This demo uses imperative chart updates. The generated code is a faithful Angular translation: open it in CodeSandbox to run and tweak.
import { Component, AfterViewInit, OnDestroy, ViewChild } from '@angular/core';
import {
ChartComponent,
ApexAxisChartSeries,
ApexNonAxisChartSeries,
ApexChart,
ApexXAxis,
ApexYAxis,
ApexTitleSubtitle,
ApexDataLabels,
ApexStroke,
ApexFill,
ApexLegend,
ApexTooltip,
ApexMarkers,
ApexPlotOptions,
ApexResponsive,
ApexGrid,
ApexAnnotations,
ApexStates,
ApexTheme,
NgApexchartsModule,
} from 'ng-apexcharts';
export type ChartOptions = {
series?: ApexAxisChartSeries | ApexNonAxisChartSeries;
chart?: ApexChart;
xaxis?: ApexXAxis;
yaxis?: ApexYAxis | ApexYAxis[];
title?: ApexTitleSubtitle;
subtitle?: ApexTitleSubtitle;
dataLabels?: ApexDataLabels;
stroke?: ApexStroke;
fill?: ApexFill;
legend?: ApexLegend;
tooltip?: ApexTooltip;
markers?: ApexMarkers;
plotOptions?: ApexPlotOptions;
responsive?: ApexResponsive[];
grid?: ApexGrid;
annotations?: ApexAnnotations;
states?: ApexStates;
theme?: ApexTheme;
colors?: string[];
labels?: any;
};
@Component({
selector: 'app-chart',
standalone: true,
imports: [NgApexchartsModule],
templateUrl: './chart.component.html',
})
export class AppChart implements AfterViewInit, OnDestroy {
@ViewChild('chart') chart!: ChartComponent;
private DELIVERIES: any = (function () {
var seed = 20260814
function rand() {
seed = (seed * 16807) % 2147483647
return (seed - 1) / 2147483646
}
var out = []
for (var i = 0; i < 640; i++) {
var u1 = Math.max(rand(), 1e-9)
var u2 = rand()
var z = Math.sqrt(-2 * Math.log(u1)) * Math.cos(2 * Math.PI * u2)
// Log-normal: a delivery can run very late but never finish early.
out.push(Math.round(Math.exp(3.15 + z * 0.42)))
}
return out
})();
private HISTOGRAM_SERIES: any = [{ name: 'Deliveries', data: this.DELIVERIES }];
private RAMP: any = ['#4e8cff', '#59c2b0', '#e8c14a', '#ef7d3a', '#d94040'];
private rampColor = (t: any): any => {
var scaled = Math.max(0, Math.min(1, t)) * (this.RAMP.length - 1)
var i = Math.min(this.RAMP.length - 2, Math.floor(scaled))
var f = scaled - i
var a = this.RAMP[i]
var b = this.RAMP[i + 1]
var mix = function (o) {
var av = parseInt(a.substr(o, 2), 16)
var bv = parseInt(b.substr(o, 2), 16)
var v = Math.round(av + (bv - av) * f)
return (v < 16 ? '0' : '') + v.toString(16)
}
return '#' + mix(1) + mix(3) + mix(5)
};
private setReadout = (text: any): any => {
var el = document.querySelector('#readout')
if (el) el.innerHTML = text
};
private setActive = (exploded: any): any => {
var buttons = [].slice.call(document.querySelectorAll('[data-explode]'))
buttons.forEach(function (b) {
b.className =
(b.getAttribute('data-explode') === 'true') === exploded ? 'on' : ''
})
};
private wireExplode = (chart: any): any => {
var buttons = [].slice.call(document.querySelectorAll('[data-explode]'))
buttons.forEach(function (b) {
b.addEventListener('click', function () {
// The active view's button is a no-op: re-requesting the readings while
// already exploded would ask rowSeries() of a unit chart, which has no
// rows to hand back.
if (b.className === 'on') return
var explode = b.getAttribute('data-explode') === 'true'
this.setActive(explode)
if (explode) {
// The whole point: nothing about the sample is passed in here. The
// chart already knows which observations it counted into each bar, so
// rowSeries() returns one cluster per bar holding exactly those rows.
var rows = chart.rowSeries()
var total = rows.reduce(function (n, c) {
return n + c.data.length
}, 0)
// What comes back is ordinary series data, so it can be decorated.
// Colouring each bar's dots by how late that bar was keeps the
// distribution readable once the bars are gone: without this the blob
// is 640 identical dots and you cannot tell a quick delivery from a
// disastrous one.
rows.forEach(function (cluster, k) {
var color = this.rampColor(rows.length > 1 ? k / (rows.length - 1) : 0)
cluster.data.forEach(function (d) {
d.fillColor = color
})
})
chart.updateOptions({
chart: { type: 'unit' },
series: rows,
plotOptions: {
unit: {
// NOT 'columns'. That layout would stack each bin's dots back
// into a column the same height and place as the bar they left,
// so the objects would travel a few pixels and the whole thing
// would look like a redraw. 'packed' gathers them into one blob,
// which is a real journey.
layout: 'packed',
unitValue: 1,
size: 3,
},
},
legend: { show: false },
})
this.setReadout(
'One dot per delivery: <b>' +
total +
'</b> of them, ' +
'gathered out of <b>' +
rows.length +
'</b> bars.',
)
} else {
chart.updateOptions({
chart: { type: 'histogram' },
series: this.HISTOGRAM_SERIES,
legend: { show: false },
})
this.setReadout(
'Every bar is a count of the deliveries that landed in its range.',
)
}
})
})
this.setActive(false)
this.setReadout('Every bar is a count of the deliveries that landed in its range.')
};
public chartOptions: Partial<ChartOptions> = {
series: this.HISTOGRAM_SERIES,
chart: {
id: 'explodeHist',
type: 'histogram',
height: 420,
toolbar: {
show: false,
},
animations: {
chartTypeMorph: {
speed: 900,
},
},
},
plotOptions: {
histogram: {
bins: 22,
},
},
colors: ['#4e8cff'],
legend: {
show: false,
},
xaxis: {
title: {
text: 'Delivery time (minutes)',
},
labels: {
formatter: (val) => {
return Math.round(val)
},
},
},
yaxis: {
title: {
text: 'Deliveries',
},
},
};
ngAfterViewInit() {
(window as any).ApexCharts.setLicense('APEX-eyJleHBpcnlEYXRlIjoiMjEyNi0wNy0wNCIsImlzc3VlRGF0ZSI6IjIwMjYtMDctMjgiLCJwbGFuIjoicHJlbWl1bSIsImRvbWFpbnMiOlsiYXBleGNoYXJ0cy5jb20iLCIxMjcuMC4wLjEiLCJsb2NhbGhvc3QiXSwic2lnIjoieVBmb1VCc0Z3TU9ZdUEyaEZkR0I2Y1FtZ0JITUtXcVdJSjB2NVRESXRZbFR3eDJMUmh6R2x0RUc3VXJ4X0s3b25ZMWRZb2Z2VGItN01ydFYyNDVyOWcifQ==');
this.wireExplode(this.chart)
function wireExplode(chart) {
var buttons = [].slice.call(document.querySelectorAll('[data-explode]'))
buttons.forEach(function (b) {
b.addEventListener('click', () => {
// The active view's button is a no-op: re-requesting the readings while
// already exploded would ask rowSeries() of a unit chart, which has no
// rows to hand back.
if (b.className === 'on') return
var explode = b.getAttribute('data-explode') === 'true'
this.setActive(explode)
if (explode) {
// The whole point: nothing about the sample is passed in here. The
// chart already knows which observations it counted into each bar, so
// rowSeries() returns one cluster per bar holding exactly those rows.
var rows = this.chart.rowSeries()
var total = rows.reduce(function (n, c) {
return n + c.data.length
}, 0)
// What comes back is ordinary series data, so it can be decorated.
// Colouring each bar's dots by how late that bar was keeps the
// distribution readable once the bars are gone: without this the blob
// is 640 identical dots and you cannot tell a quick delivery from a
// disastrous one.
rows.forEach(function (cluster, k) {
var color = this.rampColor(rows.length > 1 ? k / (rows.length - 1) : 0)
cluster.data.forEach(function (d) {
d.fillColor = color
})
})
this.chart.updateOptions({
chart: { type: 'unit' },
series: rows,
plotOptions: {
unit: {
// NOT 'columns'. That layout would stack each bin's dots back
// into a column the same height and place as the bar they left,
// so the objects would travel a few pixels and the whole thing
// would look like a redraw. 'packed' gathers them into one blob,
// which is a real journey.
layout: 'packed',
unitValue: 1,
size: 3,
},
},
legend: { show: false },
})
this.setReadout(
'One dot per delivery: <b>' +
total +
'</b> of them, ' +
'gathered out of <b>' +
rows.length +
'</b> bars.',
)
} else {
this.chart.updateOptions({
chart: { type: 'histogram' },
series: this.HISTOGRAM_SERIES,
legend: { show: false },
})
this.setReadout(
'Every bar is a count of the deliveries that landed in its range.',
)
}
})
})
this.setActive(false)
this.setReadout('Every bar is a count of the deliveries that landed in its range.')
}
}
ngOnDestroy() {
// no cleanup needed
}
}