Angular Heatmap Chart With Contours Example

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

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drawExample.ts

angular.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

Angular Heatmap Chart With Contours

Overview

This 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.

Technical Implementation

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.

Features and Capabilities

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.

Integration and Best Practices

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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