Demonstrates how to create a React Spline Band Chart or High-Low Fill using SciChart.js, our High Performance JavaScript Chart Software
drawExample.ts
index.tsx
stackedMountainChartData.ts
ExampleDataProvider.ts
theme.ts
1import {
2 AxisMarkerAnnotation,
3 EAxisAlignment,
4 ECoordinateMode,
5 EDragMode,
6 EHorizontalAnchorPoint,
7 ELegendOrientation,
8 ELegendPlacement,
9 EllipsePointMarker,
10 FadeAnimation,
11 LegendModifier,
12 MouseWheelZoomModifier,
13 NativeTextAnnotation,
14 NumberRange,
15 NumericAxis,
16 ScaleAnimation,
17 SciChartSurface,
18 SplineBandRenderableSeries,
19 XyyBezierRenderDataTransform,
20 XyyDataSeries,
21 YAxisDragModifier,
22 ZoomExtentsModifier,
23 ZoomPanModifier,
24} from "scichart";
25// import { XyyBezierRenderDataTransform } from "scichart/Charting/Visuals/RenderableSeries/RenderDataTransforms/BezierRenderDataTransform";
26import { ExampleDataProvider } from "../../../ExampleData/ExampleDataProvider";
27import { appTheme } from "../../../theme";
28//import { xValues } from "../StackedMountainChart/data/stackedMountainChartData";
29
30
31export const drawExample = async (rootElement: string | HTMLDivElement) => {
32
33 // Create a SciChartSurface
34 const { wasmContext, sciChartSurface } = await SciChartSurface.create(rootElement, {
35 theme: appTheme.SciChartJsTheme,
36 });
37
38 // Add an XAxis, YAxis
39 sciChartSurface.xAxes.add(new NumericAxis(wasmContext, { axisAlignment: EAxisAlignment.Top }));
40 sciChartSurface.yAxes.add(
41 new NumericAxis(wasmContext, {
42 axisAlignment: EAxisAlignment.Left,
43 visibleRange: new NumberRange(-1.75, 0.75),
44 backgroundColor: appTheme.VividSkyBlue + "33",
45 labelStyle: { color: appTheme.VividOrange },
46 majorTickLineStyle: { color: appTheme.VividOrange },
47 })
48 );
49 sciChartSurface.yAxes.add(
50 new NumericAxis(wasmContext, {
51 axisAlignment: EAxisAlignment.Right,
52 id: "y2",
53 visibleRange: new NumberRange(-0.9, 1.6),
54 backgroundColor: appTheme.VividPurple + "33",
55 labelStyle: { color: appTheme.VividRed },
56 majorTickLineStyle: { color: appTheme.VividRed },
57 })
58 );
59
60 // The spline bandseries requires a special dataseries type called XyyDataSeries
61 // This stores X, Y1, Y2 point data for the two lines in the band
62 const yData = ExampleDataProvider.getDampedSinewave(0, 0.9, 0, 0.002, 1000, 17);
63 const y1Data = ExampleDataProvider.getDampedSinewave(0, 0.9, 0, 0.002, 1000, 16);
64
65 const xValues: number[] = [];
66 const yValues: number[] = [];
67 const y1Values: number[] = [];
68
69 for (let i = 0; i < 20; i++) {
70 const index = i * 50;
71 xValues.push(yData.xValues[index]);
72 yValues.push(yData.yValues[index]);
73 y1Values.push(y1Data.yValues[index]);
74 }
75
76 // Create the band series and add to the chart
77 const rendSeries = new SplineBandRenderableSeries(wasmContext, {
78 dataSeries: new XyyDataSeries(wasmContext, { xValues, yValues, y1Values, dataSeriesName: "Default Spline" }),
79 strokeThickness: 3,
80 fill: appTheme.VividOrange + "33",
81 fillY1: appTheme.VividSkyBlue + "33",
82 stroke: appTheme.VividOrange,
83 strokeY1: appTheme.VividSkyBlue,
84 interpolationPoints: 20, // Choose the number of points to interpolate for smoothing
85 pointMarker: new EllipsePointMarker(wasmContext, {
86 width: 7,
87 height: 7,
88 fill: appTheme.PaleSkyBlue,
89 stroke: appTheme.VividSkyBlue,
90 }),
91 animation: new ScaleAnimation({ duration: 800, zeroLine: 0, fadeEffect: true }),
92 });
93
94 sciChartSurface.renderableSeries.add(rendSeries);
95
96 const bezierSeries = new SplineBandRenderableSeries(wasmContext, {
97 dataSeries: new XyyDataSeries(wasmContext, {
98 xValues,
99 yValues,
100 y1Values,
101 dataSeriesName: "XyyBezier (Range Restricted)",
102 }),
103 stroke: appTheme.VividPurple,
104 strokeY1: appTheme.VividRed,
105 fill: appTheme.VividPurple + "33",
106 fillY1: appTheme.VividRed + "33",
107 pointMarker: new EllipsePointMarker(wasmContext, {
108 width: 7,
109 height: 7,
110 fill: appTheme.PaleSkyBlue,
111 stroke: appTheme.VividSkyBlue,
112 }),
113 yAxisId: "y2",
114 strokeThickness: 3,
115 interpolationPoints: 20, // Choose the number of points to interpolate for smoothing
116 animation: new ScaleAnimation({ duration: 800, zeroLine: 0, fadeEffect: true }),
117 });
118 const bezierTransform = new XyyBezierRenderDataTransform(
119 bezierSeries,
120 wasmContext,
121 [bezierSeries.drawingProviders[0]],
122 { interpolationPoints: 20, curvature: 0.5 }
123 );
124 bezierSeries.renderDataTransform = bezierTransform;
125 sciChartSurface.renderableSeries.add(bezierSeries);
126
127 const curvatureAnnotation = new AxisMarkerAnnotation({
128 yCoordinateMode: ECoordinateMode.Relative,
129 y1: 0.5,
130 yAxisId: "y2",
131 formattedValue: "Bezier Curvature 0.5",
132 backgroundColor: appTheme.VividPurple,
133 isEditable: true,
134 onDrag: (args) => {
135 bezierTransform.curvature = curvatureAnnotation.y1;
136 curvatureAnnotation.formattedValue = "Bezier Curvature " + curvatureAnnotation.y1.toFixed(2);
137 },
138 });
139 sciChartSurface.annotations.add(curvatureAnnotation);
140
141 sciChartSurface.annotations.add(
142 new NativeTextAnnotation({
143 xCoordinateMode: ECoordinateMode.Relative,
144 yCoordinateMode: ECoordinateMode.Relative,
145 x1: 0.9,
146 y1: 0.9,
147 horizontalAnchorPoint: EHorizontalAnchorPoint.Right,
148 text: "Drag the left or right y axis to overlay and compare the series",
149 fontSize: 16,
150 })
151 );
152
153 // Optional: Add some interactivity modifiers
154 sciChartSurface.chartModifiers.add(
155 new YAxisDragModifier({ dragMode: EDragMode.Panning }),
156 new MouseWheelZoomModifier(),
157 new LegendModifier({
158 orientation: ELegendOrientation.Vertical,
159 placement: ELegendPlacement.TopRight,
160 showCheckboxes: true,
161 })
162 );
163
164 return { wasmContext, sciChartSurface };
165};
166This example demonstrates how to render a Spline Band Series Chart using SciChart.js in a React environment. The chart displays two spline band series with smooth interpolations and dynamic annotations, enabling the visualization of overlapping high-low filled areas. The example leverages asynchronous initialization for efficient resource loading and incorporates interactive features for enhanced user engagement.
The chart is implemented using a React functional component that integrates the SciChart.js library through the <SciChartReact/> component. The asynchronous initialization of the SciChartSurface is achieved with async/await in the custom drawExample function, following practices outlined in Creating a SciChart React Component from the Ground Up. The series data is constructed using the XyyDataSeries which is then visualized via a SplineBandRenderableSeries. In addition, a Bezier transform, implemented through the XyyBezierRenderDataTransform, enables smooth interpolation of data points, enhancing the visual quality of the chart.
The example showcases several advanced features including real-time updates via draggable annotations (AxisMarkerAnnotation) and interactive chart modifiers like YAxisDragModifier and MouseWheelZoomModifier. The inclusion of ScaleAnimation provides smooth transition effects when the chart is rendered. Moreover, multiple Y-axes are configured with custom styling to compare different data ranges side-by-side. For more details on spline band chart specifics, refer to The Spline (Smoothed) Band Series Type.
React integration is streamlined by using the dedicated SciChart React component, which encapsulates the complexity of chart initialization and rendering. The asynchronous model not only improves load times but also facilitates better resource management and cleanup. Developers are encouraged to explore advanced features such as interactive annotations and custom transforms for enhanced data visualization, while following best practices for component lifecycle and performance optimization as highlighted in the React Charts with SciChart.js documentation. Additionally, using built-in chart modifiers improves interactivity and usability, contributing to modern, responsive charting solutions.

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