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/**
* @license Highcharts JS v7.1.1 (2019-04-09)
*
* (c) 2010-2019 Highsoft AS
* Author: Sebastian Domas
*
* License: www.highcharts.com/license
*/
'use strict';
(function (factory) {
if (typeof module === 'object' && module.exports) {
factory['default'] = factory;
module.exports = factory;
} else if (typeof define === 'function' && define.amd) {
define('highcharts/modules/histogram-bellcurve', ['highcharts'], function (Highcharts) {
factory(Highcharts);
factory.Highcharts = Highcharts;
return factory;
});
} else {
factory(typeof Highcharts !== 'undefined' ? Highcharts : undefined);
}
}(function (Highcharts) {
var _modules = Highcharts ? Highcharts._modules : {};
function _registerModule(obj, path, args, fn) {
if (!obj.hasOwnProperty(path)) {
obj[path] = fn.apply(null, args);
}
}
_registerModule(_modules, 'mixins/derived-series.js', [_modules['parts/Globals.js']], function (H) {
var Series = H.Series,
addEvent = H.addEvent,
noop = H.noop;
/* ************************************************************************** *
*
* DERIVED SERIES MIXIN
*
* ************************************************************************** */
/**
* Provides methods for auto setting/updating series data based on the based
* series data.
*
* @private
* @mixin derivedSeriesMixin
*/
var derivedSeriesMixin = {
hasDerivedData: true,
/**
* Initialise series
*
* @private
* @function derivedSeriesMixin.init
*/
init: function () {
Series.prototype.init.apply(this, arguments);
this.initialised = false;
this.baseSeries = null;
this.eventRemovers = [];
this.addEvents();
},
/**
* Method to be implemented - inside the method the series has already
* access to the base series via m `this.baseSeries` and the bases data is
* initialised. It should return data in the format accepted by
* `Series.setData()` method
*
* @private
* @function derivedSeriesMixin.setDerivedData
*
* @return {Array<*>}
* An array of data
*/
setDerivedData: noop,
/**
* Sets base series for the series
*
* @private
* @function derivedSeriesMixin.setBaseSeries
*/
setBaseSeries: function () {
var chart = this.chart,
baseSeriesOptions = this.options.baseSeries,
baseSeries = (
H.defined(baseSeriesOptions) &&
(
chart.series[baseSeriesOptions] ||
chart.get(baseSeriesOptions)
)
);
this.baseSeries = baseSeries || null;
},
/**
* Adds events for the series
*
* @private
* @function derivedSeriesMixin.addEvents
*/
addEvents: function () {
var derivedSeries = this,
chartSeriesLinked;
chartSeriesLinked = addEvent(
this.chart,
'afterLinkSeries',
function () {
derivedSeries.setBaseSeries();
if (derivedSeries.baseSeries && !derivedSeries.initialised) {
derivedSeries.setDerivedData();
derivedSeries.addBaseSeriesEvents();
derivedSeries.initialised = true;
}
}
);
this.eventRemovers.push(
chartSeriesLinked
);
},
/**
* Adds events to the base series - it required for recalculating the data
* in the series if the base series is updated / removed / etc.
*
* @private
* @function derivedSeriesMixin.addBaseSeriesEvents
*/
addBaseSeriesEvents: function () {
var derivedSeries = this,
updatedDataRemover,
destroyRemover;
updatedDataRemover = addEvent(
derivedSeries.baseSeries,
'updatedData',
function () {
derivedSeries.setDerivedData();
}
);
destroyRemover = addEvent(
derivedSeries.baseSeries,
'destroy',
function () {
derivedSeries.baseSeries = null;
derivedSeries.initialised = false;
}
);
derivedSeries.eventRemovers.push(
updatedDataRemover,
destroyRemover
);
},
/**
* Destroys the series
*
* @private
* @function derivedSeriesMixin.destroy
*/
destroy: function () {
this.eventRemovers.forEach(function (remover) {
remover();
});
Series.prototype.destroy.apply(this, arguments);
}
};
return derivedSeriesMixin;
});
_registerModule(_modules, 'modules/histogram.src.js', [_modules['parts/Globals.js'], _modules['mixins/derived-series.js']], function (H, derivedSeriesMixin) {
var objectEach = H.objectEach,
seriesType = H.seriesType,
correctFloat = H.correctFloat,
isNumber = H.isNumber,
arrayMax = H.arrayMax,
arrayMin = H.arrayMin,
merge = H.merge;
/* ***************************************************************************
*
* HISTOGRAM
*
**************************************************************************** */
/**
* A dictionary with formulas for calculating number of bins based on the
* base series
**/
var binsNumberFormulas = {
'square-root': function (baseSeries) {
return Math.ceil(Math.sqrt(baseSeries.options.data.length));
},
'sturges': function (baseSeries) {
return Math.ceil(Math.log(baseSeries.options.data.length) * Math.LOG2E);
},
'rice': function (baseSeries) {
return Math.ceil(2 * Math.pow(baseSeries.options.data.length, 1 / 3));
}
};
/**
* Returns a function for mapping number to the closed (right opened) bins
*
* @param {number} binWidth - width of the bin
* @returns {function}
**/
function fitToBinLeftClosed(bins) {
return function (y) {
var i = 1;
while (bins[i] <= y) {
i++;
}
return bins[--i];
};
}
/**
* Histogram class
*
* @constructor seriesTypes.histogram
* @augments seriesTypes.column
* @mixes DerivedSeriesMixin
**/
/**
* A histogram is a column series which represents the distribution of the data
* set in the base series. Histogram splits data into bins and shows their
* frequencies.
*
* @product highcharts
* @sample {highcharts} highcharts/demo/histogram/ Histogram
* @since 6.0.0
* @extends plotOptions.column
* @excluding boostThreshold, pointInterval, pointIntervalUnit, stacking
* @optionparent plotOptions.histogram
**/
seriesType('histogram', 'column', {
/**
* A preferable number of bins. It is a suggestion, so a histogram may have
* a different number of bins. By default it is set to the square root
* of the base series' data length. Available options are: `square-root`,
* `sturges`, `rice`. You can also define a function which takes a
* `baseSeries` as a parameter and should return a positive integer.
*
* @type {String|Number|Function}
* @validvalue ["square-root", "sturges", "rice"]
*/
binsNumber: 'square-root',
/**
* Width of each bin. By default the bin's width is calculated as
* `(max - min) / number of bins`. This option takes precedence over
* [binsNumber](#plotOptions.histogram.binsNumber).
*
* @type {Number}
*/
binWidth: undefined,
pointPadding: 0,
groupPadding: 0,
grouping: false,
pointPlacement: 'between',
tooltip: {
headerFormat: '',
pointFormat: '<span style="font-size: 10px">{point.x} - {point.x2}' +
'</span><br/>' +
'<span style="color:{point.color}">\u25CF</span>' +
' {series.name} <b>{point.y}</b><br/>'
}
}, merge(derivedSeriesMixin, {
setDerivedData: function () {
var data = this.derivedData(
this.baseSeries.yData,
this.binsNumber(),
this.options.binWidth
);
this.setData(data, false);
},
derivedData: function (baseData, binsNumber, binWidth) {
var series = this,
max = arrayMax(baseData),
// Float correction needed, because first frequency value is not
// corrected when generating frequencies (within for loop).
min = correctFloat(arrayMin(baseData)),
frequencies = [],
bins = {},
data = [],
x,
fitToBin;
binWidth = series.binWidth = series.options.pointRange = correctFloat(
isNumber(binWidth) ?
(binWidth || 1) :
(max - min) / binsNumber
);
// If binWidth is 0 then max and min are equaled,
// increment the x with some positive value to quit the loop
for (
x = min;
// This condition is needed because of the margin of error while
// operating on decimal numbers. Without that, additional bin was
// sometimes noticeable on the graph, because of too small precision
// of float correction.
x < max &&
(
series.userOptions.binWidth ||
correctFloat(max - x) >= binWidth ||
correctFloat(min + (frequencies.length * binWidth) - x) <= 0
);
x = correctFloat(x + binWidth)
) {
frequencies.push(x);
bins[x] = 0;
}
if (bins[min] !== 0) {
frequencies.push(correctFloat(min));
bins[correctFloat(min)] = 0;
}
fitToBin = fitToBinLeftClosed(
frequencies.map(function (elem) {
return parseFloat(elem);
})
);
baseData.forEach(function (y) {
var x = correctFloat(fitToBin(y));
bins[x]++;
});
objectEach(bins, function (frequency, x) {
data.push({
x: Number(x),
y: frequency,
x2: correctFloat(Number(x) + binWidth)
});
});
data.sort(function (a, b) {
return a.x - b.x;
});
return data;
},
binsNumber: function () {
var binsNumberOption = this.options.binsNumber;
var binsNumber = binsNumberFormulas[binsNumberOption] ||
// #7457
(typeof binsNumberOption === 'function' && binsNumberOption);
return Math.ceil(
(binsNumber && binsNumber(this.baseSeries)) ||
(
isNumber(binsNumberOption) ?
binsNumberOption :
binsNumberFormulas['square-root'](this.baseSeries)
)
);
}
}));
/**
* A `histogram` series. If the [type](#series.histogram.type) option is not
* specified, it is inherited from [chart.type](#chart.type).
*
* @type {Object}
* @since 6.0.0
* @extends series,plotOptions.histogram
* @excluding dataParser,dataURL,data
* @product highcharts
* @apioption series.histogram
*/
/**
* An integer identifying the index to use for the base series, or a string
* representing the id of the series.
*
* @type {Number|String}
* @default undefined
* @apioption series.histogram.baseSeries
*/
/**
* An array of data points for the series. For the `histogram` series type,
* points are calculated dynamically. See
* [histogram.baseSeries](#series.histogram.baseSeries).
*
* @type {Array<Object|Array>}
* @since 6.0.0
* @extends series.column.data
* @product highcharts
* @apioption series.histogram.data
*/
});
_registerModule(_modules, 'modules/bellcurve.src.js', [_modules['parts/Globals.js'], _modules['mixins/derived-series.js']], function (H, derivedSeriesMixin) {
/* *
* (c) 2010-2019 Highsoft AS
*
* Author: Sebastian Domas
*
* License: www.highcharts.com/license
*/
var seriesType = H.seriesType,
correctFloat = H.correctFloat,
isNumber = H.isNumber,
merge = H.merge;
/* ************************************************************************** *
* BELL CURVE *
* ************************************************************************** */
function mean(data) {
var length = data.length,
sum = data.reduce(function (sum, value) {
return (sum += value);
}, 0);
return length > 0 && sum / length;
}
function standardDeviation(data, average) {
var len = data.length,
sum;
average = isNumber(average) ? average : mean(data);
sum = data.reduce(function (sum, value) {
var diff = value - average;
return (sum += diff * diff);
}, 0);
return len > 1 && Math.sqrt(sum / (len - 1));
}
function normalDensity(x, mean, standardDeviation) {
var translation = x - mean;
return Math.exp(
-(translation * translation) /
(2 * standardDeviation * standardDeviation)
) / (standardDeviation * Math.sqrt(2 * Math.PI));
}
/**
* Bell curve class
*
* @private
* @class
* @name Highcharts.seriesTypes.bellcurve
*
* @augments Highcharts.Series
*
* @mixes DerivedSeriesMixin
*/
seriesType('bellcurve', 'areaspline'
/**
* A bell curve is an areaspline series which represents the probability density
* function of the normal distribution. It calculates mean and standard
* deviation of the base series data and plots the curve according to the
* calculated parameters.
*
* @sample {highcharts} highcharts/demo/bellcurve/
* Bell curve
*
* @extends plotOptions.areaspline
* @since 6.0.0
* @product highcharts
* @excluding boostThreshold, connectNulls, stacking, pointInterval,
* pointIntervalUnit
* @optionparent plotOptions.bellcurve
*/
, {
/**
* This option allows to define the length of the bell curve. A unit of the
* length of the bell curve is standard deviation.
*
* @sample highcharts/plotoptions/bellcurve-intervals-pointsininterval
* Intervals and points in interval
*/
intervals: 3,
/**
* Defines how many points should be plotted within 1 interval. See
* `plotOptions.bellcurve.intervals`.
*
* @sample highcharts/plotoptions/bellcurve-intervals-pointsininterval
* Intervals and points in interval
*/
pointsInInterval: 3,
marker: {
enabled: false
}
}, merge(derivedSeriesMixin, {
setMean: function () {
this.mean = correctFloat(mean(this.baseSeries.yData));
},
setStandardDeviation: function () {
this.standardDeviation = correctFloat(
standardDeviation(this.baseSeries.yData, this.mean)
);
},
setDerivedData: function () {
if (this.baseSeries.yData.length > 1) {
this.setMean();
this.setStandardDeviation();
this.setData(
this.derivedData(this.mean, this.standardDeviation), false
);
}
},
derivedData: function (mean, standardDeviation) {
var intervals = this.options.intervals,
pointsInInterval = this.options.pointsInInterval,
x = mean - intervals * standardDeviation,
stop = intervals * pointsInInterval * 2 + 1,
increment = standardDeviation / pointsInInterval,
data = [],
i;
for (i = 0; i < stop; i++) {
data.push([x, normalDensity(x, mean, standardDeviation)]);
x += increment;
}
return data;
}
}));
/**
* A `bellcurve` series. If the [type](#series.bellcurve.type) option is not
* specified, it is inherited from [chart.type](#chart.type).
*
* For options that apply to multiple series, it is recommended to add
* them to the [plotOptions.series](#plotOptions.series) options structure.
* To apply to all series of this specific type, apply it to
* [plotOptions.bellcurve](#plotOptions.bellcurve).
*
* @extends series,plotOptions.bellcurve
* @since 6.0.0
* @product highcharts
* @excluding dataParser, dataURL, data
* @apioption series.bellcurve
*/
/**
* An integer identifying the index to use for the base series, or a string
* representing the id of the series.
*
* @type {number|string}
* @apioption series.bellcurve.baseSeries
*/
});
_registerModule(_modules, 'masters/modules/histogram-bellcurve.src.js', [], function () {
});
}));