JavaScript Heatmap Chart With Contours Example

Our Contours Chart example demonstrates how to create a JavaScript Contour-map Chart using our powerful JavaScript Chart Library.

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drawExample.ts

index.html

vanilla.ts

theme.ts

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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}
156

Contours Chart Example - JavaScript

Overview

This example demonstrates how to create an interactive heatmap chart with contours using SciChart.js in JavaScript. It renders a vivid heatmap background combined with overlaid contour lines, providing a powerful visualization tool for data analysis.

Technical Implementation

The chart is initialized asynchronously using async/await, ensuring a smooth startup process. For more information on asynchronous initialization in JavaScript, refer to Async and Await in JavaScript and How to use async and await with JavaScript. The implementation sets up hidden numeric X and Y axes and creates a data series using a custom generator. Two main renderable series are used: the UniformHeatmapRenderableSeries for the heatmap and the UniformContoursRenderableSeries for the contours. Detailed information about the contours series can be found in the Contours Series documentation.

Features and Capabilities

The example supports advanced interactive features. Chart navigation is enhanced with modifiers such as ZoomPanModifier, ZoomExtentsModifier, and MouseWheelZoomModifier; further details are available in the Tutorial 03 - Adding Zooming, Panning Behavior. Additionally, a dynamic color mapping is applied via the HeatmapColorMap with multiple gradient stops, and the layered rendering of heatmap and contour series creates a comprehensive visualization platform.

Integration and Best Practices

The implementation follows best practices by separating data generation from rendering logic, which promotes maintainability and scalability. The use of WebGL rendering in SciChart.js guarantees high performance, as described in the Advanced JavaScript Chart and Graph Library page. This example, built purely with JavaScript, serves as a solid foundation for developers looking to create high-performance, interactive charts without relying on additional frameworks.

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