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Scatter (svg + canvas + voronoi)Edit

  • +page.svelte
  • ./_components/Scatter.svg.svelte
  • ./_components/Scatter.canvas.svelte
  • ./_components/Voronoi.svelte
  • ./_components/AxisX.svelte
  • ./_components/AxisY.svelte
  • ./_data/points.csv
<script>
  import { LayerCake, Svg, Canvas } from 'layercake';

  import ScatterSvg from './_components/Scatter.svg.svelte';
  import ScatterCanvas from './_components/Scatter.canvas.svelte';
  import Voronoi from './_components/Voronoi.svelte';
  import AxisX from './_components/AxisX.svelte';
  import AxisY from './_components/AxisY.svelte';

  // This example loads csv data as json using @rollup/plugin-dsv
  import data from './_data/points.csv';

  const xKey = 'myX';
  const yKey = 'myY';

  data.forEach(d => {
    d[yKey] = +d[yKey];
  });

  const r = 3;
  const padding = 10;
  const color = '#fff';

  function logEvent(d) {
    console.log('dispatched event', d, d.detail);
  }
</script>

<style>
  /*
    The wrapper div needs to have an explicit width and height in CSS.
    It can also be a flexbox child or CSS grid element.
    The point being it needs dimensions since the <LayerCake> element will
    expand to fill it.
  */
  .chart-container {
    width: 100%;
    height: 250px;
  }
</style>

<div class="chart-container">
  <LayerCake
    padding={{ top: 10, right: 5, bottom: 20, left: 25 }}
    x={xKey}
    y={yKey}
    xPadding={[padding, padding]}
    yPadding={[padding, padding]}
    data={data}
  >
    <Svg>
      <AxisX
        gridlines={false}
      />
      <AxisY
        gridlines={false}
        ticks={4}
      />
    </Svg>

    <Canvas>
      <ScatterCanvas
        r={r * 1.5}
        fill={'#0cf'}
      />
    </Canvas>

    <Svg>
      <ScatterSvg
        {r}
        fill={color}
      />
      <Voronoi
        stroke="#333"
        on:voronoi-mouseover={logEvent}
      />
    </Svg>
  </LayerCake>
</div>