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Stacked barEdit

Stacked bar chart using Layer Cake's stack function. Because this will create a nested data structure, we use LayerCake's flatten function to pass to the flatData prop. See the server-side rendered example for the basic D3 function usage.

<script>
  import { LayerCake, Svg, flatten, stack } from 'layercake';

  import { scaleBand, scaleOrdinal } from 'd3-scale';
  import { format } from 'd3-format';

  import BarStacked from './_components/BarStacked.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/fruitOrdinal.csv';

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

  const seriesNames = Object.keys(data[0]).filter(d => d !== yKey);
  const seriesColors = ['#00bbff', '#8bcef6', '#c4e2ed', '#f7f6e3'];

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

  const formatTickX = d => format(`~s`)(d);

  const stackedData = stack(data, seriesNames);
</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: 0, bottom: 20, left: 35 }}
    x={xKey}
    y={d => d.data[yKey]}
    z={zKey}
    yScale={scaleBand().paddingInner(0.05)}
    zScale={scaleOrdinal()}
    zDomain={seriesNames}
    zRange={seriesColors}
    flatData={flatten(stackedData)}
    data={stackedData}
  >
    <Svg>
      <AxisX
        baseline={true}
        snapTicks={true}
        formatTick={formatTickX}
      />
      <AxisY
        gridlines={false}
      />
      <BarStacked/>
    </Svg>
  </LayerCake>
</div>