Demonstrates how to create a Angular Chart with BaseValue axes using SciChart.js to build non-linear and adaptive scales
drawExample.ts
angular.ts
ExampleDataProvider.ts
theme.ts
1import {
2 AnnotationDragDeltaEventArgs,
3 BaseValueAxis,
4 CoordinateCalculatorBase,
5 CursorModifier,
6 ELabelPlacement,
7 EllipsePointMarker,
8 EXyDirection,
9 FastLineRenderableSeries,
10 MouseWheelZoomModifier,
11 NumberRange,
12 NumericAxis,
13 SciChartSurface,
14 VerticalLineAnnotation,
15 XDataSeries,
16 XyDataSeries,
17 ZoomExtentsModifier,
18 ZoomPanModifier,
19} from "scichart";
20import { ExampleDataProvider } from "../../../ExampleData/ExampleDataProvider";
21import { appTheme } from "../../../theme";
22
23/**
24 * Generate baseValues for a non-linear scale based on a power law
25 * @param visibleRange The visible range to generate values for
26 * @param base The base for the power law (e.g., 10 for powers of 10)
27 * @returns An array of values based on the power law, including zero if in range
28 */
29const generatePowerLawBaseValues = (
30 visibleRange: NumberRange,
31 base: number = 10,
32 minimumPower: number = 1
33): number[] => {
34 const baseValues: number[] = [];
35
36 // Generate negative powers
37 if (visibleRange.min < 0) {
38 const lowPower = Math.ceil(Math.log(Math.abs(visibleRange.min)) / Math.log(base));
39 const max =
40 visibleRange.max >= 0 ? minimumPower : Math.floor(Math.log(Math.abs(visibleRange.max)) / Math.log(base));
41 for (let power = lowPower; power >= minimumPower; power--) {
42 const value = -Math.pow(base, power);
43 baseValues.push(value);
44 }
45 }
46
47 // Add zero if it's within the range
48 if (visibleRange.min <= 0 && visibleRange.max >= 0) {
49 baseValues.push(0);
50 }
51
52 // Generate positive powers
53 if (visibleRange.max > 0) {
54 const highPower = Math.ceil(Math.log(Math.abs(visibleRange.max)) / Math.log(base));
55 const min =
56 visibleRange.min <= 0 ? minimumPower : Math.floor(Math.log(Math.abs(visibleRange.min)) / Math.log(base));
57 for (let power = minimumPower; power <= highPower; power++) {
58 const value = Math.pow(base, power);
59 baseValues.push(value);
60 }
61 }
62 return baseValues;
63};
64
65export const drawExample = async (rootElement: string | HTMLDivElement) => {
66 const { sciChartSurface, wasmContext } = await SciChartSurface.create(rootElement, {
67 theme: appTheme.SciChartJsTheme,
68 });
69
70 const xAxis = new BaseValueAxis(wasmContext, {
71 id: "BaseValueAxis",
72 visibleRange: new NumberRange(-0.1, 10.1),
73 flippedCoordinates: false,
74 labelPrecision: 3,
75 cursorLabelPrecision: 2,
76 baseValues: [0, 1, 2, 3, 4, 4.5, 4.6, 4.7, 4.8, 4.9, 5, 5.1, 5.2, 5.3, 5.4, 5.5, 6, 7, 8, 9, 10],
77 // autoTicks: true,
78 // majorDelta: 10,
79 // minorDelta: 2,
80 // labelProvider: new NumericLabelProvider()
81 });
82 sciChartSurface.xAxes.add(xAxis);
83 const baseXValues = xAxis.getBaseValues() as XDataSeries;
84
85 // Generate baseYValues using power law with base 10
86 const initialVisibleRange = new NumberRange(-500, 500);
87 const powerLawBase = 10;
88 const baseYValueSeries = new XDataSeries(wasmContext, {
89 xValues: generatePowerLawBaseValues(initialVisibleRange, powerLawBase),
90 });
91
92 const yAxis = new BaseValueAxis(wasmContext, {
93 visibleRange: initialVisibleRange,
94 minorsPerMajor: 9,
95 baseValues: baseYValueSeries,
96 autoTicks: false,
97 });
98 yAxis.visibleRangeChanged.subscribe((data) => {
99 baseYValueSeries.clear();
100 baseYValueSeries.appendRange(
101 generatePowerLawBaseValues(yAxis.visibleRange.union(initialVisibleRange), powerLawBase)
102 );
103 });
104
105 yAxis.tickProvider.getMajorTicks = (
106 minorDelta: number,
107 majorDelta: number,
108 visibleRange: NumberRange,
109 coordCalc?: CoordinateCalculatorBase
110 ) => {
111 const ticks = generatePowerLawBaseValues(visibleRange, powerLawBase);
112 return ticks;
113 };
114
115 yAxis.tickProvider.getMinorTicks = (
116 minorDelta: number,
117 majorDelta: number,
118 visibleRange: NumberRange,
119 coordCalc?: CoordinateCalculatorBase
120 ) => {
121 const majors = generatePowerLawBaseValues(visibleRange, powerLawBase);
122 const minors: number[] = [];
123 for (let i = 0; i < majors.length - 1; i++) {
124 const cur = majors[i];
125 const next = majors[i + 1];
126 const mpm = yAxis.minorsPerMajor + (next === 0 || cur === 0 ? 1 : 0);
127 const step = (next - cur) / mpm;
128 for (let j = 1; j < mpm; j++) {
129 minors.push(cur + step * j);
130 }
131 }
132 return minors;
133 };
134
135 sciChartSurface.yAxes.add(yAxis);
136
137 const lineSeries = new FastLineRenderableSeries(wasmContext, {
138 stroke: "white",
139 pointMarker: new EllipsePointMarker(wasmContext, {
140 width: 9,
141 height: 9,
142 strokeThickness: 0,
143 fill: "steelblue",
144 stroke: "LightSteelBlue",
145 }),
146 });
147
148 lineSeries.rolloverModifierProps.tooltipTextColor = "black";
149
150 sciChartSurface.renderableSeries.add(lineSeries);
151
152 const { xValues, yValues } = ExampleDataProvider.getNoisySinewave(1000, 10, 10, 150, 20);
153 lineSeries.dataSeries = new XyDataSeries(wasmContext, { xValues: xValues, yValues });
154
155 // We use a hidden numeric axis synced to the BaseValue x axis to position the vertical line
156 const linearXAxis = new NumericAxis(wasmContext, {
157 isVisible: false,
158 visibleRange: xAxis.visibleRange,
159 });
160 sciChartSurface.xAxes.add(linearXAxis);
161 xAxis.visibleRangeChanged.subscribe((data) => (linearXAxis.visibleRange = data.visibleRange));
162
163 const magnifierAnnotation = new VerticalLineAnnotation({
164 xAxisId: linearXAxis.id,
165 x1: 5,
166 stroke: appTheme.MutedOrange,
167 strokeThickness: 3,
168 labelValue: "Drag Me!",
169 showLabel: true,
170 labelPlacement: ELabelPlacement.Top,
171 isEditable: true,
172 onDrag: (args: AnnotationDragDeltaEventArgs) => {
173 // Update the BaseValues adding more points around the annotation x coordinate, effectively zooming in that area and compressing elsewhere
174 const newBaseValues: number[] = [];
175 for (let x = 0; x <= 10; x++) {
176 if (x < args.sender.x1 - 0.5 || x > args.sender.x1 + 0.5) {
177 newBaseValues.push(x);
178 } else {
179 for (let d = -0.5; d <= 0.5; d += 0.1) {
180 newBaseValues.push(args.sender.x1 + d);
181 }
182 }
183 }
184 baseXValues.clear();
185 baseXValues.appendRange(newBaseValues);
186 },
187 });
188
189 sciChartSurface.annotations.add(magnifierAnnotation);
190
191 sciChartSurface.chartModifiers.add(
192 new ZoomPanModifier({ xyDirection: EXyDirection.XyDirection, includedXAxisIds: [xAxis.id] })
193 );
194 sciChartSurface.chartModifiers.add(new ZoomExtentsModifier({ includedXAxisIds: [xAxis.id] }));
195 sciChartSurface.chartModifiers.add(new MouseWheelZoomModifier({ includedXAxisIds: [xAxis.id] }));
196 sciChartSurface.chartModifiers.add(new CursorModifier({ showAxisLabels: true }));
197
198 return { sciChartSurface, wasmContext };
199};
200This example demonstrates how to use BaseValueAxis in an Angular application to create non-linear and adaptive chart axes using SciChart.js. BaseValue axes decouple numeric values from physical spacing, allowing developers to reshape the axis scale while preserving accurate numeric interaction.
The chart is hosted inside an Angular component using the scichart-angular integration. A custom initialization function creates a SciChartSurface and configures BaseValueAxis instances for both the X and Y axes.
The X-axis uses explicitly defined base values, while the Y-axis dynamically generates base values using a power-law algorithm. Custom tick providers are implemented to control major and minor tick placement, enabling precise logarithmic-style scaling.
A draggable vertical annotation dynamically modifies the X-axis base values, effectively expanding the scale around the annotation while compressing other regions. This illustrates how BaseValue axes can be used to implement interactive magnification and adaptive scaling techniques.
Non-Linear Axis Control: Build logarithmic, exponential, or irregular scales without relying on fixed log axes.
Dynamic Data-Driven Scaling: Base values can be updated in response to user interaction or data changes.
Accurate Interaction Model: Cursor labels, zooming, and annotations remain consistent with the underlying numeric values.
Enterprise-Grade Performance: SciChart’s WebAssembly engine ensures smooth rendering and interaction even with complex axis logic.
This example follows best practices for integrating advanced axis behavior into Angular applications, including safe lifecycle management and dynamic axis updates. Developers building engineering, financial, or scientific dashboards can use this pattern as a foundation. For more information, refer to the SciChart Angular documentation and the BaseValue Axis documentation.

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