React Heatmap Chart With Contours Example

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

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drawExample.ts

index.tsx

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

React Heatmap Chart With Contours

Overview

This 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.

Technical Implementation

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.

Features and Capabilities

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.

Integration and Best Practices

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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