Demonstrates how to use multiple styles on a single series on Angular Charts using SciChart.js, High Performance JavaScript Charts. This uses a RenderDataTransform to split the data so that we can draw the selected points using additional customised drawingProviders. This means that modifiers still see a single series with the original data.
drawExample.ts
index.tsx
theme.ts
1import {
2 BaseRenderDataTransform,
3 XyyPointSeriesResampled,
4 NumberRange,
5 RenderPassData,
6 IPointSeries,
7 XyDataSeries,
8 SciChartSurface,
9 NumericAxis,
10 TrianglePointMarker,
11 XyScatterRenderableSeries,
12 EllipsePointMarker,
13 PointMarkerDrawingProvider,
14 IXyyPointSeries,
15 IPointMarker,
16 FastColumnRenderableSeries,
17 GradientParams,
18 Point,
19 ColumnSeriesDrawingProvider,
20 ZoomExtentsModifier,
21 MouseWheelZoomModifier,
22 DataPointSelectionModifier,
23 LineSeriesDrawingProvider,
24 FastLineRenderableSeries,
25 ILineSeriesDrawingProviderProperties,
26 ELineDrawMode,
27 OhlcPointSeriesResampled,
28 IOhlcPointSeries,
29 RolloverModifier,
30 IPointMetadata,
31 SeriesInfo,
32 NativeTextAnnotation,
33 ECoordinateMode,
34 EHorizontalAnchorPoint,
35 EVerticalAnchorPoint,
36 IStrokePaletteProvider,
37 parseColorToUIntArgb,
38 EStrokePaletteMode,
39 IRenderableSeries,
40 vectorToArrayViewF64,
41} from "scichart";
42import { appTheme } from "../../../theme";
43
44/**
45 * This transform turns xy data into ohlc. Unselected points are in y (close).
46 * Selected points in low for pointmarkers, and selected plus points either side in high for lines.
47 * If you only need this for points or columns, you could transform to Xyy instead
48 */
49class SplitRenderDataTransform extends BaseRenderDataTransform<OhlcPointSeriesResampled> {
50 protected createPointSeries(): OhlcPointSeriesResampled {
51 return new OhlcPointSeriesResampled(this.wasmContext, new NumberRange(0, 0));
52 }
53 protected runTransformInternal(renderPassData: RenderPassData): IPointSeries {
54 const { xValues: oldX, yValues: oldY, indexes: oldI, resampled } = renderPassData.pointSeries;
55 // this.pointSeries is the target. Clear the existing values
56 const { xValues, yValues, highValues, lowValues, indexes } = this.pointSeries;
57 // This shows how to properly handled resampled data, though this is not necessary here.
58 const iStart = resampled ? 0 : renderPassData.indexRange.min;
59 const iEnd = resampled ? oldX.size() - 1 : renderPassData.indexRange?.max;
60 const length = iEnd - iStart + 1;
61 // Since this produces a known number of points we can just fast resize the target pointSeries to the desired length. All this will be overritten
62 xValues.resizeFast(length);
63 yValues.resizeFast(length);
64 highValues.resizeFast(length);
65 lowValues.resizeFast(length);
66 indexes.resizeFast(length);
67 // Create views over the source and target vectors for fast access. These views are only valid as long as there is no memory allocation
68 const oldXView = vectorToArrayViewF64(oldX, this.wasmContext);
69 const oldYView = vectorToArrayViewF64(oldY, this.wasmContext);
70 const oldIndexView = vectorToArrayViewF64(oldI, this.wasmContext);
71 const xView = vectorToArrayViewF64(xValues, this.wasmContext);
72 const yView = vectorToArrayViewF64(yValues, this.wasmContext);
73 const highView = vectorToArrayViewF64(highValues, this.wasmContext);
74 const lowView = vectorToArrayViewF64(lowValues, this.wasmContext);
75 const indexView = vectorToArrayViewF64(indexes, this.wasmContext);
76
77 const ds = this.parentSeries.dataSeries as XyDataSeries;
78 let prevSelected = false;
79 let iOut = 0;
80 for (let i = iStart; i <= iEnd; i++) {
81 const index = resampled ? oldIndexView[i] : i;
82 const md = ds.getMetadataAt(index);
83 xView[iOut] = oldXView[i];
84 indexView[iOut] = oldIndexView[i];
85 let nextSelected = false;
86 if (i < iEnd) {
87 const nextmd = ds.getMetadataAt(index + 1);
88 nextSelected = nextmd.isSelected;
89 }
90 yView[iOut] = md.isSelected ? NaN : oldYView[i];
91 // For pointmarkers we just need the point itself
92 lowView[iOut] = md.isSelected ? oldYView[i] : NaN;
93 // need points either side of the selected value for the line to draw.
94 highView[iOut] = prevSelected || md.isSelected || nextSelected ? oldYView[i] : NaN;
95 prevSelected = md.isSelected;
96 iOut++;
97 }
98 return this.pointSeries;
99 }
100}
101
102export const drawExample = async (rootElement: string | HTMLDivElement) => {
103 // Create a SciChartSurface
104 const { sciChartSurface, wasmContext } = await SciChartSurface.create(rootElement, {
105 theme: appTheme.SciChartJsTheme,
106 });
107
108 // Create X,Y Axis
109 sciChartSurface.xAxes.add(new NumericAxis(wasmContext, { growBy: new NumberRange(0.05, 0.05) }));
110 sciChartSurface.yAxes.add(new NumericAxis(wasmContext, { growBy: new NumberRange(0, 0.05) }));
111
112 // Column series with different gradient fill for selected columns
113 const xValues = Array.from({ length: 20 }, (x, i) => i);
114 const colyValues = xValues.map((x) => 10 + Math.random() * 40);
115 const colmetadata = xValues.map((x) => ({
116 isSelected: Math.random() < 0.3,
117 }));
118 const columnSeries = new FastColumnRenderableSeries(wasmContext, {
119 fillLinearGradient: new GradientParams(new Point(0, 0), new Point(0, 1), [
120 { color: appTheme.MutedRed, offset: 0 },
121 { color: appTheme.MutedTeal, offset: 1 },
122 ]),
123 dataSeries: new XyDataSeries(wasmContext, {
124 xValues: xValues,
125 yValues: colyValues,
126 metadata: colmetadata,
127 containsNaN: true,
128 }),
129 stroke: "transparent",
130 });
131 // We cannot use a paletteProvider to change a gradient fill, so we have to use a second drawingProvider
132 const selectedColDP = new ColumnSeriesDrawingProvider(
133 wasmContext,
134 columnSeries,
135 // configure this to draw using the selected points
136 (ps) => (ps as IOhlcPointSeries).lowValues
137 );
138 selectedColDP.getProperties = (parentSeries) => {
139 const { stroke, strokeThickness, fill } = parentSeries;
140 return {
141 opacity: 1,
142 // Opacity setting does not currently apply to the gradient colors, so we have to apply it individually
143 fillLinearGradient: new GradientParams(new Point(0, 0), new Point(0, 1), [
144 { color: appTheme.MutedRed + "88", offset: 0 },
145 { color: appTheme.MutedSkyBlue + "88", offset: 1 },
146 ]),
147 stroke,
148 strokeThickness,
149 fill,
150 };
151 };
152 columnSeries.drawingProviders.push(selectedColDP);
153 columnSeries.renderDataTransform = new SplitRenderDataTransform(
154 columnSeries,
155 wasmContext,
156 columnSeries.drawingProviders
157 );
158 sciChartSurface.renderableSeries.add(columnSeries);
159
160 const lineyValues = xValues.map((x) => 30 + x + x * Math.random());
161 const linemetadata = xValues.map((x) => ({
162 isSelected: Math.random() < 0.3,
163 }));
164 // Line series with different pointmarker and dashed line for selected sections
165 const lineSeries = new FastLineRenderableSeries(wasmContext, {
166 dataSeries: new XyDataSeries(wasmContext, {
167 xValues: xValues,
168 yValues: lineyValues,
169 metadata: linemetadata,
170 containsNaN: true,
171 }),
172 pointMarker: new EllipsePointMarker(wasmContext, {
173 width: 14,
174 height: 14,
175 strokeThickness: 0,
176 fill: appTheme.VividSkyBlue,
177 }),
178 stroke: appTheme.VividTeal,
179 strokeThickness: 3,
180 drawNaNAs: ELineDrawMode.DiscontinuousLine,
181 });
182
183 const trianglePM = new TrianglePointMarker(wasmContext, {
184 width: 15,
185 height: 15,
186 strokeThickness: 0,
187 fill: appTheme.VividOrange,
188 });
189 // Additional line drawing for selected segments
190 const selectedLineDP = new LineSeriesDrawingProvider(
191 wasmContext,
192 lineSeries,
193 (ps) => (ps as IOhlcPointSeries).highValues
194 );
195 // Make this drawingProvider used dashed lines
196 selectedLineDP.getProperties = (parentSeries) => {
197 const { stroke, strokeThickness, opacity, isDigitalLine, lineType, drawNaNAs } = parentSeries;
198 return {
199 stroke,
200 strokeThickness,
201 strokeDashArray: [3, 4],
202 isDigitalLine,
203 lineType,
204 drawNaNAs,
205 containsNaN: true,
206 } as ILineSeriesDrawingProviderProperties;
207 };
208 // Add this as the first drawingProviders so it draws behind all pointmarkers
209 lineSeries.drawingProviders.unshift(selectedLineDP);
210
211 // Additional point drawing for selecetd points
212 const triangleDP = new PointMarkerDrawingProvider(
213 wasmContext,
214 lineSeries,
215 (ps) => (ps as IOhlcPointSeries).lowValues
216 );
217 triangleDP.getProperties = (series) => {
218 return { pointMarker: trianglePM as IPointMarker };
219 };
220 lineSeries.drawingProviders.push(triangleDP);
221
222 // Apply the transform to all the drawingProviders
223 lineSeries.renderDataTransform = new SplitRenderDataTransform(lineSeries, wasmContext, lineSeries.drawingProviders);
224 sciChartSurface.renderableSeries.add(lineSeries);
225
226 sciChartSurface.annotations.add(
227 new NativeTextAnnotation({
228 xCoordinateMode: ECoordinateMode.Pixel,
229 yCoordinateMode: ECoordinateMode.Pixel,
230 x1: 20,
231 y1: 20,
232 horizontalAnchorPoint: EHorizontalAnchorPoint.Left,
233 verticalAnchorPoint: EVerticalAnchorPoint.Top,
234 text: "Selected points are styled differently. Click and drag to change the selection",
235 textColor: appTheme.ForegroundColor,
236 fontSize: 16,
237 opacity: 0.77,
238 })
239 );
240
241 // Optional: Add Interactivity Modifiers
242 sciChartSurface.chartModifiers.add(
243 new DataPointSelectionModifier({
244 allowClickSelect: true,
245 onSelectionChanged: (args) => {
246 lineSeries.renderDataTransform.requiresTransform = true;
247 columnSeries.renderDataTransform.requiresTransform = true;
248 },
249 })
250 );
251 // sciChartSurface.chartModifiers.add(new RolloverModifier({
252 // tooltipDataTemplate: (seriesInfo: SeriesInfo) => {
253 // const vals: string[] = [];
254 // vals.push(`X ${seriesInfo.formattedXValue}`);
255 // vals.push(`Y ${seriesInfo.formattedYValue}`);
256 // vals.push(`selected ${(seriesInfo.pointMetadata as IPointMetadata).isSelected}`);
257 // return vals;
258 // }
259 // }));
260
261 sciChartSurface.zoomExtents();
262 return { sciChartSurface, wasmContext };
263};
264This example demonstrates how to create a multi-style chart using SciChart.js specifically for Angular applications. It showcases how to style selected and unselected data points differently within a single series by leveraging a custom RenderDataTransform to process data based on metadata.
The implementation utilizes a custom transform, SplitRenderDataTransform, that converts standard XY data into OHLC-like data where selected points are rendered distinctly. By checking the metadata values provided in the XyDataSeries, the transform assigns specific values to the data series. This approach allows the same series to be rendered using multiple drawing providers (see ISeriesDrawingProvider) for different visual styles, such as gradient fills for column series and dashed lines for sections of the line series. The chart is initialized using a WebAssembly context for high-performance rendering, in line with practices outlined in the Memory Best Practices documentation.
Key features of this example include real-time updates through interactive modifiers, such as the DataPointSelectionModifier, which allow for dynamic selection changes on the chart. Advanced customization is achieved by applying multiple drawing providers. For instance, the column series applies a gradient fill using GradientParams, as seen in techniques from the Angular Column Chart demo, and the line series uses additional drawing providers to render customized point markers and dashed segments. Conditional rendering based on data series metadata is central to this implementation, following approaches outlined in the DataSeries PointMetaData API.
For Angular developers, this example represents best practices by combining high-performance WebAssembly-based rendering with advanced styling capabilities. The use of a custom RenderDataTransform to manage multi-style rendering ensures that all interactive modifiers perceive a unified data series, ensuring consistency while allowing for advanced visual differentiation. Additional drawing provider customization is achieved using techniques similar to those described in the Tutorial 02 - Adding Series and Data guide. This integration approach provides a robust template for building dynamic and highly optimized charts in Angular with SciChart.js.

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