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Top 8 Examples of "d3-contour in functional component" in JavaScript

Dive into secure and efficient coding practices with our curated list of the top 10 examples showcasing 'd3-contour' in functional components in JavaScript. Our advanced machine learning engine meticulously scans each line of code, cross-referencing millions of open source libraries to ensure your implementation is not just functional, but also robust and secure. Elevate your React applications to new heights by mastering the art of handling side effects, API calls, and asynchronous operations with confidence and precision.

}, (error, diamonds) => {
      if (error) throw error;

      const x = d3.scaleLog()
        .domain([2e-1, 5e0])
        .rangeRound([this.margin.left, this.width - this.margin.right]);
      const y = d3.scaleLog()
        .domain([3e2, 2e4])
        .rangeRound([this.height - this.margin.bottom, this.margin.top]);


      console.log('got diamonds data', diamonds)
      var contoursParsed = d3contour.contourDensity()
        .x(function(d) { return x(d.carat); })
        .y(function(d) { return y(d.price); })
        .size([this.width, this.height])
        .bandwidth(10)
      (diamonds)

      this.setState({diamonds, contoursParsed})

    });
layerUpdate(host: XYAxis, element, duration: number = 250) {
        super.layerUpdate(host, element, duration);

        this._palette = this._palette.switch(this.paletteID());

        const data = this.flattenData(this.layerColumns(host), this.layerData(host));
        const contourData = d3ContourDensity()
            .x(d => this.xPos(host, d))
            .y(d => this.yPos(host, d))
            .size([this.width(), this.height()])
            .bandwidth(this.contourBandwidth())
            (data)
            ;
        const _vals = contourData.map(d => d.value);
        const minValue = Math.min.apply(this, _vals);
        const maxValue = Math.max.apply(this, _vals);
        this._dataMinWeight = minValue;
        this._dataMaxWeight = maxValue;
        const lines = element.selectAll("path").data(contourData);
        lines.enter().append("path")
            .merge(lines)
            .attr("d", geoPath())
            .attr("fill", d => this.showContourFill() ? this._palette(d.value, minValue, maxValue) : "none")
function createGenerator(props, generator?: ContourDensity): ContourDensity {
    generator = generator || d3.contourDensity();
    return args.reduce((acc: ContourDensity, arg) => {
        const prop = props[arg];
        if (prop) {
            return acc[arg](prop);
        }
        return acc;
    }, generator);
}
data.forEach(contourData => {
    let contourProjectedSummaries = contourDensity()
      .size([resolution, resolution])
      .x(d => xScale(d[0]))
      .y(d => yScale(d[1]))
      .thresholds(thresholds)
      .bandwidth(bandwidth)(contourData._xyfCoordinates)

    if (neighborhood) {
      contourProjectedSummaries = [contourProjectedSummaries[0]]
    }

    const max = Math.max(...contourProjectedSummaries.map(d => d.value))

    contourProjectedSummaries.forEach(summary => {
      summary.parentSummary = contourData
      summary.bounds = []
      summary.percent = summary.value / max
if (!data || !innerWidth || !innerHeight) {
      return null;
    }

    if (animation) {
      return (
        
          
        
      );
    }

    const x = this._getAttributeFunctor('x');
    const y = this._getAttributeFunctor('y');

    const contouredData = contourDensity()
      .x(d => x(d))
      .y(d => y(d))
      .size([innerWidth, innerHeight])
      .bandwidth(bandwidth)(data);

    const geo = geoPath();
    const {min, max} = getDomain(contouredData);
    const colorScale = scaleLinear()
      .domain([min, max])
      .range(colorRange || CONTINUOUS_COLOR_RANGE);
    return (
private visualizeTrueDistribution(inputAtlasList: number[]) {
    const color = scaleSequential(interpolateGreens)
      .domain([0, 0.05]);

    const trueDistribution: Array<[number, number]> = [];
    while (trueDistribution.length < NUM_TRUE_SAMPLES_VISUALIZED) {
      const values = inputAtlasList.splice(0, 2);
      trueDistribution.push([values[0], values[1]]);
    }

    const contour = contourDensity()
      .x((d: number[]) => d[0] * this.plotSizePx)
      .y((d: number[]) => (1.0 - d[1]) * this.plotSizePx)
      .size([this.plotSizePx, this.plotSizePx])
      .bandwidth(15)
      .thresholds(5);

    d3.select('#vis-true-samples-contour')
      .selectAll('path')
      .data(contour(trueDistribution))
      .enter()
      .append('path')
      .attr('fill', (d: any) => color(d.value))
      .attr('data-value', (d: any) => d.value)
      .attr('d', geoPath());

    const trueDotsElementList = [
function createGenerator(props, generator?: Contours): Contours {
    generator = generator || d3.contours();
    return args.reduce((acc: Contours, arg) => {
        const prop = props[arg];
        if (prop) {
            return acc[arg](prop);
        }
        return acc;
    }, generator);
}
function create(img) {
        return contours()
            .size([m, n])
            .thresholds(thresholds)(values)
            .map(function (contour) {
                var canvas = document.createElement('canvas');
                var ctx = canvas.getContext('2d');
                canvas.width = 2048;
                canvas.height = 2048;
                var path = geoPath(null, ctx);
                if (img) {
                    var pattern = ctx.createPattern(img, 'repeat');
                    ctx.fillStyle = pattern;
                }
                else {
                    ctx.fillStyle = '#fff';
                }
                ctx.fillRect(0, 0, canvas.width, canvas.height);

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