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@ -181,7 +181,7 @@ export class LinePod extends ChartwerkPod<LineTimeSerie, LineOptions> {
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} |
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updateCrosshair(): void { |
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// Base don't know anything about crosshair circles, It is only for line pod
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// Core doesn't know anything about crosshair circles, It is only for line pod
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this.appendCrosshairCircles(); |
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} |
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@ -278,27 +278,29 @@ export class LinePod extends ChartwerkPod<LineTimeSerie, LineOptions> {
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} |
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getClosestIndex(datapoints: [number, number][], xValue: number, yValue: number): number { |
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let columnIdx; // 1 for y value, 0 for x value
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let value; // xValue ot y Value
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let columnIdx; // 0 for x value, 1 for y value,
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let value; // xValue to y Value
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switch(this.options.crosshair.orientation) { |
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case CrosshairOrientation.HORIZONTAL: |
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case CrosshairOrientation.VERTICAL: |
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columnIdx = 0; |
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value = xValue; |
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break; |
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case CrosshairOrientation.VERTICAL: |
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case CrosshairOrientation.HORIZONTAL: |
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columnIdx = 1; |
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value = yValue; |
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break; |
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case CrosshairOrientation.BOTH: |
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// TODO: maybe use voronoi
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columnIdx = 0; |
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columnIdx = 1; |
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value = yValue; |
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default: |
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throw new Error(`Unknown type of crosshair orientaion: ${this.options.crosshair.orientation}`); |
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} |
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// TODO: d3.bisect is not the best way. Use binary search
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const bisectIndex = this.d3.bisector((d: [number, number]) => d[columnIdx]).left; |
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let closestIdx = bisectIndex(datapoints, value); |
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// TODO: refactor corner cases
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if(closestIdx < 0) { |
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return 0; |
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