeries,
10 zeroArray2D,
11 ZoomExtentsModifier,
12 ZoomPanModifier,
13} from "scichart";
14import { appTheme } from "../../../theme";
15
16export const drawExample = async (rootElement: string | HTMLDivElement) => {
17 // Create a SciChartSurface
18 const { sciChartSurface, wasmContext } = await SciChartSurface.create(rootElement, {
19 theme: appTheme.SciChartJsTheme,
20 });
21
22 // Create an X & Y Axis
23 sciChartSurface.xAxes.add(new NumericAxis(wasmContext, { isVisible: false }));
24 sciChartSurface.yAxes.add(new NumericAxis(wasmContext, { isVisible: false }));
25
26 const heatmapWidth = 300;
27 const heatmapHeight = 200;
28
29 const colorPaletteMin = 0;
30 const colorPaletteMax = 200;
31
32 // Create a Heatmap Data-series. Pass heatValues as a number[][] to the UniformHeatmapDataSeries
33 const initialZValues = generateExampleData(3, heatmapWidth, heatmapHeight, colorPaletteMax);
34 const heatmapDataSeries = new UniformHeatmapDataSeries(wasmContext, {
35 zValues: initialZValues,
36 xStart: 0,
37 xStep: 1,
38 yStart: 0,
39 yStep: 1,
40 });
41
42 // Add the contours series and add to the chart
43 sciChartSurface.renderableSeries.add(
44 new UniformContoursRenderableSeries(wasmContext, {
45 dataSeries: heatmapDataSeries,
46 zMin: 20,
47 zMax: colorPaletteMax,
48 zStep: 20,
49 zOffset: 1,
50 strokeThickness: 1,
51 stroke: appTheme.PaleSkyBlue,
52 })
53 );
54
55 // Create a background heatmap series with the same data and add to the chart
56 sciChartSurface.renderableSeries.add(
57 new UniformHeatmapRenderableSeries(wasmContext, {
58 dataSeries: heatmapDataSeries,
59 useLinearTextureFiltering: false,
60 opacity: 0.5,
61 colorMap: new HeatmapColorMap({
62 minimum: colorPaletteMin,
63 maximum: colorPaletteMax,
64 gradientStops: [
65 { offset: 1, color: appTheme.VividPink },
66 { offset: 0.9, color: appTheme.VividOrange },
67 { offset: 0.7, color: appTheme.MutedRed },
68 { offset: 0.5, color: appTheme.VividGreen },
69 { offset: 0.3, color: appTheme.VividSkyBlue },
70 { offset: 0.2, color: appTheme.Indigo },
71 { offset: 0, color: appTheme.DarkIndigo },
72 ],
73 }),
74 })
75 );
76
77 // Add interaction
78 sciChartSurface.chartModifiers.add(new ZoomPanModifier({ enableZoom: true }));
79 sciChartSurface.chartModifiers.add(new ZoomExtentsModifier());
80 sciChartSurface.chartModifiers.add(new MouseWheelZoomModifier());
81
82 return { sciChartSurface };
83};
84
85export const drawHeatmapLegend = async (rootElement: string | HTMLDivElement) => {
86 const { heatmapLegend, wasmContext } = await HeatmapLegend.create(rootElement, {
87 theme: {
88 ...appTheme.SciChartJsTheme,
89 sciChartBackground: appTheme.DarkIndigo + "BB",
90 loadingAnimationBackground: appTheme.DarkIndigo + "BB",
91 },
92 yAxisOptions: {
93 isInnerAxis: true,
94 labelStyle: {
95 fontSize: 12,
96 color: appTheme.ForegroundColor,
97 },
98 axisBorder: {
99 borderRight: 1,
100 color: appTheme.ForegroundColor + "77",
101 },
102 majorTickLineStyle: {
103 color: appTheme.ForegroundColor,
104 tickSize: 6,
105 strokeThickness: 1,
106 },
107 minorTickLineStyle: {
108 color: appTheme.ForegroundColor,
109 tickSize: 3,
110 strokeThickness: 1,
111 },
112 },
113 colorMap: {
114 minimum: 0,
115 maximum: 200,
116 gradientStops: [
117 { offset: 1, color: appTheme.VividPink },
118 { offset: 0.9, color: appTheme.VividOrange },
119 { offset: 0.7, color: appTheme.MutedRed },
120 { offset: 0.5, color: appTheme.VividGreen },
121 { offset: 0.3, color: appTheme.VividSkyBlue },
122 { offset: 0.2, color: appTheme.Indigo },
123 { offset: 0, color: appTheme.DarkIndigo },
124 ],
125 },
126 });
127
128 return { sciChartSurface: heatmapLegend.innerSciChartSurface.sciChartSurface };
129};
130
131// This function generates data for the heatmap with contours series example
132function generateExampleData(index: number, heatmapWidth: number, heatmapHeight: number, colorPaletteMax: number) {
133 const zValues = zeroArray2D([heatmapHeight, heatmapWidth]);
134
135 const angle = (Math.PI * 2 * index) / 30;
136 let smallValue = 0;
137 for (let x = 0; x < heatmapWidth; x++) {
138 for (let y = 0; y < heatmapHeight; y++) {
139 const v =
140 (1 + Math.sin(x * 0.04 + angle)) * 50 +
141 (1 + Math.sin(y * 0.1 + angle)) * 50 * (1 + Math.sin(angle * 2));
142 const cx = heatmapWidth / 2;
143 const cy = heatmapHeight / 2;
144 const r = Math.sqrt((x - cx) * (x - cx) + (y - cy) * (y - cy));
145 const exp = Math.max(0, 1 - r * 0.008);
146 const zValue = v * exp;
147 zValues[y][x] = zValue > colorPaletteMax ? colorPaletteMax : zValue;
148 zValues[y][x] += smallValue;
149 }
150
151 smallValue += 0.001;
152 }
153
154 return zValues;
155}
156This Angular example demonstrates how to render an interactive heatmap chart overlaid with contour lines using SciChart.js. The implementation leverages the scichart-angular package to integrate the chart into a standalone Angular component, ensuring a seamless integration within Angular applications.
The chart is initialized asynchronously using the async/await pattern as shown in the example. The SciChartSurface is created with hidden numeric X and Y axes, and a custom data generator produces the heatmap values. Two renderable series are used: one for the contour layer implemented with the UniformContoursRenderableSeries and another for the background heatmap provided by the UniformHeatmapRenderableSeries. Detailed documentation for these series can be found in the Contours Series documentation. Chart interactions are enhanced by integrating modifiers such as ZoomPanModifier, ZoomExtentsModifier, and MouseWheelZoomModifier as described in the Tutorial 03 - Adding Zooming, Panning Behavior.
The example showcases real-time interactive features including seamless panning and zooming while rendering detailed heatmap and contour overlays. Customization options such as adjustable color maps, opacity settings, and precise stroke definitions enable advanced data visualization and analysis. Developers can easily update the configuration to handle dynamic data sets, ensuring robust visualization performance.
The Angular integration is achieved using standalone component bindings from the scichart-angular package; more details can be found in the scichart-angular npm page and Angular binding guides. Efficient asynchronous initialization and modular design separate chart rendering logic from the Angular component, thereby enhancing maintainability and scalability. Additional chart elements like the HeatmapLegend are configured independently to further enrich the user experience, as explained in the HeatmapLegend API Documentation.

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