React Point Line 3D Chart

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199

import { Radix2FFT } from "./Radix2FFT";
import {
    CameraController,
    HeatmapLegend,
    MouseWheelZoomModifier3D,
    NumericAxis3D,
    OrbitModifier3D,
    parseColorToUIntArgb,
    PointLineRenderableSeries3D,
    ResetCamera3DModifier,
    SciChart3DSurface,
    TGradientStop,
    Vector3,
    XyzDataSeries3D,
} from "scichart";
import { appTheme } from "./appTheme";

type TMetadata = {
    vertexColor: number;
    pointScale: number;
};

// This function generates some spectral data for the waterfall chart
const createSpectralData = (n: number) => {
    const spectraSize = 1024;
    const timeData = new Array(spectraSize);

    // Generate some random data with spectral components
    for (let i = 0; i < spectraSize; i++) {
        timeData[i] =
            4.0 * Math.sin((2 * Math.PI * i) / (20 + n * 0.2)) +
            10 * Math.sin((2 * Math.PI * i) / (10 + n * 0.01)) +
            20 * Math.sin((2 * Math.PI * i) / (5 + n * -0.002)) +
            3.0 * Math.random();
    }

    // Do a fourier-transform on the data to get the frequency domain
    const transform = new Radix2FFT(spectraSize);
    const yValues = transform.run(timeData);
    // .slice(0, 300); // We only want the first N points just to make the example cleaner

    // This is just setting a floor to make the data cleaner for the example
    for (let i = 0; i < yValues.length; i++) {
        yValues[i] =
            yValues[i] < -30 || yValues[i] > -5 ? (yValues[i] < -30 ? -30 : Math.random() * 9 - 6) : yValues[i];
    }
    yValues[0] = -30;

    // we need x-values (sequential numbers) for the frequency data
    const xValues = yValues.map((value, index) => index);

    return { xValues, yValues };
};

// SCICHART CODE
export const drawExample = async (rootElement: string | HTMLDivElement) => {
    const { sciChart3DSurface, wasmContext } = await SciChart3DSurface.create(rootElement, {
        theme: appTheme.SciChartJsTheme,
    });
    sciChart3DSurface.worldDimensions = new Vector3(300, 100, 300);
    sciChart3DSurface.camera = new CameraController(wasmContext, {
        position: new Vector3(-141.6, 310.29, 393.32),
        target: new Vector3(0, 50, 0),
    });

    sciChart3DSurface.chartModifiers.add(new MouseWheelZoomModifier3D());
    sciChart3DSurface.chartModifiers.add(new OrbitModifier3D());
    sciChart3DSurface.chartModifiers.add(new ResetCamera3DModifier());

    sciChart3DSurface.xAxis = new NumericAxis3D(wasmContext, {
        axisTitle: "Frequency (Hz)",
        drawMinorGridLines: false,
        drawMajorGridLines: false,
        tickLabelsOffset: 20,
    });
    sciChart3DSurface.yAxis = new NumericAxis3D(wasmContext, {
        axisTitle: "Power (dB)",
        drawMinorGridLines: false,
        drawMajorGridLines: false,
        tickLabelsOffset: 20,
    });
    sciChart3DSurface.zAxis = new NumericAxis3D(wasmContext, {
        axisTitle: "Time (s)",
        drawMinorGridLines: false,
        drawMajorGridLines: false,
        tickLabelsOffset: 20,
    });

    for (let i = 0; i < 50; i++) {
        // Create some data for the example
        // xValues are frequency values (Hz)
        // yValues are heights or magnitude
        const { xValues, yValues } = createSpectralData(i);
        // zValues are the 3rd dimension where we will spread out our series in time
        const zValues = Array.from({ length: xValues.length }).map((_) => i * 2);

        // Metadata in scichart.js 3D controls color 3D line series. It can also hold additional optional properties
        // Below we format the data for yValues into metadata colour coded and scaled depending on the value
        const metadata = formatMetadata(yValues, [
            { offset: 1, color: appTheme.VividPink },
            { offset: 0.9, color: appTheme.VividOrange },
            { offset: 0.7, color: appTheme.MutedRed },
            { offset: 0.5, color: appTheme.VividGreen },
            { offset: 0.3, color: appTheme.VividSkyBlue },
            { offset: 0.2, color: appTheme.Indigo },
            { offset: 0, color: appTheme.DarkIndigo },
        ]);

        // Add a 3D Point-Line chart
        sciChart3DSurface.renderableSeries.add(
            new PointLineRenderableSeries3D(wasmContext, {
                dataSeries: new XyzDataSeries3D(wasmContext, {
                    xValues,
                    yValues,
                    zValues,
                    metadata,
                }),
                strokeThickness: 3,
                opacity: 0.5,
            })
        );
    }

    return { sciChartSurface: sciChart3DSurface, wasmContext };
};

function formatMetadata(valuesArray: number[], gradientStops: TGradientStop[]): TMetadata[] {
    const low = Math.min(...valuesArray);
    const high = Math.max(...valuesArray);

    const sGradientStops = gradientStops.sort((a, b) => (a.offset > b.offset ? 1 : -1));
    // Compute a scaling factor from 0...1 where values in valuesArray at the lower end correspond to 0 and
    // values at the higher end correspond to 1
    return valuesArray.map((x) => {
        // scale from 0..1 for the values
        const valueScale = (x - low) / (high - low);
        // Find the nearest gradient stop index
        const index = sGradientStops.findIndex((gs) => gs.offset >= valueScale);
        // const nextIndex = Math.min(index + 1, sGradientStops.length - 1);
        // work out the colour of this point
        const color1 = parseColorToUIntArgb(sGradientStops[index].color);
        // const color2 = parseColorToUIntArgb(sGradientStops[nextIndex].color);
        // const ratio = (valueScale - sGradientStops[index].offset) / (sGradientStops[nextIndex].offset - sGradientStops[index].offset)
        // const colorScale = uintArgbColorLerp(color1, color2, ratio)
        // console.log(`valueScale ${valueScale} low ${sGradientStops[index].offset} high ${sGradientStops[nextIndex].offset} ratio ${ratio}`);
        return { pointScale: 0.1 + valueScale, vertexColor: color1 };
    });
}

export const drawHeatmapLegend = async (rootElement: string | HTMLDivElement) => {
    const { heatmapLegend, wasmContext } = await HeatmapLegend.create(rootElement, {
        theme: {
            ...appTheme.SciChartJsTheme,
            sciChartBackground: appTheme.DarkIndigo + "BB",
            loadingAnimationBackground: appTheme.DarkIndigo + "BB",
        },
        yAxisOptions: {
            isInnerAxis: true,
            labelStyle: {
                fontSize: 12,
                color: appTheme.ForegroundColor,
            },
            axisBorder: {
                borderRight: 1,
                color: appTheme.ForegroundColor + "77",
            },
            majorTickLineStyle: {
                color: appTheme.ForegroundColor,
                tickSize: 6,
                strokeThickness: 1,
            },
            minorTickLineStyle: {
                color: appTheme.ForegroundColor,
                tickSize: 3,
                strokeThickness: 1,
            },
        },
        colorMap: {
            minimum: -30,
            maximum: 0,
            gradientStops: [
                { offset: 1, color: appTheme.VividPink },
                { offset: 0.9, color: appTheme.VividOrange },
                { offset: 0.7, color: appTheme.MutedRed },
                { offset: 0.5, color: appTheme.VividGreen },
                { offset: 0.3, color: appTheme.VividSkyBlue },
                { offset: 0.15, color: appTheme.Indigo },
                { offset: 0, color: appTheme.DarkIndigo },
            ],
        },
    });

    heatmapLegend.innerSciChartSurface.sciChartSurface.title = "Power (dB)";
    heatmapLegend.innerSciChartSurface.sciChartSurface.padding.top = 0;
    heatmapLegend.innerSciChartSurface.sciChartSurface.titleStyle = { fontSize: 12, color: appTheme.ForegroundColor };

    return { sciChartSurface: heatmapLegend.innerSciChartSurface.sciChartSurface };
};