The example on this page demonstrates how to create a JavaScript Stacked Column Chart using our feature-rich JavaScript Chart Library, SciChart.js.
drawExample.ts
index.tsx
theme.ts
1import {
2 ENumericFormat,
3 MouseWheelZoomModifier,
4 NumericAxis,
5 SciChartSurface,
6 StackedColumnCollection,
7 StackedColumnRenderableSeries,
8 WaveAnimation,
9 XyDataSeries,
10 ZoomExtentsModifier,
11 ZoomPanModifier,
12 EColumnDataLabelPosition,
13 IStackedColumnSeriesDataLabelProviderOptions,
14 EVerticalTextPosition,
15 NumberRange,
16 Thickness,
17} from "scichart";
18import { appTheme } from "../../../theme";
19
20export const drawExample = async (rootElement: string | HTMLDivElement) => {
21 // Create a SciChartSurface
22 const { wasmContext, sciChartSurface } = await SciChartSurface.create(rootElement, {
23 theme: appTheme.SciChartJsTheme,
24 });
25
26 // Create XAxis, YAxis
27 sciChartSurface.xAxes.add(
28 new NumericAxis(wasmContext, {
29 labelFormat: ENumericFormat.Decimal,
30 labelPrecision: 0,
31 autoTicks: false,
32 majorDelta: 1,
33 minorDelta: 1,
34 drawMajorGridLines: false,
35 drawMinorGridLines: false,
36 drawMajorBands: false,
37 axisTitle: "Year",
38 })
39 );
40 sciChartSurface.yAxes.add(
41 new NumericAxis(wasmContext, {
42 labelPrecision: 0,
43 growBy: new NumberRange(0, 0.05),
44 axisTitle: "Sales $USD (Billion)",
45 })
46 );
47
48 // Data for the example
49 const xValues = [1992, 1993, 1994, 1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002, 2003];
50 const yValues1 = [10, 13, 7, 16, 4, 6, 20, 14, 16, 10, 24, 11];
51 const yValues2 = [12, 17, 21, 15, 19, 18, 13, 21, 22, 20, 5, 10];
52 const yValues3 = [7, 30, 27, 24, 21, 15, 17, 26, 22, 28, 21, 22];
53 const yValues4 = [16, 10, 9, 8, 22, 14, 12, 27, 25, 23, 17, 17];
54 const yValues5 = [7, 24, 21, 11, 19, 17, 14, 27, 26, 22, 28, 16];
55
56 const dataLabels: IStackedColumnSeriesDataLabelProviderOptions = {
57 color: "#FFfFFF",
58 style: { fontSize: 12, fontFamily: "Arial", padding: new Thickness(0, 0, 2, 0) },
59 precision: 0,
60 positionMode: EColumnDataLabelPosition.Outside,
61 verticalTextPosition: EVerticalTextPosition.Center,
62 };
63
64 // Create some RenderableSeries - for each part of the stacked column
65 // Notice the stackedGroupId. This defines if series are stacked (same), or grouped side by side (different)
66 const rendSeries1 = new StackedColumnRenderableSeries(wasmContext, {
67 dataSeries: new XyDataSeries(wasmContext, { xValues, yValues: yValues1, dataSeriesName: "EU" }),
68 fill: appTheme.VividPurple,
69 stroke: appTheme.PaleSkyBlue,
70 opacity: 0.8,
71 stackedGroupId: "StackedGroupId",
72 dataLabels,
73 });
74
75 const rendSeries2 = new StackedColumnRenderableSeries(wasmContext, {
76 dataSeries: new XyDataSeries(wasmContext, { xValues, yValues: yValues2, dataSeriesName: "Asia" }),
77 fill: appTheme.VividPink,
78 stroke: appTheme.PaleSkyBlue,
79 opacity: 0.8,
80 stackedGroupId: "StackedGroupId",
81 dataLabels,
82 });
83
84 const rendSeries3 = new StackedColumnRenderableSeries(wasmContext, {
85 dataSeries: new XyDataSeries(wasmContext, { xValues, yValues: yValues3, dataSeriesName: "USA" }),
86 fill: appTheme.VividOrange,
87 stroke: appTheme.PaleSkyBlue,
88 opacity: 0.8,
89 stackedGroupId: "StackedGroupId",
90 dataLabels,
91 });
92
93 const rendSeries4 = new StackedColumnRenderableSeries(wasmContext, {
94 dataSeries: new XyDataSeries(wasmContext, { xValues, yValues: yValues4, dataSeriesName: "UK" }),
95 fill: appTheme.VividSkyBlue,
96 stroke: appTheme.PaleSkyBlue,
97 opacity: 0.8,
98 stackedGroupId: "StackedGroupId",
99 dataLabels,
100 });
101
102 const rendSeries5 = new StackedColumnRenderableSeries(wasmContext, {
103 dataSeries: new XyDataSeries(wasmContext, { xValues, yValues: yValues5, dataSeriesName: "Latam" }),
104 fill: appTheme.VividTeal,
105 stroke: appTheme.PaleSkyBlue,
106 opacity: 0.8,
107 stackedGroupId: "StackedGroupId",
108 dataLabels,
109 });
110
111 // To add the series to the chart, put them in a StackedColumnCollection
112 const stackedColumnCollection = new StackedColumnCollection(wasmContext, {
113 dataPointWidth: 0.6,
114 });
115
116 stackedColumnCollection.add(rendSeries1, rendSeries2, rendSeries3, rendSeries4, rendSeries5);
117 stackedColumnCollection.animation = new WaveAnimation({ duration: 1000, fadeEffect: true });
118
119 sciChartSurface.renderableSeries.add(stackedColumnCollection);
120
121 // Add some interactivity modifiers
122 sciChartSurface.chartModifiers.add(
123 new ZoomExtentsModifier(),
124 new ZoomPanModifier({ enableZoom: true }),
125 new MouseWheelZoomModifier()
126 );
127
128 sciChartSurface.zoomExtents();
129
130 const toggleHundredPercentMode = (value: boolean) => {
131 stackedColumnCollection.isOneHundredPercent = value;
132 sciChartSurface.zoomExtents(200);
133 };
134
135 const toggleDataLabels = (areDataLabelsVisible: boolean) => {
136 for (let i = 0; i < 5; i++) {
137 const columnSeries = stackedColumnCollection.get(i);
138 columnSeries.dataLabelProvider.style.fontSize = areDataLabelsVisible ? 0 : 12;
139 }
140 sciChartSurface.invalidateElement();
141 };
142
143 return { sciChartSurface, controls: { toggleHundredPercentMode, toggleDataLabels } };
144};
145This example demonstrates how to create an interactive Stacked Column Chart using SciChart.js with JavaScript. The chart visualizes multiple data series by stacking individual columns, and it allows users to toggle between standard stacked mode and 100% stacked mode, as well as dynamically show or hide data labels.
The chart is initialized asynchronously using async/await, as described in the Getting Started with SciChart JS guide. The implementation creates a SciChartSurface with configured NumericAxis objects for both the X and Y axes. Data series are constructed using the XyDataSeries and rendered as stacked columns via StackedColumnRenderableSeries. These series are grouped into a StackedColumnCollection to enable proper stacking, as outlined in the Stacked Column Series Type documentation. In addition, interactive modifiers such as ZoomExtentsModifier, ZoomPanModifier, and MouseWheelZoomModifier are added to enhance user engagement.
The example includes several advanced features:
By leveraging JavaScript, this implementation adheres to best practices for asynchronous initialization and modular configuration of high-performance WebGL charts. Developers are encouraged to explore the Tutorial 01 - Setting up a npm Project with SciChart.js and Tutorial 01 - Including SciChart.js in an HTML Page using CDN for additional insights on integrating and optimizing SciChart.js in a JavaScript environment.

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