Angular Spline Line Chart

Demonstrates how to create a Angular Spline Line Chart using SciChart.js, our feature-rich JavaScript Chart Library

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drawExample.ts

angular.ts

theme.ts

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1import { appTheme } from "../../../theme";
2import {
3    ELegendOrientation,
4    EllipsePointMarker,
5    FastLineRenderableSeries,
6    LegendModifier,
7    MouseWheelZoomModifier,
8    NumericAxis,
9    NumberRange,
10    SciChartSurface,
11    SplineLineRenderableSeries,
12    WaveAnimation,
13    XyDataSeries,
14    ZoomExtentsModifier,
15    ZoomPanModifier,
16    BezierRenderDataTransform,
17    AxisMarkerAnnotation,
18    ECoordinateMode,
19} from "scichart";
20
21export const drawExample = async (rootElement: string | HTMLDivElement) => {
22    // Create a SciChartSurface
23    const { sciChartSurface, wasmContext } = await SciChartSurface.create(rootElement, {
24        theme: appTheme.SciChartJsTheme,
25    });
26
27    // Create the X,Y Axis
28    const xAxis = new NumericAxis(wasmContext);
29    sciChartSurface.xAxes.add(xAxis);
30
31    const yAxis = new NumericAxis(wasmContext, { growBy: new NumberRange(0.05, 0.2) });
32    sciChartSurface.yAxes.add(yAxis);
33
34    const xValues = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13];
35    const yValues = [50, 35, 61, 58, 50, 50, 40, 53, 55, 23, 45, 12, 59, 60];
36
37    // Create an XyDataSeries as data source
38    const xyDataSeries = new XyDataSeries(wasmContext, {
39        dataSeriesName: "Original Data ",
40        xValues,
41        yValues,
42    });
43
44    const splineXyDataSeries = new XyDataSeries(wasmContext, {
45        dataSeriesName: "Default Spline",
46        xValues,
47        yValues,
48    });
49
50    // Create and add a standard line series to the chart.
51    // This will be used to compare the spline (smoothed) algorithm
52    const lineSeries = new FastLineRenderableSeries(wasmContext, {
53        stroke: appTheme.VividOrange,
54        strokeThickness: 3,
55        dataSeries: xyDataSeries,
56        pointMarker: new EllipsePointMarker(wasmContext, {
57            width: 11,
58            height: 11,
59            fill: appTheme.ForegroundColor,
60            stroke: appTheme.VividSkyBlue,
61        }),
62        animation: new WaveAnimation({ zeroLine: 10, pointDurationFraction: 0.5, duration: 1000 }),
63    });
64    sciChartSurface.renderableSeries.add(lineSeries);
65
66    // Create and add a Spline line series to the chart
67    const splineSeries = new SplineLineRenderableSeries(wasmContext, {
68        stroke: appTheme.VividSkyBlue,
69        strokeThickness: 4,
70        dataSeries: splineXyDataSeries,
71        pointMarker: new EllipsePointMarker(wasmContext, {
72            width: 11,
73            height: 11,
74            fill: appTheme.ForegroundColor,
75            stroke: appTheme.VividSkyBlue,
76        }),
77        interpolationPoints: 10, // Set interpolation points to decide the amount of smoothing,
78        animation: new WaveAnimation({ zeroLine: 10, pointDurationFraction: 0.5, duration: 1000, fadeEffect: true }),
79    });
80    sciChartSurface.renderableSeries.add(splineSeries);
81
82    const bezierDataSeries = new XyDataSeries(wasmContext, {
83        dataSeriesName: "Bezier (Range Restricted)",
84        xValues,
85        yValues,
86    });
87
88    const bezierSeries = new FastLineRenderableSeries(wasmContext, {
89        stroke: appTheme.VividPurple,
90        strokeThickness: 4,
91        dataSeries: bezierDataSeries,
92        pointMarker: new EllipsePointMarker(wasmContext, {
93            width: 11,
94            height: 11,
95            fill: appTheme.ForegroundColor,
96            stroke: appTheme.VividSkyBlue,
97        }),
98        animation: new WaveAnimation({ zeroLine: 10, pointDurationFraction: 0.5, duration: 1000, fadeEffect: true }),
99    });
100    const bezierTransform = new BezierRenderDataTransform(bezierSeries, wasmContext, [
101        bezierSeries.drawingProviders[0],
102    ]);
103    bezierSeries.renderDataTransform = bezierTransform;
104    sciChartSurface.renderableSeries.add(bezierSeries);
105
106    const curvatureAnnotation = new AxisMarkerAnnotation({
107        yCoordinateMode: ECoordinateMode.Relative,
108        y1: 0.5,
109        formattedValue: "Bezier Curvature 0.5",
110        backgroundColor: appTheme.VividPurple,
111        isEditable: true,
112        onDrag: (args) => {
113            bezierTransform.curvature = curvatureAnnotation.y1;
114            curvatureAnnotation.formattedValue = "Bezier Curvature " + curvatureAnnotation.y1.toFixed(2);
115        },
116    });
117    sciChartSurface.annotations.add(curvatureAnnotation);
118
119    // OPTIONAL: Add some interactivity modifiers
120    sciChartSurface.chartModifiers.add(new ZoomPanModifier({ enableZoom: true }));
121    sciChartSurface.chartModifiers.add(new ZoomExtentsModifier());
122    sciChartSurface.chartModifiers.add(new MouseWheelZoomModifier());
123    sciChartSurface.chartModifiers.add(
124        new LegendModifier({ orientation: ELegendOrientation.Vertical, showCheckboxes: true })
125    );
126
127    sciChartSurface.zoomExtents();
128    return { sciChartSurface, wasmContext };
129};
130

Angular Spline Line Chart

Overview

This example demonstrates how to create an Angular Spline Line Chart using SciChart.js. It leverages the standalone Angular component from the scichart-angular package to integrate a high-performance WebGL chart into an Angular application. The chart displays a standard fast line series alongside a smoothed spline line series, and includes an advanced Bezier line series with interactive annotations for dynamic curvature adjustment.

Technical Implementation

The implementation initializes a SciChartSurface by binding the chart creation function via Angular’s property binding ([initChart]) on the scichart-angular component. It sets up NumericAxis X and Y axes and adds three renderable series: a fast line series with animated point markers using WaveAnimation, a spline line series with customizable smoothing controlled by the number of interpolation points, and a Bezier-transformed series using BezierRenderDataTransform that enables runtime curvature adjustments through an interactive axis marker annotation. For further technical details on setting up a SciChart.js project, refer to the Tutorial 01 - Setting up a npm Project with SciChart.js.

Features and Capabilities

This example showcases real-time updates and advanced data visualization capabilities. It includes smooth animated transitions for each series, interactive chart modifiers such as zooming, panning, and mouse wheel zooming, and a legend for enhanced data interpretation. The integration of advanced smoothing techniques using a custom Bezier render data transform along with dynamic annotation-driven interactions exemplifies the level of customization available in SciChart.js, as further detailed in the Advanced JavaScript Chart and Graph Library features.

Integration and Best Practices

The example follows best practices for Angular integration by utilizing standalone components and data binding for clean and maintainable code. The SciChartSurface lifecycle is effectively managed within the Angular context, ensuring optimal performance and resource cleanup in line with recommendations from the Memory Best Practices guide. Developers can also explore best practices for Angular standalone components in the Explore Angular Standalone Components: Complete Guide to maximize performance and maintainability in their own projects.

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