Creates a JavaScript Windrose Column Chart using SciChart.js, via PolarStackedColumnRenderableSeries and a custom axis LabelProvider for cardinal directions.
This plot type is Known As: Wind Rose Chart and Wind Direction Chart or Wind Speed Chart.
drawExample.ts
index.html
vanilla.ts
theme.ts
1import {
2 PolarMouseWheelZoomModifier,
3 PolarZoomExtentsModifier,
4 PolarPanModifier,
5 XyDataSeries,
6 PolarNumericAxis,
7 SciChartPolarSurface,
8 EPolarAxisMode,
9 NumberRange,
10 EAxisAlignment,
11 PolarStackedColumnCollection,
12 PolarStackedColumnRenderableSeries,
13 TFormatLabelFn,
14 NumericLabelProvider,
15 EDataPointWidthMode,
16 WaveAnimation
17} from "scichart";
18import { appTheme } from "../../../theme";
19
20function getBiasedRandomWalkInBounds(min: number, max: number, count: number) {
21 // Generate the base random walk
22 const baseValues = [min];
23 for (let i = 1; i < count; i++) {
24 const next = baseValues[i - 1] + Math.random() - 0.5;
25 baseValues.push(Math.min(max, Math.max(min, next)));
26 }
27
28 // Apply an angular bias so that the random walk values become
29 return baseValues.map((val, i) => {
30 const angle = (i * 360) / count;
31 const angleRad = (angle * Math.PI) / 180;
32 // bias ranges from 0.5 to 1.5: peaks at 0°/180°, dips at 90°/270°
33 const bias = 1 + 0.3 * Math.sin(2 * angleRad);
34 return val * bias;
35 });
36}
37
38/**
39 * Custom label provider that displays compass directions at 45 degree intervals,
40 * if any label value is NOT from `[0, 45, 90, 135, 180, 225, 270, 315]` it will be a decimal.
41 */
42class CustomNESWLabelProvider extends NumericLabelProvider {
43 public LABELS = ["N", "NE", "E", "SE", "S", "SW", "W", "NW"];
44
45 public get formatLabel(): TFormatLabelFn {
46 return (dataValue: number) => {
47 if (dataValue % 45 === 0) {
48 return this.LABELS[dataValue / 45];
49 }
50 return dataValue.toFixed(0) + "°";
51 };
52 }
53}
54
55const COLUMN_COUNT = 24;
56
57export const drawExample = async (rootElement: string | HTMLDivElement) => {
58 const { sciChartSurface, wasmContext } = await SciChartPolarSurface.create(rootElement, {
59 theme: appTheme.SciChartJsTheme,
60 });
61
62 const radialYAxis = new PolarNumericAxis(wasmContext, {
63 axisAlignment: EAxisAlignment.Right,
64 polarAxisMode: EPolarAxisMode.Radial,
65 drawMinorGridLines: false,
66 drawMajorTickLines: false,
67 drawMinorTickLines: false,
68 majorGridLineStyle: {
69 color: appTheme.DarkIndigo,
70 strokeThickness: 1
71 },
72 labelStyle: {
73 color: "white"
74 },
75 startAngle: Math.PI / 2, // draw labels at 12 o'clock
76 autoTicks: false,
77 majorDelta: 1,
78 labelPrecision: 0,
79 innerRadius: 0.05 // center hole
80 });
81 sciChartSurface.yAxes.add(radialYAxis);
82
83 const polarXAxis = new PolarNumericAxis(wasmContext, {
84 polarAxisMode: EPolarAxisMode.Angular,
85 visibleRange: new NumberRange(0, 360),
86 flippedCoordinates: true, // go clockwise
87 startAngle: Math.PI / 2, // start at 12 o'clock
88 axisAlignment: EAxisAlignment.Top,
89 useNativeText: true,
90 labelProvider: new CustomNESWLabelProvider(),
91 autoTicks: false,
92 majorDelta: 15,
93 drawMinorGridLines: false,
94 zoomExtentsToInitialRange: true
95 });
96 sciChartSurface.xAxes.add(polarXAxis);
97
98 const xValues = Array.from({length: COLUMN_COUNT}, (_, i) => i * 360 / COLUMN_COUNT); // [0, 10, ..., 350],
99 const yValues = [
100 getBiasedRandomWalkInBounds(1, 2, COLUMN_COUNT),
101 getBiasedRandomWalkInBounds(0.3, 1, COLUMN_COUNT),
102 getBiasedRandomWalkInBounds(0.3, 1, COLUMN_COUNT),
103 getBiasedRandomWalkInBounds(0.5, 2, COLUMN_COUNT),
104 getBiasedRandomWalkInBounds(0.2, 0.4, COLUMN_COUNT),
105 ];
106
107 const COLORS = [
108 appTheme.DarkIndigo,
109 appTheme.Indigo,
110 appTheme.VividGreen,
111 appTheme.VividOrange,
112 appTheme.VividPink,
113 ]
114
115 const collection = new PolarStackedColumnCollection(wasmContext, {
116 isOneHundredPercent: false,
117 });
118 collection.animation = new WaveAnimation({ duration: 1000, fadeEffect: true });
119
120 for(let i = 0; i < yValues.length; i++) {
121 const dataSeries = new XyDataSeries(wasmContext, { xValues, yValues: yValues[i] });
122 const polarColumn = new PolarStackedColumnRenderableSeries(wasmContext, {
123 dataSeries,
124 fill: COLORS[i],
125 stroke: appTheme.DarkIndigo,
126 strokeThickness: 2,
127 dataPointWidthMode: EDataPointWidthMode.Range,
128 });
129 collection.add(polarColumn);
130 }
131 sciChartSurface.renderableSeries.add(collection);
132
133 sciChartSurface.chartModifiers.add(
134 new PolarPanModifier(),
135 new PolarZoomExtentsModifier(),
136 new PolarMouseWheelZoomModifier()
137 );
138
139 return { sciChartSurface, wasmContext };
140};This example demonstrates how to create a Polar Windrose Column Chart using SciChart.js in JavaScript. The chart visualizes directional data with stacked columns in a polar coordinate system, commonly used for wind speed/direction analysis.
The chart uses SciChartPolarSurface with PolarNumericAxis for radial and angular axes. A custom CustomNESWLabelProvider displays compass directions. Data is generated via getBiasedRandomWalkInBounds function to create realistic wind patterns.
The implementation uses PolarStackedColumnCollection with multiple PolarStackedColumnRenderableSeries for stacked visualization. Interactive features include PolarPanModifier and PolarZoomExtentsModifier.
The example follows async initialization pattern with proper cleanup. Developers can extend this by adding real-time data updates or customizing the WaveAnimation effects.

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