Our Contours Chart example demonstrates how to create a React Contour-map Chart using our powerful JavaScript Chart Library.
drawExample.ts
index.tsx
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 example demonstrates a highly dynamic React Contour-map Chart built with SciChart.js. It integrates a detailed heatmap visualization with overlaid contour lines, offering an interactive and visually appealing chart that leverages WebGL for optimal performance.
The chart is asynchronously initialized through the SciChartReact component in a React application. The example uses an asynchronous function to create a SciChartSurface, add hidden X and Y axes, and generate heatmap data via a custom data generator. Two distinct renderable series are implemented: one for the contours (using UniformContoursRenderableSeries) and a background heatmap (using UniformHeatmapRenderableSeries). Interaction is enhanced by adding modifiers such as ZoomPanModifier and MouseWheelZoomModifier, ensuring smooth navigation and zooming capabilities. Asynchronous patterns via async/await are employed, following best practices as seen in this discussion for clean and effective React integration.
The example showcases advanced visualization techniques by layering a heatmap with contours, enabling detailed data representation and analysis. It supports high-performant, real-time interactions with features like panning, zooming, and dynamic legend overlays. The use of WebGL via SciChart.js is a key factor in achieving excellent rendering performance, as further detailed in the React Charts page.
In this example, the separation of concerns is maintained by decoupling chart drawing logic from React component structure, enabling easier maintenance and customization. Multiple <SciChartReact/> components are integrated with precise absolute positioning for overlaying the heatmap legend, adhering to strategies for managing layered components in React. Developers can refer to the SciChart React setup tutorial for further insights on best practices. Overall, this implementation is optimized for performance and interactivity, making it a robust solution for complex data visualization scenarios in React applications.

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