highcharts
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JavaScript charting framework
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JavaScript
/* *
*
* (c) 2010-2026 Highsoft AS
*
* Author: Sebastian Domas
*
* Integration of this software requires a license.
* - For commercial use, see www.highcharts.com/license
* - For non-commercial, see www.highcharts.com/license-eula
*
*
* */
;
import BellcurveSeriesDefaults from './BellcurveSeriesDefaults.js';
import DerivedComposition from '../DerivedComposition.js';
import SeriesRegistry from '../../Core/Series/SeriesRegistry.js';
const { areaspline: AreaSplineSeries } = SeriesRegistry.seriesTypes;
import { correctFloat, isNumber, merge } from '../../Shared/Utilities.js';
/* *
*
* Class
*
* */
/**
* Bell curve class
*
* @internal
* @class
* @name Highcharts.seriesTypes.bellcurve
*
* @augments Highcharts.Series
*/
class BellcurveSeries extends AreaSplineSeries {
/* *
*
* Static Functions
*
* */
/** @internal */
static mean(data) {
const length = data.length, sum = data.reduce(function (sum, value) {
return (sum += value);
}, 0);
return length > 0 && sum / length;
}
/** @internal */
static standardDeviation(data, average) {
const len = data.length;
average = isNumber(average) ?
average : BellcurveSeries.mean(data);
const sum = data.reduce((sum, value) => {
const diff = value - average;
return (sum += diff * diff);
}, 0);
return len > 1 && Math.sqrt(sum / (len - 1));
}
/** @internal */
static normalDensity(x, mean, standardDeviation) {
const translation = x - mean;
return Math.exp(-(translation * translation) /
(2 * standardDeviation * standardDeviation)) / (standardDeviation * Math.sqrt(2 * Math.PI));
}
/* *
*
* Functions
*
* */
setData(data, redraw = true, animation, updatePoints) {
let alteredData = [];
if (typeof data !== 'undefined' && data.length > 0) {
// Support data array of objects (#24073).
data = data
.map(function (item) {
return isNumber(item) ? item : item?.y;
})
.filter(isNumber);
this.setMean(data);
this.setStandardDeviation(data);
if (isNumber(this.mean) &&
isNumber(this.standardDeviation) &&
this.standardDeviation > 0) {
alteredData = this.derivedData(this.mean, this.standardDeviation);
}
}
super.setData.call(this, alteredData, redraw, animation, updatePoints);
}
derivedData(mean, standardDeviation) {
const options = this.options, intervals = options.intervals, pointsInInterval = options.pointsInInterval, stop = intervals * pointsInInterval * 2 + 1, increment = standardDeviation / pointsInInterval, data = [];
let x = mean - intervals * standardDeviation;
for (let i = 0; i < stop; i++) {
data.push([x, BellcurveSeries.normalDensity(x, mean, standardDeviation)]);
x += increment;
}
return data;
}
setDerivedData() {
const series = this;
if (series.baseSeries?.getColumn('y').length) {
series.setData(series.baseSeries?.getColumn('y'), false, void 0, false);
}
}
setMean(data) {
const mean = BellcurveSeries.mean(data || []);
this.mean = isNumber(mean) ? correctFloat(mean) : void 0;
}
setStandardDeviation(data) {
const sd = BellcurveSeries.standardDeviation(data || [], this.mean);
this.standardDeviation = isNumber(sd) ? correctFloat(sd) : void 0;
}
}
/* *
*
* Static Properties
*
* */
BellcurveSeries.defaultOptions = merge(AreaSplineSeries.defaultOptions, BellcurveSeriesDefaults);
DerivedComposition.compose(BellcurveSeries);
SeriesRegistry.registerSeriesType('bellcurve', BellcurveSeries);
/* *
*
* Default Export
*
* */
/** @internal */
export default BellcurveSeries;