This demo demonstrates how create a Angular Donut Chart with our powerful JavaScript library, SciChart.js.
drawExample.ts
angular.ts
theme.ts
1import { appTheme } from "../../../theme";
2import {
3 EPieType,
4 ESizingMode,
5 SciChartPieSurface,
6 PieSegment,
7 GradientParams,
8 Point,
9 ELegendOrientation,
10 ELegendPlacement,
11} from "scichart";
12
13export const drawExample = async (rootElement: string | HTMLDivElement) => {
14 // Create the pie chart
15 const sciChartPieSurface = await SciChartPieSurface.create(rootElement, {
16 theme: appTheme.SciChartJsTheme,
17 pieType: EPieType.Donut,
18 holeRadius: 0.6,
19 holeRadiusSizingMode: ESizingMode.Relative,
20 animate: true,
21 seriesSpacing: 10,
22 showLegend: true,
23 showLegendSeriesMarkers: true,
24 animateLegend: true,
25 });
26 // Optional placement of legend
27 sciChartPieSurface.legend.orientation = ELegendOrientation.Vertical;
28 sciChartPieSurface.legend.placement = ELegendPlacement.TopLeft;
29
30 // SciChart.js expects a list of PieSegment, however data is often formatted like this
31 // Dataset = 'percentage market share of phones, 2022'
32 const dataset = [
33 { name: "Chrome", percent: 65.27 },
34 { name: "Safari", percent: 19.03 },
35 { name: "Edge", percent: 4.4 },
36 { name: "Firefox", percent: 3.07 },
37 { name: "Samsung", percent: 2.7 },
38 { name: "Opera", percent: 2.49 },
39 { name: "Android", percent: 0.78 },
40 { name: "IE", percent: 0.32 },
41 ];
42
43 // Colors are just hex strings, supporting #FFFFFF (RBG) or 8-digit with RGBA or CSS color strings e.g. rgba()
44 const colors = [
45 { color1: appTheme.VividOrange, color2: appTheme.MutedOrange },
46 { color1: appTheme.Indigo, color2: appTheme.VividBlue },
47 { color1: appTheme.MutedSkyBlue, color2: appTheme.MutedTeal },
48 { color1: appTheme.MutedTeal, color2: appTheme.PaleTeal },
49 { color1: appTheme.VividSkyBlue, color2: appTheme.MutedSkyBlue },
50 { color1: appTheme.MutedRed },
51 { color1: appTheme.MutedPink },
52 { color1: appTheme.VividPink },
53 ];
54
55 // Optional Relative radius adjustment per segment
56 const radiusSize = [0.8, 0.85, 0.9, 0.9, 0.9, 0.95, 0.95, 0.95];
57
58 const toPieSegment = (name: string, value: number, radiusAdjustment: number, color1: string, color2: string) => {
59 return new PieSegment({
60 value,
61 text: name,
62 labelStyle: { color: appTheme.ForegroundColor },
63 radiusAdjustment,
64 showLabel: value > 2,
65 colorLinearGradient: new GradientParams(new Point(0, 0), new Point(0, 1), [
66 { color: color1, offset: 0 },
67 { color: color2 || color1 + "77", offset: 1 },
68 ]),
69 });
70 };
71
72 // Transform the data to pie segment and add to scichart
73 const pieSegments = dataset.map((row, index) =>
74 toPieSegment(row.name, row.percent, radiusSize[index], colors[index].color1, colors[index].color2)
75 );
76
77 sciChartPieSurface.pieSegments.add(...pieSegments);
78
79 return { sciChartSurface: sciChartPieSurface };
80};
81This example demonstrates how to integrate a SciChart.js Donut Chart into an Angular application using a standalone Angular component. The example leverages the scichart-angular package to embed the chart directly into the Angular template. The primary goal is to visualize market share data with animated, gradient-filled segments and configurable legends.
The donut chart is created with an asynchronous initialization pattern using the ScichartAngularComponent. The chart is rendered using the SciChart library by invoking the drawExample function, which creates a SciChartPieSurface configured for a donut chart by setting pieType = EPieType.Donut, with a relative hole radius by setting holeRadius, custom gradient fills defined by linear gradients, and animated transitions. Resource management and efficient cleanup are handled in accordance with best practices as outlined in the Memory Best Practices documentation.
Key features include animated chart transitions, dynamic segmentation based on a provided dataset, and advanced visual customizations such as gradient color configurations for each PieSegment. The example also supports interactive legends with configurable orientation and placement. Further details on these capabilities can be found in the SciChart.js Donut Chart Documentation.
The integration follows modern Angular practices by using standalone components and property binding for dynamic chart creation. This approach simplifies the initialization process and fits well within Angular’s component-driven architecture. Developers can refer to Getting Started with SciChart JS to understand how to setup a SciChart.js application with Angular. These resources provide further insights into performance optimization and proper resource management when working with high-performance JavaScript charts in Angular applications.

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