Angular Error Bars Chart

This SciChart demo demonstrates how to create a Angular Error Bars Chart using SciChart.js our High Performance JavaScript Chart component.

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drawExample.ts

angular.ts

theme.ts

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1import { appTheme } from "../../../theme";
2import {
3    NumericAxis,
4    XyDataSeries,
5    SciChartSurface,
6    NumberRange,
7    ZoomPanModifier,
8    ZoomExtentsModifier,
9    MouseWheelZoomModifier,
10    HlcDataSeries,
11    PinchZoomModifier,
12    EllipsePointMarker,
13    FastErrorBarsRenderableSeries,
14    EErrorMode,
15    EErrorDirection,
16    EDataPointWidthMode,
17    EAnimationType,
18    SplineMountainRenderableSeries,
19    GradientParams,
20    Point,
21} from "scichart";
22
23export const drawExample = async (rootElement: string | HTMLDivElement) => {
24    const { sciChartSurface, wasmContext } = await SciChartSurface.create(rootElement, {
25        theme: appTheme.SciChartJsTheme,
26    });
27
28    sciChartSurface.yAxes.add(new NumericAxis(wasmContext, { growBy: new NumberRange(0.1, 0.1) }));
29    sciChartSurface.xAxes.add(new NumericAxis(wasmContext, { growBy: new NumberRange(0.1, 0.1) }));
30
31    // Xy values for the data
32    const xValues = [0, 1, 2, 2.5, 4.5, 5, 6, 7, 8];
33    const yValues = [2.5, 3.5, 3.7, 4.0, 5.0, 5.5, 5.0, 4.0, 3.0];
34
35    const randomError = () => Math.random() * 0.2 + 0.2;
36    // Low high error (absolute values)
37    const lowValues = yValues.map((y) => y - randomError());
38    const highValues = yValues.map((y) => y + randomError());
39
40    // Left/right error (absolute values)
41    const leftValues = xValues.map((x) => x - randomError());
42    const rightValues = xValues.map((x) => x + randomError());
43
44    // add optional mountain series. We use Spline type, for higher performance use FastLine or FastMountainRenderableSeries
45    const lineSeries = new SplineMountainRenderableSeries(wasmContext, {
46        dataSeries: new XyDataSeries(wasmContext, { xValues, yValues }),
47        strokeThickness: 5,
48        stroke: appTheme.VividSkyBlue,
49        fillLinearGradient: new GradientParams(new Point(0, 0), new Point(0, 1), [
50            { offset: 0, color: appTheme.VividSkyBlue + "77" },
51            { offset: 1, color: "Transparent" },
52        ]),
53        animation: { type: EAnimationType.Scale, options: { zeroLine: -1, duration: 500 } },
54    });
55    sciChartSurface.renderableSeries.add(lineSeries);
56
57    // Define Horizontal Error Bars Series, Error bars require HLC data with absolute values for error whiskers
58    const errorBarsHorizontalSeries = new FastErrorBarsRenderableSeries(wasmContext, {
59        dataSeries: new HlcDataSeries(wasmContext, {
60            xValues,
61            yValues,
62            highValues: leftValues,
63            lowValues: rightValues,
64        }),
65        errorMode: EErrorMode.Both,
66        errorDirection: EErrorDirection.Horizontal,
67        dataPointWidthMode: EDataPointWidthMode.Relative,
68        dataPointWidth: 0.3,
69        strokeThickness: 4,
70        stroke: appTheme.VividSkyBlue + "77",
71        animation: { type: EAnimationType.Scale, options: { zeroLine: 0, duration: 500 } },
72    });
73    sciChartSurface.renderableSeries.add(errorBarsHorizontalSeries);
74
75    // Define Vertical Error Bars Series, Error bars require HLC data with absolute values for error whiskers
76    const errorBarsSeries = new FastErrorBarsRenderableSeries(wasmContext, {
77        dataSeries: new HlcDataSeries(wasmContext, { xValues, yValues, highValues, lowValues }),
78        errorMode: EErrorMode.Both,
79        errorDirection: EErrorDirection.Vertical,
80        dataPointWidthMode: EDataPointWidthMode.Relative,
81        dataPointWidth: 0.3,
82        strokeThickness: 4,
83        stroke: appTheme.VividSkyBlue,
84        animation: { type: EAnimationType.Scale, options: { zeroLine: 0, duration: 500 } },
85        // Add optional pointmarker (or use separate XyScatterRenderableSeries)
86        pointMarker: new EllipsePointMarker(wasmContext, {
87            width: 9,
88            height: 9,
89            strokeThickness: 0,
90            fill: appTheme.VividOrange,
91        }),
92    });
93    sciChartSurface.renderableSeries.add(errorBarsSeries);
94
95    // add some interactivity
96    sciChartSurface.chartModifiers.add(new ZoomPanModifier({ enableZoom: true }));
97    sciChartSurface.chartModifiers.add(new ZoomExtentsModifier());
98    sciChartSurface.chartModifiers.add(new MouseWheelZoomModifier());
99
100    sciChartSurface.zoomExtents();
101
102    return { sciChartSurface };
103};
104

Angular Error Bars Chart

Overview

The Angular Error Bars Chart example demonstrates how to integrate SciChart.js into an Angular standalone component to render a high performance chart with both vertical and horizontal error bars. This example uses the scichart-angular package to embed the chart into an Angular application and showcases the use of interactive chart modifiers and advanced visual features.

Technical Implementation

The chart is initialized inside an Angular standalone component through a call to a dedicated drawExample function. The implementation configures numeric axes, data series for plotting error bars, and an optional animated SplineMountainRenderableSeries for added visual context. The error bars are implemented via FastErrorBarsRenderableSeries using absolute values provided by an HlcDataSeries. Interactive behaviors such as panning, zoom extents, and mouse wheel zoom are added using ZoomPanModifier, ZoomExtentsModifier, and MouseWheelZoomModifier. Developers can refer to the Tutorial 01 - Setting up a npm Project with SciChart.js for additional context on project configuration and integration techniques.

Features and Capabilities

The example demonstrates real-time chart customization using animated transitions (with EAnimationType Scale) and dual error bar representations in both vertical and horizontal directions. The chart includes advanced customizations such as gradient fills in the mountain series and custom point markers to highlight data points. The detailed configuration of error bars is aligned with the guidelines provided in The Error Bars Chart Type, ensuring that uncertainty and statistical confidence are visualized accurately.

Integration and Best Practices

This implementation leverages Angular's standalone component architecture to simplify integration with third-party libraries. By using the standalone components guide, the example maintains a clean separation of concerns, ensuring that chart initialization and lifecycle management occur efficiently. The interactivity of the chart, such as zooming and panning, is handled elegantly within the Angular component, encouraging developers to explore advanced topics like data binding and performance optimization. For more insights into managing component lifecycles in Angular, refer to the Component Lifecycle - Angular documentation. Additionally, users can further optimize chart performance by exploring techniques described in Performance Tips & Tricks.

This example serves as a solid foundation for developers looking to integrate high performance charts with error bars into Angular applications, providing clear guidance on both configuration and best practices.

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