Whenever the visible range changes, the chart requests data from the server, which returns a reduced view of the dataset, in this case using a very simple take every nth point method. The overview is created manually because it does not share data with the main chart but has a reduced view of the entire dataset.
drawExample.ts
index.tsx
theme.ts
1import { Subject, debounceTime } from "rxjs";
2
3import {
4 easing,
5 EAutoRange,
6 EAxisAlignment,
7 EHorizontalAnchorPoint,
8 EVerticalAnchorPoint,
9 EWrapTo,
10 EXyDirection,
11 FastLineRenderableSeries,
12 MouseWheelZoomModifier,
13 NativeTextAnnotation,
14 NumberRange,
15 NumericAxis,
16 SciChartOverview,
17 SciChartSurface,
18 XAxisDragModifier,
19 XyDataSeries,
20 YAxisDragModifier,
21 ZoomExtentsModifier,
22 ZoomPanModifier,
23 ECoordinateMode,
24 AxisBase2D,
25} from "scichart";
26import { appTheme } from "../../../theme";
27
28export const getChartsInitializationApi = () => {
29 let mainSurface: SciChartSurface;
30 let mainXAxis: AxisBase2D;
31 let mainDataSeries: XyDataSeries;
32
33 const createMainChart = async (rootElement: string | HTMLDivElement) => {
34 const { wasmContext, sciChartSurface } = await SciChartSurface.create(rootElement, {
35 theme: appTheme.SciChartJsTheme,
36 });
37 const xAxis = new NumericAxis(wasmContext, {
38 axisAlignment: EAxisAlignment.Bottom,
39 visibleRange: new NumberRange(4000000, 5000000),
40 autoRange: EAutoRange.Never,
41 labelPrecision: 0,
42 useNativeText: true,
43 });
44
45 sciChartSurface.xAxes.add(xAxis);
46 const yAxis = new NumericAxis(wasmContext, {
47 axisAlignment: EAxisAlignment.Right,
48 visibleRange: new NumberRange(-5000, 5000),
49 autoRange: EAutoRange.Never,
50 labelPrecision: 0,
51 useNativeText: true,
52 });
53 sciChartSurface.yAxes.add(yAxis);
54
55 const dataSeries = new XyDataSeries(wasmContext, { containsNaN: false, isSorted: true });
56 const rendSeries = new FastLineRenderableSeries(wasmContext, {
57 dataSeries,
58 strokeThickness: 2,
59 stroke: appTheme.VividOrange,
60 });
61 sciChartSurface.renderableSeries.add(rendSeries);
62 rendSeries.rolloverModifierProps.tooltipTextColor = "black";
63 rendSeries.rolloverModifierProps.showRollover = true;
64
65 sciChartSurface.chartModifiers.add(
66 new ZoomExtentsModifier({ xyDirection: EXyDirection.YDirection }),
67 new XAxisDragModifier(),
68 new YAxisDragModifier(),
69 new ZoomPanModifier({ enableZoom: true }),
70 new MouseWheelZoomModifier()
71 );
72
73 // Create an observable stream
74 const subject = new Subject<NumberRange>();
75
76 // Push visible range changes into the observable
77 xAxis.visibleRangeChanged.subscribe(async (args) => {
78 subject.next(args.visibleRange);
79 });
80
81 // subscribe to the observable with a debounce
82 subject.pipe(debounceTime(250)).subscribe((r: NumberRange) => {
83 // Fetch data and update the dataSeries
84 loadPoints(r.min, r.max, sciChartSurface.domCanvas2D.width, dataSeries)
85 .then(() => {
86 // Update the y axis
87 const yRange = yAxis.getWindowedYRange(null);
88 yAxis.animateVisibleRange(yRange, 250, easing.outExpo);
89 })
90 .catch((err) =>
91 showError(
92 sciChartSurface,
93 "Server data is unavailable. Please do npm run build, then npm start and access the site at localhost:3000"
94 )
95 );
96 });
97
98 mainSurface = sciChartSurface;
99 mainXAxis = xAxis;
100 mainDataSeries = dataSeries;
101
102 return { sciChartSurface };
103 };
104
105 const createOverview = async (rootElement: string | HTMLDivElement) => {
106 const overview = await SciChartOverview.create(mainSurface, rootElement, { theme: appTheme.SciChartJsTheme });
107 const overviewData = new XyDataSeries(mainSurface.webAssemblyContext2D, { containsNaN: false, isSorted: true });
108 // Load the full dataSet
109 loadPoints(0, 10000000, overview.overviewSciChartSurface.domCanvas2D.width, overviewData).catch((err) => {});
110
111 const overviewSeries = overview.overviewSciChartSurface.renderableSeries.get(0);
112 overviewSeries.dataSeries = overviewData;
113 overview.overviewSciChartSurface.zoomExtents();
114
115 return { sciChartSurface: overview.overviewSciChartSurface };
116 };
117
118 const afterOverviewInit = () => {
119 // Load initial data
120 loadPoints(
121 mainXAxis.visibleRange.min,
122 mainXAxis.visibleRange.max,
123 mainSurface.domCanvas2D.width,
124 mainDataSeries
125 )
126 .then(() => {
127 mainSurface.zoomExtents();
128 })
129 .catch((err) =>
130 showError(
131 mainSurface,
132 "Server data is unavailable. Please do npm run build, then npm start and access the site at localhost:3000"
133 )
134 );
135 };
136
137 return { createMainChart, createOverview, afterOverviewInit };
138};
139
140const loadPoints = async (xFrom: number, xTo: number, chartWidth: number, dataSeries: XyDataSeries) => {
141 chartWidth = Math.floor(chartWidth);
142
143 const response = await fetch(`api/data/${xFrom}-${xTo}/${chartWidth}`);
144 const data: { x: number[]; y: number[] } = await response.json();
145 console.log(`Loaded ${data.x.length} points`);
146 dataSeries.clear();
147 dataSeries.appendRange(data.x, data.y);
148};
149
150const showError = (sciChartSurface: SciChartSurface, message: string) => {
151 if (!sciChartSurface.annotations.getById("error")) {
152 sciChartSurface.annotations.add(
153 new NativeTextAnnotation({
154 id: "error",
155 text: message,
156 x1: 0.5,
157 y1: 0.5,
158 textColor: "red",
159 fontSize: 24,
160 horizontalAnchorPoint: EHorizontalAnchorPoint.Center,
161 verticalAnchorPoint: EVerticalAnchorPoint.Center,
162 xCoordinateMode: ECoordinateMode.Relative,
163 yCoordinateMode: ECoordinateMode.Relative,
164 lineSpacing: 5,
165 wrapTo: EWrapTo.ViewRect,
166 })
167 );
168 }
169};
170This example demonstrates a high performance, virtualized data visualization solution using Angular and SciChart.js. It dynamically loads a reduced subset of data based on the current zoom and pan state while providing an overview chart that displays a condensed view of the full dataset for contextual insight.
The main chart is created by initializing a SciChartSurface with numeric axes and a FastLineRenderableSeries. Data is fetched asynchronously via the fetch API from a server endpoint and loaded into the chart using a custom function. To enhance responsiveness of the virtualized chart, RxJS’s debounceTime operator is used to throttle visible range change events from the x-axis, ensuring that expensive data requests occur only after interactions have settled. Interaction modifiers such as ZoomExtentsModifier, XAxisDragModifier, YAxisDragModifier, ZoomPanModifier, and MouseWheelZoomModifier provide intuitive chart navigation, as outlined in the SciChart.js documentation.
This solution supports real-time updates by asynchronously loading only the necessary portion of data when the visible range changes. The independent overview chart, created using SciChartOverview, offers a reduced view of the entire dataset, enabling users to quickly navigate large data sets. The virtualized data rendering approach ensures that performance remains optimal even when dealing with extensive datasets.
The implementation leverages Angular’s component lifecycle by initializing the main chart before setting up the overview chart, ensuring that dependent chart components are rendered only after the necessary data and configurations are in place. This method aligns with Angular's best practices for lifecycle management when using the scichart-angular package. Additionally, performance optimization through RxJS and asynchronous data handling is crucial for maintaining responsiveness, making the example a solid reference for integrating high performance SciChart.js components in Angular applications.

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