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Stacked columnEdit

2019
2018
2017
2016
0
2k
4k
6k
<script>
  import { LayerCake, ScaledSvg, Html, flatten } from 'layercake';
  import { stack } from 'd3-shape';
  import { scaleBand, scaleOrdinal } from 'd3-scale';
  import { format } from 'd3-format';

  import ColumnStacked from './_components/ColumnStacked.svelte';
  import AxisX from './_components/AxisX.percent-range.html.svelte';
  import AxisY from './_components/AxisY.percent-range.html.svelte';

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

  const xKey = 'year';
  const yKey = [0, 1];
  const zKey = 'key';

  const seriesNames = Object.keys(data[0]).filter(d => d !== xKey);
  const seriesColors = ['#00e047', '#7ceb68', '#b7f486', '#ecfda5'];

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

  const stackData = stack()
    .keys(seriesNames);

  const series = stackData(data);

  const formatLabelY = d => format(`~s`)(d);
</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
    ssr
    percentRange
    padding={{ top: 0, right: 0, bottom: 20, left: 20 }}
    x={d => d.data[xKey]}
    y={yKey}
    z={zKey}
    xScale={scaleBand().paddingInner(0.028).round(true)}
    xDomainSort={false}
    zScale={scaleOrdinal()}
    zDomain={seriesNames}
    zRange={seriesColors}
    flatData={flatten(series)}
    data={series}
  >
    <Html>
      <AxisX
        gridlines={false}
      />
      <AxisY
        ticks={4}
        gridlines={false}
        format={formatLabelY}
      />
    </Html>
    <ScaledSvg>
      <ColumnStacked/>
    </ScaledSvg>
  </LayerCake>
</div>