Demonstrates how to create a React Chart with Logarithmic axis using SciChart.js, High Performance JavaScript Charts
drawExample.ts
index.tsx
ExampleDataProvider.ts
theme.ts
1import {
2 ENumericFormat,
3 EllipsePointMarker,
4 FastLineRenderableSeries,
5 LegendModifier,
6 LogarithmicAxis,
7 MouseWheelZoomModifier,
8 NumericAxis,
9 RubberBandXyZoomModifier,
10 SciChartSurface,
11 SweepAnimation,
12 XyDataSeries,
13 Thickness,
14 ZoomExtentsModifier,
15} from "scichart";
16import { appTheme } from "../../../theme";
17import { ExampleDataProvider } from "../../../ExampleData/ExampleDataProvider";
18
19const Y_AXIS_LINEAR_ID = "Y_AXIS_LINEAR_ID";
20const X_AXIS_LINEAR_ID = "X_AXIS_LINEAR_ID";
21
22export const drawExample = async (rootElement: string | HTMLDivElement) => {
23 // Create a SciChartSurface
24 const { sciChartSurface, wasmContext } = await SciChartSurface.create(rootElement, {
25 theme: {
26 ...appTheme.SciChartJsTheme,
27 majorGridLineBrush: appTheme.MutedSkyBlue + "55",
28 minorGridLineBrush: appTheme.MutedSkyBlue + "22",
29 },
30 title: "Logarithmic X & Y Axis",
31 titleStyle: {
32 fontSize: 20,
33 fontWeight: "bold",
34 placeWithinChart: true,
35 color: appTheme.ForegroundColor + "C4",
36 padding: Thickness.fromString("10 0 4 0"),
37 },
38 });
39
40 // Create an X and Y Axis
41 const xAxisLogarithmic = new LogarithmicAxis(wasmContext, {
42 logBase: 10,
43 labelFormat: ENumericFormat.Scientific,
44 labelPrecision: 2,
45 minorsPerMajor: 10,
46 useNativeText: false,
47 });
48 sciChartSurface.xAxes.add(xAxisLogarithmic);
49
50 // The LogarithmicAxis will apply logarithmic scaling and labelling to your data.
51 // Simply replace a NumericAxis for a LogarithmicAxis on X or Y to apply this scaling
52 // Note options logBase, labelFormat which lets you specify exponent on labels
53 const yAxisLogarithmic = new LogarithmicAxis(wasmContext, {
54 logBase: 10,
55 labelFormat: ENumericFormat.Scientific,
56 labelPrecision: 2,
57 minorsPerMajor: 10,
58 useNativeText: false,
59 });
60 sciChartSurface.yAxes.add(yAxisLogarithmic);
61
62 const xAxisLinear = new NumericAxis(wasmContext, {
63 labelFormat: ENumericFormat.Decimal,
64 labelPrecision: 2,
65 isVisible: false,
66 id: X_AXIS_LINEAR_ID,
67 });
68 sciChartSurface.xAxes.add(xAxisLinear);
69
70 const yAxisLinear = new NumericAxis(wasmContext, {
71 labelFormat: ENumericFormat.Decimal,
72 labelPrecision: 2,
73 isVisible: false,
74 id: Y_AXIS_LINEAR_ID,
75 });
76 sciChartSurface.yAxes.add(yAxisLinear);
77
78 // Create some data
79 const data0 = ExampleDataProvider.getExponentialCurve(2, 100);
80 const data1 = ExampleDataProvider.getExponentialCurve(2.2, 100);
81 const data2 = ExampleDataProvider.getExponentialCurve(2.4, 100);
82
83 sciChartSurface.renderableSeries.add(
84 new FastLineRenderableSeries(wasmContext, {
85 dataSeries: new XyDataSeries(wasmContext, {
86 xValues: data0.xValues,
87 yValues: data0.yValues,
88 dataSeriesName: "y = x ^ 2",
89 }),
90 stroke: appTheme.VividSkyBlue,
91 strokeThickness: 3,
92 pointMarker: new EllipsePointMarker(wasmContext, {
93 width: 7,
94 height: 7,
95 fill: appTheme.VividSkyBlue,
96 strokeThickness: 0,
97 }),
98 animation: new SweepAnimation({ duration: 800, delay: 0 }),
99 })
100 );
101
102 sciChartSurface.renderableSeries.add(
103 new FastLineRenderableSeries(wasmContext, {
104 dataSeries: new XyDataSeries(wasmContext, {
105 xValues: data1.xValues,
106 yValues: data1.yValues,
107 dataSeriesName: "y = x ^ 2.2",
108 }),
109 stroke: appTheme.VividPink,
110 strokeThickness: 3,
111 pointMarker: new EllipsePointMarker(wasmContext, {
112 width: 7,
113 height: 7,
114 fill: appTheme.VividPink,
115 strokeThickness: 0,
116 }),
117 animation: new SweepAnimation({ duration: 800, delay: 0 }),
118 })
119 );
120
121 sciChartSurface.renderableSeries.add(
122 new FastLineRenderableSeries(wasmContext, {
123 dataSeries: new XyDataSeries(wasmContext, {
124 xValues: data2.xValues,
125 yValues: data2.yValues,
126 dataSeriesName: "y = x ^ 2.4",
127 }),
128 stroke: appTheme.VividOrange,
129 strokeThickness: 3,
130 pointMarker: new EllipsePointMarker(wasmContext, {
131 width: 7,
132 height: 7,
133 fill: appTheme.VividOrange,
134 strokeThickness: 0,
135 }),
136 animation: new SweepAnimation({ duration: 800, delay: 0 }),
137 })
138 );
139
140 // Add some interactivity modifiers
141 sciChartSurface.chartModifiers.add(
142 new RubberBandXyZoomModifier(),
143 new MouseWheelZoomModifier(),
144 new ZoomExtentsModifier(),
145 new LegendModifier({ showCheckboxes: false })
146 );
147
148 sciChartSurface.zoomExtents();
149 return {
150 sciChartSurface,
151 wasmContext,
152 yAxisLogarithmic,
153 yAxisLinear,
154 xAxisLinear,
155 xAxisLogarithmic,
156 };
157};
158This example demonstrates how to create a high performance chart using SciChart.js in a React application. It focuses on implementing logarithmic axes on both the X and Y axes and provides functionality for dynamically switching between logarithmic and linear representations using interactive controls.
The chart is implemented using the <SciChartReact/> component for React integration, with asynchronous initialization of the SciChartSurface ensuring a responsive and efficient setup. Interactive modifiers such as RubberBandZoomModifier, MouseWheelZoomModifier, and ZoomExtentsModifier are integrated to enable advanced chart interactions. Custom point markers and sweep animations are used to enhance visual feedback. For detailed information on integrating SciChart.js with React, refer to the React Charts with SciChart.js: Introducing "SciChart React" documentation.
The dynamic axis switching is managed by toggling the visibility and primary status of LogarithmicAxis and linear NumericAxis. This approach updates the FastLineRenderableSeries with the correct xAxisId and yAxisId properties based on the selected configuration. This method aligns with best practices described in the LogarithmicAxis Documentation - SciChart resource.
The example offers dynamic update capabilities by allowing users to switch between three configurations: Logarithmic on both axes, Logarithmic X with Linear Y, and Linear on both axes. It leverages advanced features such as custom point markers for data visualization and sweep animations for smooth transitions. The inclusion of interactive modifiers ensures that users have control over zooming and panning, enhancing overall usability and performance.
The integration utilizes Material-UI's ToggleButtonGroup within the React environment to facilitate dynamic chart controls. This effective combination of React state management and SciChart.js configuration demonstrates scalable best practices for real-time data visualization. Developers can learn more about asynchronous initialization and component reuse in React from the Creating a SciChart React Component from the Ground Up guide. Additionally, the use of interactive behaviors is further detailed in the Tutorial 03 - Adding Zooming, Panning Behavior documentation, providing valuable insights for optimizing performance in dynamic charting applications.

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