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Documentation for Layer Cake v10, before Svelte 5 runes. Current docs at layercake.graphics

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Stacked column

Stacked column 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.

  • +page.svelte
  • ./_components/ColumnStacked.svelte
  • ./_components/AxisX.svelte
  • ./_components/AxisY.svelte
  • ./_data/fruitOrdinal.csv
<script>
  import { LayerCake, Svg, flatten, stack } from 'layercake';

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

  import ColumnStacked from './_components/ColumnStacked.svelte';
  import AxisX from './_components/AxisX.svelte';
  import AxisY from './_components/AxisY.svelte';

  // The CSV rows are parsed, and their numbers typed, by @rollup/plugin-dsv. See vite.config.js
  import data from './_data/fruitOrdinal.csv';

  const xKey = 'year';
  // Each stacked point is a [start, end] pair, so the y accessor is those two indexes
  const yKey = [0, 1];
  const cKey = 'key';

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

  const formatLabelY = format('~s');

  const stackedData = stack(data, seriesNames);
</script>

<div class="chart-container">
  <LayerCake
    padding={{ bottom: 20, left: 20 }}
    x={d => d.data[xKey]}
    y={yKey}
    c={cKey}
    xScale={scaleBand().paddingInner(0.02).round(true)}
    xDomainSort={false}
    cScale={scaleOrdinal()}
    cDomain={seriesNames}
    cRange={seriesColors}
    flatData={flatten(stackedData)}
    data={stackedData}
  >
    <Svg>
      <AxisX gridlines={false} />
      <AxisY ticks={4} gridlines={false} format={formatLabelY} />
      <ColumnStacked />
    </Svg>
  </LayerCake>
</div>

<style>
  /* Give the wrapper a width and height. LayerCake fills it. */
  .chart-container {
    width: 100%;
    height: 250px;
  }
</style>