svg`<svg width="${w}" height="${h}">
<defs>
${polygons.map((p, i) => {
const index = randInt(p.pts.length)
let a = p.pts[index]
let b = p.pts[(index + p.pts.length / 2 | 0) % p.pts.length]
const colorA = getColor(a)
const colorB = getColor(b)
a = PVector.sub(a, p.center).setMag(0.7).add(0.5)
b = PVector.sub(b, p.center).setMag(0.7).add(0.5)
return `<linearGradient id="gradient${i}" x1="${a.x}" y1="${a.y}" x2="${b.x}" y2="${b.y}">
<stop offset="0%" stop-color="${colorA}"/>
<stop offset="100%" stop-color="${colorB}"/>
</linearGradient>`
}).join('\n')}
</defs>
<rect x="0" y="0" width="${w}" height="${h}" stroke="none" fill="white"></rect>
<g transform="translate(${w/2}, ${h/2}) scale(1) translate(${-w/2}, ${-h/2})">
${polygons.map((p, i) => `<polygon
transform="translate(${p.center.x}, ${p.center.y}) scale(1.05) translate(${-p.center.x}, ${-p.center.y})"
fill="url(#gradient${i})"
stroke="none"
points="${p.pts.map(pt => `${pt.x} ${pt.y}`).join(' ')}"
/>`).join('\n')}
</g>
</svg>`
imageData = readPixels(`https://source.unsplash.com/featured?portrait,close,${Date.now()}`, { w, h , format: 'hsl', fit: true })
One platform to build and deploy the best data apps
Experiment and prototype by building visualizations in live JavaScript notebooks. Collaborate with your team and decide which concepts to build out.
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