Demonstrates how to create a Angular Band Chart or High-Low Fill using SciChart.js, our High Performance JavaScript Chart Framework
drawExample.ts
angular.ts
theme.ts
1import {
2 MouseWheelZoomModifier,
3 ZoomExtentsModifier,
4 ZoomPanModifier,
5 XyyDataSeries,
6 NumericAxis,
7 FastBandRenderableSeries,
8 SciChartSurface,
9 NumberRange,
10 SweepAnimation,
11 GradientParams,
12 Point,
13} from "scichart";
14
15import { appTheme } from "../../../theme";
16
17export const drawExample = async (rootElement: string | HTMLDivElement) => {
18 // Create a SciChartSurface
19 const { wasmContext, sciChartSurface } = await SciChartSurface.create(rootElement, {
20 theme: appTheme.SciChartJsTheme,
21 });
22
23 // Add an XAxis, YAxis
24 sciChartSurface.xAxes.add(new NumericAxis(wasmContext));
25 sciChartSurface.yAxes.add(new NumericAxis(wasmContext, { growBy: new NumberRange(0.1, 0.1) }));
26
27 // Create some data for the example. We need X, Y and Y1 values
28 const xValues = [];
29 const yValues = [];
30 const y1Values = [];
31 const POINTS = 1000;
32 const STEP = (3 * Math.PI) / POINTS;
33 for (let i = 0; i <= 1000; i++) {
34 const k = 1 - i / 2000;
35 xValues.push(i);
36 yValues.push(Math.sin(i * STEP) * k * 0.7);
37 y1Values.push(Math.cos(i * STEP) * k);
38 }
39
40 // Create the band series and add to the chart
41 // The bandseries requires a special dataseries type called XyyDataSeries with X,Y and Y1 values
42 sciChartSurface.renderableSeries.add(
43 new FastBandRenderableSeries(wasmContext, {
44 dataSeries: new XyyDataSeries(wasmContext, { xValues, yValues, y1Values }),
45 strokeThickness: 3,
46 fill: appTheme.VividOrange + "33",
47 fillY1: appTheme.VividSkyBlue + "33",
48 stroke: appTheme.VividOrange,
49 strokeY1: appTheme.VividSkyBlue,
50 animation: new SweepAnimation({ duration: 800 }),
51 })
52 );
53
54 sciChartSurface.renderableSeries.add(
55 new FastBandRenderableSeries(wasmContext, {
56 dataSeries: new XyyDataSeries(wasmContext, {
57 xValues,
58 yValues: yValues.map((y) => y - 2),
59 y1Values: y1Values.map((y) => y - 2),
60 }),
61 strokeThickness: 3,
62 stroke: appTheme.VividOrange,
63 strokeY1: appTheme.VividSkyBlue,
64 fillLinearGradient: new GradientParams(new Point(0, 0.6), new Point(0, 0.9), [
65 { color: appTheme.MutedRed + "99", offset: 0 },
66 { color: appTheme.MutedOrange + "99", offset: 1 },
67 ]),
68 fillLinearGradientY1: new GradientParams(new Point(0, 0.6), new Point(0, 0.9), [
69 { color: appTheme.MutedPurple + "99", offset: 0 },
70 { color: appTheme.MutedTeal + "99", offset: 1 },
71 ]),
72 animation: new SweepAnimation({ duration: 800 }),
73 })
74 );
75
76 // Optional: Add some interactivity modifiers
77 sciChartSurface.chartModifiers.add(
78 new ZoomExtentsModifier(),
79 new ZoomPanModifier({ enableZoom: true }),
80 new MouseWheelZoomModifier()
81 );
82
83 sciChartSurface.zoomExtents();
84 return { wasmContext, sciChartSurface };
85};
86This Angular example demonstrates how to integrate SciChart.js into a modern Angular application using a standalone component. The chart renders two band series with distinct visual styling and interactive capabilities, allowing for a high-performance band or High-Low Fill representation.
The chart is asynchronously initialized within an Angular standalone component that leverages the ScichartAngularComponent to simplify integration. The example uses the SciChartSurface to create numeric X and Y axes, and plots two band series using the FastBandRenderableSeries class combined with an XyyDataSeries for supplying X, Y, and Y1 values. Each series is enhanced with a SweepAnimation for smooth rendering and customized further using gradient fills provided by GradientParams.
The implementation highlights real-time update capabilities and advanced styling customizations. One series uses semi-transparent fills with distinct stroke colors, while the other applies a linear gradient fill effect to both the upper and lower components of the band. Interactive modifiers such as the ZoomExtentsModifier, ZoomPanModifier, and MouseWheelZoomModifier are incorporated to provide intuitive zooming and panning, ensuring a responsive and engaging user experience.
By utilizing a standalone Angular component, this example adheres to modern Angular component design practices, simplifying the integration process. Developers can refer to the Angular standalone components guide for further information on structuring such components within an Angular module. The asynchronous initialization pattern used here not only improves performance by offloading heavy tasks but also enhances the overall responsiveness of the application. For more insights into setting up a SciChart.js app with Angular, the SciChart JS Getting Started guide provides additional best practices.
This example serves as a strong foundation for integrating high-performance SciChart.js charts within Angular applications, combining advanced visualizations with efficient WebGL rendering to build sophisticated data visualizations.

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