var pointCount = 50000
// Box-Muller gaussian: gives two legible clusters at any density instead of
// uniform noise, so the plotted shape stays readable whether it is 2,000 or
// 100,000 points.
function gauss(mean, sd) {
var u = 1 - Math.random()
var v = Math.random()
return mean + sd * Math.sqrt(-2 * Math.log(u)) * Math.cos(2 * Math.PI * v)
}
function generateClusters(count) {
var half = Math.floor(count / 2)
var a = new Array(half)
var b = new Array(count - half)
for (var i = 0; i < a.length; i++) {
a[i] = [+gauss(32, 9).toFixed(2), +gauss(62, 15).toFixed(2)]
}
for (var j = 0; j < b.length; j++) {
b[j] = [+gauss(70, 10).toFixed(2), +gauss(34, 13).toFixed(2)]
}
return [a, b]
}
var clusters = generateClusters(pointCount)
var lastRenderMs = 0
// Every SVG mark is a live DOM node, so counting nodes inside the chart makes
// the hybrid renderer visible: canvas keeps this in the dozens no matter how
// many points are plotted.
function domNodeCount() {
var el = document.querySelector('#chart')
return el ? el.getElementsByTagName('*').length : 0
}
// Accepts the live chart instance as an argument so the React and Vue builds
// (which have no global `chart` var) can share this stateless helper.
function updateStats(chart) {
var el = document.getElementById('stats')
if (!el || !chart) return
var active = chart.getActiveRenderer ? chart.getActiveRenderer() : 'svg'
el.innerHTML =
'Points: <b>' +
pointCount.toLocaleString() +
'</b> · Active renderer: <b>' +
active.toUpperCase() +
'</b> · DOM nodes in chart: <b>' +
domNodeCount().toLocaleString() +
'</b> · Render: <b>' +
(lastRenderMs > 0 ? lastRenderMs + ' ms' : 'change a control to time it') +
'</b>'
}
var options = {
series: [
{ name: 'Cluster A', data: clusters[0] },
{ name: 'Cluster B', data: clusters[1] },
],
chart: {
height: 480,
type: 'scatter',
renderer: 'auto',
rendererThreshold: 8000,
animations: { enabled: false },
zoom: { enabled: true, type: 'xy' },
toolbar: { autoSelected: 'zoom' },
},
markers: { size: 3, strokeWidth: 0 },
colors: ['#008FFB', '#FF4560'],
title: {
text: 'Scatter: 50,000 points on the auto-selected renderer',
align: 'left',
},
subtitle: {
text: 'Dense series marks paint to a canvas layer; axes, grid, zoom and tooltip stay SVG',
align: 'left',
},
xaxis: {
type: 'numeric',
tickAmount: 10,
labels: {
formatter: function (val) {
return parseFloat(val).toFixed(0)
},
},
},
yaxis: {
tickAmount: 8,
labels: {
formatter: function (val) {
return val.toFixed(0)
},
},
},
legend: { position: 'top' },
tooltip: { shared: true, intersect: false },
}
var chart = new ApexCharts(document.querySelector('#chart'), options)
chart.render()
// The template starts the first render; poll one frame for the instance, then
// fill in the live metrics.
requestAnimationFrame(function poll() {
if (chart && chart.w && chart.w.globals && chart.w.globals.series) {
updateStats(chart)
} else {
requestAnimationFrame(poll)
}
})
function rebuild() {
pointCount = parseInt(document.getElementById('pointCount').value, 10)
var mode = document.getElementById('rendererMode').value
clusters = generateClusters(pointCount)
options.chart.renderer = mode
options.series = [
{ name: 'Cluster A', data: clusters[0] },
{ name: 'Cluster B', data: clusters[1] },
]
options.title.text =
'Scatter: ' +
pointCount.toLocaleString() +
' points on the ' +
(mode === 'auto' ? 'auto-selected' : mode) +
' renderer'
var t = performance.now()
chart.destroy()
chart = new ApexCharts(document.querySelector('#chart'), options)
chart.render().then(function () {
lastRenderMs = Math.round(performance.now() - t)
updateStats(chart)
})
}
document.getElementById('rerender').addEventListener('click', rebuild)
document.getElementById('rendererMode').addEventListener('change', rebuild)
document.getElementById('pointCount').addEventListener('change', rebuild)
document.getElementById('resetZoom').addEventListener('click', function () {
if (chart) chart.resetSeries(true, true)
})