import React from 'react'
import ReactApexChart from 'react-apexcharts'
import ApexCharts from 'apexcharts'
import './styles.css'
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>'
}
const ApexChart = () => {
const [state, setState] = React.useState({
series: [
{ name: 'Cluster A', data: clusters[0] },
{ name: 'Cluster B', data: clusters[1] },
],
options: {
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 },
},
})
React.useEffect(() => {
// This demo destroys and recreates the chart imperatively on every re-render,
// so it skips the react-apexcharts wrapper and creates the instance in #chart
// directly, exactly like the vanilla build. pointCount, clusters,
// generateClusters, domNodeCount and updateStats live in the shared head
// script.
let chart = null
let disposed = false
// The vanilla build gets a mutable `options` global from the template; rebuild
// it here from the parsed chart state.
const options = Object.assign({ series: state.series }, state.options)
options.chart = Object.assign({}, state.options.chart)
options.title = Object.assign({}, state.options.title)
function rebuild() {
pointCount = parseInt(document.getElementById('pointCount').value, 10)
const 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'
const t = performance.now()
if (chart) chart.destroy()
chart = new ApexCharts(document.querySelector('#chart'), options)
chart.render().then(function () {
if (disposed) return
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)
})
// Initial render into #chart, then fill in the live metrics.
chart = new ApexCharts(document.querySelector('#chart'), options)
chart.render().then(function () {
if (disposed) return
updateStats(chart)
})
return () => {
disposed = true
if (chart) chart.destroy()
}
}, [])
return (
<div>
<div className="panel">
<div className="controls">
<label>
Renderer:
<select id="rendererMode" defaultValue="auto">
<option value="auto">auto</option>
<option value="svg">svg</option>
<option value="canvas">canvas</option>
</select>
</label>
<label>
Points:
<select id="pointCount" defaultValue="50000">
<option value="2000">2,000</option>
<option value="10000">10,000</option>
<option value="50000">50,000</option>
<option value="100000">100,000</option>
</select>
</label>
<button id="rerender">Re-render</button>
<button id="resetZoom">Reset zoom</button>
</div>
<div className="stats" id="stats"></div>
<div className="note">
The series markers are painted into a single{' '}
<code><canvas></code> while the axes, grid, zoom selection,
legend, and shared tooltip stay as SVG. With
<b>renderer: 'auto'</b> the canvas layer switches on once the
rendered-mark count crosses <code>rendererThreshold</code> (8,000), so
2,000 points draw as SVG and 10,000+ promote to canvas. Switch the
Renderer control to <b>svg</b> at 50,000+ points to feel the
difference: the DOM-node count jumps from a few dozen to one node per
marker.
</div>
</div>
<div id="chart"></div>
</div>
)
}
export default ApexChart