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
43 ? this.positiveStroke
44 : this.negativeStroke;
45 }
46
47 overrideFillArgb(xValue: number, yValue: number, index: number, opacity: number, metadata: any) {
48 return yValue < this.threshold
49 ? this.positiveFillColor
50 : this.negativeFillColor;
51 }
52}
53
54const DATA_UK = {
55 labels: [
56 "Poultry", "Fruit", "Milk", "Cheese", "Pizza", "Meat", "Cereals",
57 "Eggs", "Oats", "Lamb", "Butter", "Chocolate", "Sheep", "OliveOil"
58 ],
59 data: [
60 -18.5, -12.5, -11.7, -9.2, -7.2, -6.8, -5.9,
61 7.8, 9.1, 10.2, 10.2, 11.7, 17.6, 22.1
62 ]
63}
64
65export const drawExample = async (rootElement: string | HTMLDivElement) => {
66 const { sciChartSurface, wasmContext } = await SciChartPolarSurface.create(rootElement, {
67 theme: appTheme.SciChartJsTheme,
68 title: "Cunsumer prices relative to past year in UK, 2024",
69 titleStyle: {
70 fontSize: 24,
71 }
72 });
73
74 const radialYAxis = new PolarNumericAxis(wasmContext, {
75 polarAxisMode: EPolarAxisMode.Radial,
76 axisAlignment: EAxisAlignment.Right,
77 visibleRange: new NumberRange(
78 Math.min(...DATA_UK.data),
79 Math.max(...DATA_UK.data) + 4 // Add some padding to fit data-label for topmost column
80 ),
81 drawMinorTickLines: false,
82 drawMajorTickLines: false,
83 useNativeText: true,
84 drawMinorGridLines: false,
85 zoomExtentsToInitialRange: true,
86 labelPostfix: "%",
87 labelPrecision: 0,
88 labelStyle: {
89 color: "white",
90 },
91 innerRadius: 0.15,
92 startAngle: Math.PI / 2,
93 });
94 sciChartSurface.yAxes.add(radialYAxis);
95
96 const polarXAxis = new PolarCategoryAxis(wasmContext, {
97 polarAxisMode: EPolarAxisMode.Angular,
98 axisAlignment: EAxisAlignment.Top,
99 polarLabelMode: EPolarLabelMode.Parallel,
100 visibleRange: new NumberRange(-1, DATA_UK.data.length),
101 drawMajorGridLines: false,
102 drawMinorGridLines: false,
103 useNativeText: true,
104 zoomExtentsToInitialRange: true,
105 flippedCoordinates: true,
106 labelPrecision: 0,
107 labelStyle: {
108 color: "white",
109 },
110 totalAngle: Math.PI * 2,
111 startAngle: Math.PI / 2,
112 autoTicks: false,
113 majorDelta: 1,
114 labels: DATA_UK.labels
115 });
116 sciChartSurface.xAxes.add(polarXAxis);
117
118 const polarColumn = new PolarColumnRenderableSeries(wasmContext, {
119 dataSeries: new XyDataSeries(wasmContext, {
120 xValues: Array.from({ length: DATA_UK.data.length }, (_, i) => i),
121 yValues: DATA_UK.data
122 }),
123 dataLabels: {
124 style: {
125 fontSize: 14,
126 padding: Thickness.fromNumber(0),
127 },
128 polarLabelMode: EPolarLabelMode.Parallel,
129 color: "white",
130 precision: 0,
131 },
132 dataPointWidth: 0.6,
133 strokeThickness: 2,
134 paletteProvider: new ColumnPaletteProvider(0),
135 animation: new WaveAnimation({ duration: 800, zeroLine: 0, fadeEffect: true }),
136 });
137 sciChartSurface.renderableSeries.add(polarColumn);
138
139 sciChartSurface.chartModifiers.add(
140 new PolarPanModifier(),
141 new PolarZoomExtentsModifier(),
142 new PolarMouseWheelZoomModifier()
143 );
144
145 return { sciChartSurface, wasmContext };
146};This 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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