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D3
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d3-array
Edited
Oct 24, 2023
14 stars
d3-array
Image Sharpeningd3.blurd3.rankd3.flatGroup, d3.flatRollupd3.moded3.groupSortSet Operationsd3.groups as a hierarchyd3.fsum, d3.AdderTime thresholds for d3.bin
d3.cumsum
Tidy Stacked Area ChartMerging Duplicate Valuesd3.zip, d3.transposed3.bind3.ticksd3.mean, d3.median, and friendsd3.quickselectd3.bisectd3.sumd3.group, d3.rollup, d3.indexd3.countd3.min, d3.max, d3.extentd3.least, d3.greatestd3.pairsd3.crossd3.ascending, d3.descendingd3.merged3.ranged3.permuted3.shuffled3-array 2.0
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d3.cumsum([1, 2, 3, 4])
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function* countdown(n) {
do { yield n; } while (n-- > 0);
}
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d3.cumsum(countdown(10))
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d3.cumsum([1, NaN, undefined, 2, "wat", 7])
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d3.cumsum([{a: 1.3}, {a: 2.2}, {a: 3.0}], d => d.a)
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data = [
{a: "pass", time: 0},
{a: "pass", time: 10},
{a: "goal", time: 23},
{a: "pass", time: 31},
{a: "pass", time: 40}
]
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d3.cumsum(data, d => d.a === "goal")
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normal = d3.randomNormal(0, 4)
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randomWalk1d = d3.cumsum({length: width - 20}, normal)
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randomWalk2d = d3.zip(
d3.cumsum({length: 4000}, normal),
d3.cumsum({length: 4000}, normal)
)
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d3.cumsum({length: 10}, () => 0.1)
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d3.fcumsum({length: 10}, () => 0.1)
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