Creates a JavaScript Polar Column Category Chart using SciChart.js, with a custom positive/negative threshold fill & stroke for each column.
drawExample.ts
index.html
vanilla.ts
theme.ts
1import {
2 PolarColumnRenderableSeries,
3 PolarMouseWheelZoomModifier,
4 PolarZoomExtentsModifier,
5 PolarPanModifier,
6 XyDataSeries,
7 PolarNumericAxis,
8 SciChartPolarSurface,
9 EPolarAxisMode,
10 NumberRange,
11 EAxisAlignment,
12 EPolarLabelMode,
13 PolarCategoryAxis,
14 DefaultPaletteProvider,
15 parseColorToUIntArgb,
16 EStrokePaletteMode,
17 WaveAnimation,
18 Thickness,
19} from "scichart";
20import { appTheme } from "../../../theme";
21
22// Custom PaletteProvider for column series which colours datapoints above a threshold
23class ColumnPaletteProvider extends DefaultPaletteProvider {
24 private threshold: number;
25 private positiveFillColor: number;
26 private positiveStroke: number;
27
28 private negativeFillColor: number;
29 private negativeStroke: number;
30
31 constructor(threshold: number) {
32 super();
33 this.strokePaletteMode = EStrokePaletteMode.SOLID;
34 this.threshold = threshold;
35 this.positiveStroke = parseColorToUIntArgb(appTheme.VividRed);
36 this.positiveFillColor = parseColorToUIntArgb(appTheme.VividRed, 127);
37 this.negativeStroke = parseColorToUIntArgb(appTheme.VividBlue);
38 this.negativeFillColor = parseColorToUIntArgb(appTheme.VividBlue, 127); // 127/255 opacity
39 }
40
41 overrideStrokeArgb(xValue: number, yValue: number, index: number, opacity: number, metadata: any) {
42 return yValue < this.threshold ? this.positiveStroke : this.negativeStroke;
43 }
44
45 overrideFillArgb(xValue: number, yValue: number, index: number, opacity: number, metadata: any) {
46 return yValue < this.threshold ? this.positiveFillColor : this.negativeFillColor;
47 }
48}
49
50const DATA_UK = {
51 labels: [
52 "Poultry",
53 "Fruit",
54 "Milk",
55 "Cheese",
56 "Pizza",
57 "Meat",
58 "Cereals",
59 "Eggs",
60 "Oats",
61 "Lamb",
62 "Butter",
63 "Chocolate",
64 "Sheep",
65 "OliveOil",
66 ],
67 data: [-18.5, -12.5, -11.7, -9.2, -7.2, -6.8, -5.9, 7.8, 9.1, 10.2, 10.2, 11.7, 17.6, 22.1],
68};
69
70export const drawExample = async (rootElement: string | HTMLDivElement) => {
71 const { sciChartSurface, wasmContext } = await SciChartPolarSurface.create(rootElement, {
72 theme: appTheme.SciChartJsTheme,
73 title: "Cunsumer prices relative to past year in UK, 2024",
74 titleStyle: {
75 fontSize: 24,
76 },
77 });
78
79 const radialYAxis = new PolarNumericAxis(wasmContext, {
80 polarAxisMode: EPolarAxisMode.Radial,
81 axisAlignment: EAxisAlignment.Right,
82 visibleRange: new NumberRange(
83 Math.min(...DATA_UK.data),
84 Math.max(...DATA_UK.data) + 4 // Add some padding to fit data-label for topmost column
85 ),
86 drawMinorTickLines: false,
87 drawMajorTickLines: false,
88 useNativeText: true,
89 drawMinorGridLines: false,
90 zoomExtentsToInitialRange: true,
91 labelPostfix: "%",
92 labelPrecision: 0,
93 // labelStyle: {
94 // color: "white",
95 // },
96 innerRadius: 0.15,
97 startAngle: Math.PI / 2,
98 });
99 sciChartSurface.yAxes.add(radialYAxis);
100
101 const polarXAxis = new PolarCategoryAxis(wasmContext, {
102 polarAxisMode: EPolarAxisMode.Angular,
103 axisAlignment: EAxisAlignment.Top,
104 polarLabelMode: EPolarLabelMode.Parallel,
105 visibleRange: new NumberRange(-1, DATA_UK.data.length),
106 drawMajorGridLines: false,
107 drawMinorGridLines: false,
108 drawMinorTickLines: false, // ticks don't make sense on category axes
109 useNativeText: true,
110 zoomExtentsToInitialRange: true,
111 flippedCoordinates: true,
112 labelPrecision: 0,
113 // labelStyle: {
114 // color: "white",
115 // },
116 totalAngle: Math.PI * 2,
117 startAngle: Math.PI / 2,
118 autoTicks: false,
119 majorDelta: 1,
120 labels: DATA_UK.labels,
121 });
122 sciChartSurface.xAxes.add(polarXAxis);
123
124 const polarColumn = new PolarColumnRenderableSeries(wasmContext, {
125 dataSeries: new XyDataSeries(wasmContext, {
126 xValues: Array.from({ length: DATA_UK.data.length }, (_, i) => i),
127 yValues: DATA_UK.data,
128 }),
129 dataLabels: {
130 style: {
131 fontSize: 14,
132 padding: Thickness.fromNumber(0),
133 },
134 polarLabelMode: EPolarLabelMode.Parallel,
135 // color: "white",
136 precision: 0,
137 },
138 dataPointWidth: 0.6,
139 strokeThickness: 2,
140 paletteProvider: new ColumnPaletteProvider(0),
141 animation: new WaveAnimation({ duration: 800, zeroLine: 0, fadeEffect: true }),
142 });
143 sciChartSurface.renderableSeries.add(polarColumn);
144
145 sciChartSurface.chartModifiers.add(
146 new PolarPanModifier(),
147 new PolarZoomExtentsModifier(),
148 new PolarMouseWheelZoomModifier()
149 );
150
151 return { sciChartSurface, wasmContext };
152};
153This example demonstrates how to create a Polar Column Chart with category axis labels in JavaScript using SciChart.js. The visualization displays UK consumer price changes as radial columns with color-coded positive/negative values.
The chart uses a PolarCategoryAxis for angular positioning of food categories and a PolarNumericAxis for radial value display. Data is rendered via PolarColumnRenderableSeries with a custom ColumnPaletteProvider that colors columns differently above/below a threshold.
Key features include:
The implementation follows SciChart's async initialization pattern for optimal performance. Proper cleanup is handled via surface disposal. For production use, consider data streaming techniques for dynamic updates.

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