highcharts
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JavaScript charting framework
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JavaScript
/**
* @license Highstock JS v10.0.0 (2022-03-07)
*
* Data grouping module
*
* (c) 2010-2021 Torstein Hønsi
*
* License: www.highcharts.com/license
*/
(function (factory) {
if (typeof module === 'object' && module.exports) {
factory['default'] = factory;
module.exports = factory;
} else if (typeof define === 'function' && define.amd) {
define('highcharts/modules/datagrouping', ['highcharts'], function (Highcharts) {
factory(Highcharts);
factory.Highcharts = Highcharts;
return factory;
});
} else {
factory(typeof Highcharts !== 'undefined' ? Highcharts : undefined);
}
}(function (Highcharts) {
'use strict';
var _modules = Highcharts ? Highcharts._modules : {};
function _registerModule(obj, path, args, fn) {
if (!obj.hasOwnProperty(path)) {
obj[path] = fn.apply(null, args);
if (typeof CustomEvent === 'function') {
window.dispatchEvent(
new CustomEvent(
'HighchartsModuleLoaded',
{ detail: { path: path, module: obj[path] }
})
);
}
}
}
_registerModule(_modules, 'Extensions/DataGrouping.js', [_modules['Core/Axis/Axis.js'], _modules['Core/Axis/DateTimeAxis.js'], _modules['Core/FormatUtilities.js'], _modules['Core/Globals.js'], _modules['Core/Series/Point.js'], _modules['Core/Series/Series.js'], _modules['Core/Tooltip.js'], _modules['Core/DefaultOptions.js'], _modules['Core/Utilities.js']], function (Axis, DateTimeAxis, F, H, Point, Series, Tooltip, D, U) {
/* *
*
* (c) 2010-2021 Torstein Honsi
*
* License: www.highcharts.com/license
*
* !!!!!!! SOURCE GETS TRANSPILED BY TYPESCRIPT. EDIT TS FILE ONLY. !!!!!!!
*
* */
var format = F.format;
var seriesProto = Series.prototype;
var addEvent = U.addEvent,
arrayMax = U.arrayMax,
arrayMin = U.arrayMin,
correctFloat = U.correctFloat,
defined = U.defined,
error = U.error,
extend = U.extend,
isNumber = U.isNumber,
merge = U.merge,
pick = U.pick;
/**
* @typedef {"average"|"averages"|"open"|"high"|"low"|"close"|"sum"} Highcharts.DataGroupingApproximationValue
*/
/**
* The position of the point inside the group.
*
* @typedef {"start"|"middle"|"end"} Highcharts.DataGroupingAnchor
*/
/**
* The position of the first or last point in the series inside the group.
*
* @typedef {"start"|"middle"|"end"|"firstPoint"|"lastPoint"} Highcharts.DataGroupingAnchorExtremes
*/
/**
* @interface Highcharts.DataGroupingInfoObject
*/ /**
* @name Highcharts.DataGroupingInfoObject#length
* @type {number}
*/ /**
* @name Highcharts.DataGroupingInfoObject#options
* @type {Highcharts.SeriesOptionsType|undefined}
*/ /**
* @name Highcharts.DataGroupingInfoObject#start
* @type {number}
*/
''; // detach doclets above
/* ************************************************************************** *
* Start data grouping module *
* ************************************************************************** */
/* eslint-disable no-invalid-this, valid-jsdoc */
/**
* Define the available approximation types. The data grouping
* approximations takes an array or numbers as the first parameter. In case
* of ohlc, four arrays are sent in as four parameters. Each array consists
* only of numbers. In case null values belong to the group, the property
* .hasNulls will be set to true on the array.
*
* @product highstock
*
* @private
* @name Highcharts.approximations
* @type {Highcharts.Dictionary<Function>}
*/
var approximations = H.approximations = {
sum: function (arr) {
var len = arr.length,
ret;
// 1. it consists of nulls exclusive
if (!len && arr.hasNulls) {
ret = null;
// 2. it has a length and real values
}
else if (len) {
ret = 0;
while (len--) {
ret += arr[len];
}
}
// 3. it has zero length, so just return undefined
// => doNothing()
return ret;
},
average: function (arr) {
var len = arr.length,
ret = approximations.sum(arr);
// If we have a number, return it divided by the length. If not,
// return null or undefined based on what the sum method finds.
if (isNumber(ret) && len) {
ret = correctFloat(ret / len);
}
return ret;
},
// The same as average, but for series with multiple values, like area
// ranges.
averages: function () {
var ret = [];
[].forEach.call(arguments, function (arr) {
ret.push(approximations.average(arr));
});
// Return undefined when first elem. is undefined and let
// sum method handle null (#7377)
return typeof ret[0] === 'undefined' ? void 0 : ret;
},
open: function (arr) {
return arr.length ? arr[0] : (arr.hasNulls ? null : void 0);
},
high: function (arr) {
return arr.length ?
arrayMax(arr) :
(arr.hasNulls ? null : void 0);
},
low: function (arr) {
return arr.length ?
arrayMin(arr) :
(arr.hasNulls ? null : void 0);
},
close: function (arr) {
return arr.length ?
arr[arr.length - 1] :
(arr.hasNulls ? null : void 0);
},
// HLC, OHLC and range are special cases where a multidimensional array is
// input and an array is output.
hlc: function (high, low, close) {
high = approximations.high(high);
low = approximations.low(low);
close = approximations.close(close);
if (isNumber(high) ||
isNumber(low) ||
isNumber(close)) {
return [high, low, close];
}
},
ohlc: function (open, high, low, close) {
open = approximations.open(open);
high = approximations.high(high);
low = approximations.low(low);
close = approximations.close(close);
if (isNumber(open) ||
isNumber(high) ||
isNumber(low) ||
isNumber(close)) {
return [open, high, low, close];
}
},
range: function (low, high) {
low = approximations.low(low);
high = approximations.high(high);
if (isNumber(low) || isNumber(high)) {
return [low, high];
}
if (low === null && high === null) {
return null;
}
// else, return is undefined
}
};
var applyGrouping = function (hasExtemesChanged) {
var series = this,
chart = series.chart,
options = series.options,
dataGroupingOptions = options.dataGrouping,
groupingEnabled = series.allowDG !== false && dataGroupingOptions &&
pick(dataGroupingOptions.enabled,
chart.options.isStock),
visible = (series.visible || !chart.options.chart.ignoreHiddenSeries),
hasGroupedData,
skip,
lastDataGrouping = this.currentDataGrouping,
currentDataGrouping,
croppedData,
revertRequireSorting = false;
// Data needs to be sorted for dataGrouping
if (groupingEnabled && !series.requireSorting) {
series.requireSorting = revertRequireSorting = true;
}
// Skip if skipDataGrouping method returns false or if grouping is disabled
// (in that order).
skip = skipDataGrouping(series, hasExtemesChanged) === false || !groupingEnabled;
// Revert original requireSorting value if changed
if (revertRequireSorting) {
series.requireSorting = false;
}
if (!skip) {
series.destroyGroupedData();
var i = void 0,
processedXData = dataGroupingOptions.groupAll ?
series.xData :
series.processedXData,
processedYData = dataGroupingOptions.groupAll ?
series.yData :
series.processedYData,
plotSizeX = chart.plotSizeX,
xAxis = series.xAxis,
ordinal = xAxis.options.ordinal,
groupPixelWidth = series.groupPixelWidth;
// Execute grouping if the amount of points is greater than the limit
// defined in groupPixelWidth
if (groupPixelWidth &&
processedXData &&
processedXData.length) {
hasGroupedData = true;
// Force recreation of point instances in series.translate, #5699
series.isDirty = true;
series.points = null; // #6709
var extremes = xAxis.getExtremes(),
xMin = extremes.min,
xMax = extremes.max,
groupIntervalFactor = (ordinal &&
xAxis.ordinal &&
xAxis.ordinal.getGroupIntervalFactor(xMin,
xMax,
series)) || 1,
interval = (groupPixelWidth * (xMax - xMin) / plotSizeX) *
groupIntervalFactor,
groupPositions = xAxis.getTimeTicks(DateTimeAxis.Additions.prototype.normalizeTimeTickInterval(interval,
dataGroupingOptions.units ||
defaultDataGroupingUnits),
// Processed data may extend beyond axis (#4907)
Math.min(xMin,
processedXData[0]),
Math.max(xMax,
processedXData[processedXData.length - 1]),
xAxis.options.startOfWeek,
processedXData,
series.closestPointRange),
groupedData = seriesProto.groupData.apply(series,
[
processedXData,
processedYData,
groupPositions,
dataGroupingOptions.approximation
]),
groupedXData = groupedData.groupedXData,
groupedYData = groupedData.groupedYData,
gapSize = 0;
// The smoothed option is deprecated, instead, there is a fallback
// to the new anchoring mechanism. #12455.
if (dataGroupingOptions &&
dataGroupingOptions.smoothed &&
groupedXData.length) {
dataGroupingOptions.firstAnchor = 'firstPoint';
dataGroupingOptions.anchor = 'middle';
dataGroupingOptions.lastAnchor = 'lastPoint';
error(32, false, chart, {
'dataGrouping.smoothed': 'use dataGrouping.anchor'
});
}
anchorPoints(series, groupedXData, xMax);
// Record what data grouping values were used
for (i = 1; i < groupPositions.length; i++) {
// The grouped gapSize needs to be the largest distance between
// the group to capture varying group sizes like months or DST
// crossing (#10000). Also check that the gap is not at the
// start of a segment.
if (!groupPositions.info.segmentStarts ||
groupPositions.info.segmentStarts.indexOf(i) === -1) {
gapSize = Math.max(groupPositions[i] - groupPositions[i - 1], gapSize);
}
}
currentDataGrouping = groupPositions.info;
currentDataGrouping.gapSize = gapSize;
series.closestPointRange = groupPositions.info.totalRange;
series.groupMap = groupedData.groupMap;
if (visible) {
adjustExtremes(xAxis, groupedXData);
}
// We calculated all group positions but we should render
// only the ones within the visible range
if (dataGroupingOptions.groupAll) {
// Keep the reference to all grouped points
// for further calculation (eg. heikinashi).
series.allGroupedData = groupedYData;
croppedData = series.cropData(groupedXData, groupedYData, xAxis.min, xAxis.max, 1 // Ordinal xAxis will remove left-most points otherwise
);
groupedXData = croppedData.xData;
groupedYData = croppedData.yData;
series.cropStart = croppedData.start; // #15005
}
// Set series props
series.processedXData = groupedXData;
series.processedYData = groupedYData;
}
else {
series.groupMap = null;
}
series.hasGroupedData = hasGroupedData;
series.currentDataGrouping = currentDataGrouping;
series.preventGraphAnimation =
(lastDataGrouping && lastDataGrouping.totalRange) !==
(currentDataGrouping && currentDataGrouping.totalRange);
}
};
var skipDataGrouping = function (series,
force) {
return !(series.isCartesian &&
!series.isDirty &&
!series.xAxis.isDirty &&
!series.yAxis.isDirty &&
!force);
};
var groupData = function (xData,
yData,
groupPositions,
approximation) {
var series = this,
data = series.data,
dataOptions = series.options && series.options.data,
groupedXData = [],
groupedYData = [],
groupMap = [],
dataLength = xData.length,
pointX,
pointY,
groupedY,
// when grouping the fake extended axis for panning,
// we don't need to consider y
handleYData = !!yData,
values = [],
approximationFn,
pointArrayMap = series.pointArrayMap,
pointArrayMapLength = pointArrayMap && pointArrayMap.length,
extendedPointArrayMap = ['x'].concat(pointArrayMap || ['y']),
groupAll = (this.options.dataGrouping &&
this.options.dataGrouping.groupAll),
pos = 0,
start = 0,
valuesLen,
i,
j;
/**
* @private
*/
function getApproximation(approx) {
if (typeof approx === 'function') {
return approx;
}
if (approximations[approx]) {
return approximations[approx];
}
return approximations[(series.getDGApproximation && series.getDGApproximation()) ||
'average'];
}
approximationFn = getApproximation(approximation);
// Calculate values array size from pointArrayMap length
if (pointArrayMapLength) {
pointArrayMap.forEach(function () {
values.push([]);
});
}
else {
values.push([]);
}
valuesLen = pointArrayMapLength || 1;
// Start with the first point within the X axis range (#2696)
for (i = 0; i <= dataLength; i++) {
if (xData[i] >= groupPositions[0]) {
break;
}
}
for (i; i <= dataLength; i++) {
// when a new group is entered, summarize and initialize
// the previous group
while ((typeof groupPositions[pos + 1] !== 'undefined' &&
xData[i] >= groupPositions[pos + 1]) ||
i === dataLength) { // get the last group
// get group x and y
pointX = groupPositions[pos];
series.dataGroupInfo = {
start: groupAll ? start : (series.cropStart + start),
length: values[0].length
};
groupedY = approximationFn.apply(series, values);
// By default, let options of the first grouped point be passed over
// to the grouped point. This allows preserving properties like
// `name` and `color` or custom properties. Implementers can
// override this from the approximation function, where they can
// write custom options to `this.dataGroupInfo.options`.
if (series.pointClass && !defined(series.dataGroupInfo.options)) {
// Convert numbers and arrays into objects
series.dataGroupInfo.options = merge(series.pointClass.prototype
.optionsToObject.call({ series: series }, series.options.data[series.cropStart + start]));
// Make sure the raw data (x, y, open, high etc) is not copied
// over and overwriting approximated data.
extendedPointArrayMap.forEach(function (key) {
delete series.dataGroupInfo.options[key];
});
}
// push the grouped data
if (typeof groupedY !== 'undefined') {
groupedXData.push(pointX);
groupedYData.push(groupedY);
groupMap.push(series.dataGroupInfo);
}
// reset the aggregate arrays
start = i;
for (j = 0; j < valuesLen; j++) {
values[j].length = 0; // faster than values[j] = []
values[j].hasNulls = false;
}
// Advance on the group positions
pos += 1;
// don't loop beyond the last group
if (i === dataLength) {
break;
}
}
// break out
if (i === dataLength) {
break;
}
// for each raw data point, push it to an array that contains all values
// for this specific group
if (pointArrayMap) {
var index = (series.options.dataGrouping &&
series.options.dataGrouping.groupAll ?
i : series.cropStart + i),
point = (data && data[index]) ||
series.pointClass.prototype.applyOptions.apply({
series: series
},
[dataOptions[index]]),
val = void 0;
for (j = 0; j < pointArrayMapLength; j++) {
val = point[pointArrayMap[j]];
if (isNumber(val)) {
values[j].push(val);
}
else if (val === null) {
values[j].hasNulls = true;
}
}
}
else {
pointY = handleYData ? yData[i] : null;
if (isNumber(pointY)) {
values[0].push(pointY);
}
else if (pointY === null) {
values[0].hasNulls = true;
}
}
}
return {
groupedXData: groupedXData,
groupedYData: groupedYData,
groupMap: groupMap
};
};
var anchorPoints = function (series,
groupedXData,
xMax) {
var options = series.options,
dataGroupingOptions = options.dataGrouping,
totalRange = (series.currentDataGrouping && series.currentDataGrouping.gapSize);
var i;
// DataGrouping x-coordinates.
if (dataGroupingOptions && series.xData && totalRange && series.groupMap) {
var groupedDataLength = groupedXData.length - 1,
anchor = dataGroupingOptions.anchor,
firstAnchor = pick(dataGroupingOptions.firstAnchor,
anchor),
lastAnchor = pick(dataGroupingOptions.lastAnchor,
anchor);
// Anchor points that are not extremes.
if (anchor && anchor !== 'start') {
var shiftInterval = (totalRange *
{ middle: 0.5,
end: 1 }[anchor]);
i = groupedXData.length - 1;
while (i-- && i > 0) {
groupedXData[i] += shiftInterval;
}
}
// Change the first point position, but only when it is
// the first point in the data set not in the current zoom.
if (firstAnchor &&
firstAnchor !== 'start' &&
series.xData[0] >= groupedXData[0]) {
var groupStart = series.groupMap[0].start,
groupLength = series.groupMap[0].length;
var firstGroupstEnd = void 0;
if (isNumber(groupStart) && isNumber(groupLength)) {
firstGroupstEnd = groupStart + (groupLength - 1);
}
groupedXData[0] = {
middle: groupedXData[0] + 0.5 * totalRange,
end: groupedXData[0] + totalRange,
firstPoint: series.xData[0],
lastPoint: firstGroupstEnd && series.xData[firstGroupstEnd]
}[firstAnchor];
}
// Change the last point position but only when it is
// the last point in the data set not in the current zoom.
if (lastAnchor &&
lastAnchor !== 'start' &&
totalRange &&
groupedXData[groupedDataLength] >= xMax - totalRange) {
var lastGroupStart = series.groupMap[series.groupMap.length - 1].start;
groupedXData[groupedDataLength] = {
middle: groupedXData[groupedDataLength] + 0.5 * totalRange,
end: groupedXData[groupedDataLength] + totalRange,
firstPoint: lastGroupStart && series.xData[lastGroupStart],
lastPoint: series.xData[series.xData.length - 1]
}[lastAnchor];
}
}
};
var adjustExtremes = function (xAxis,
groupedXData) {
// Make sure the X axis extends to show the first group (#2533)
// But only for visible series (#5493, #6393)
if (defined(groupedXData[0]) &&
isNumber(xAxis.min) &&
isNumber(xAxis.dataMin) &&
groupedXData[0] < xAxis.min) {
if ((!defined(xAxis.options.min) &&
xAxis.min <= xAxis.dataMin) ||
xAxis.min === xAxis.dataMin) {
xAxis.min = Math.min(groupedXData[0],
xAxis.min);
}
xAxis.dataMin = Math.min(groupedXData[0], xAxis.dataMin);
}
// When the last anchor set, change the extremes that
// the last point is visible (#12455).
if (defined(groupedXData[groupedXData.length - 1]) &&
isNumber(xAxis.max) &&
isNumber(xAxis.dataMax) &&
groupedXData[groupedXData.length - 1] > xAxis.max) {
if ((!defined(xAxis.options.max) &&
isNumber(xAxis.dataMax) &&
xAxis.max >= xAxis.dataMax) || xAxis.max === xAxis.dataMax) {
xAxis.max = Math.max(groupedXData[groupedXData.length - 1], xAxis.max);
}
xAxis.dataMax = Math.max(groupedXData[groupedXData.length - 1], xAxis.dataMax);
}
};
var dataGrouping = {
approximations: approximations,
groupData: groupData
};
// -----------------------------------------------------------------------------
// The following code applies to implementation of data grouping on a Series
var baseProcessData = seriesProto.processData, baseGeneratePoints = seriesProto.generatePoints,
/** @ignore */
commonOptions = {
// enabled: null, // (true for stock charts, false for basic),
// forced: undefined,
groupPixelWidth: 2,
// the first one is the point or start value, the second is the start
// value if we're dealing with range, the third one is the end value if
// dealing with a range
dateTimeLabelFormats: {
millisecond: [
'%A, %b %e, %H:%M:%S.%L',
'%A, %b %e, %H:%M:%S.%L',
'-%H:%M:%S.%L'
],
second: [
'%A, %b %e, %H:%M:%S',
'%A, %b %e, %H:%M:%S',
'-%H:%M:%S'
],
minute: [
'%A, %b %e, %H:%M',
'%A, %b %e, %H:%M',
'-%H:%M'
],
hour: [
'%A, %b %e, %H:%M',
'%A, %b %e, %H:%M',
'-%H:%M'
],
day: [
'%A, %b %e, %Y',
'%A, %b %e',
'-%A, %b %e, %Y'
],
week: [
'Week from %A, %b %e, %Y',
'%A, %b %e',
'-%A, %b %e, %Y'
],
month: [
'%B %Y',
'%B',
'-%B %Y'
],
year: [
'%Y',
'%Y',
'-%Y'
]
}
// smoothed = false, // enable this for navigator series only
}, specificOptions = {
line: {},
spline: {},
area: {},
areaspline: {},
arearange: {},
column: {
groupPixelWidth: 10
},
columnrange: {
groupPixelWidth: 10
},
candlestick: {
groupPixelWidth: 10
},
ohlc: {
groupPixelWidth: 5
},
hlc: {
groupPixelWidth: 5
// Move to HeikinAshiSeries.ts aftre refactoring data grouping.
},
heikinashi: {
groupPixelWidth: 10
}
},
// units are defined in a separate array to allow complete overriding in
// case of a user option
defaultDataGroupingUnits = H.defaultDataGroupingUnits = [
[
'millisecond',
[1, 2, 5, 10, 20, 25, 50, 100, 200, 500] // allowed multiples
], [
'second',
[1, 2, 5, 10, 15, 30]
], [
'minute',
[1, 2, 5, 10, 15, 30]
], [
'hour',
[1, 2, 3, 4, 6, 8, 12]
], [
'day',
[1]
], [
'week',
[1]
], [
'month',
[1, 3, 6]
], [
'year',
null
]
];
// Set default approximations to the prototypes if present. Properties are
// inherited down. Can be overridden for individual series types.
seriesProto.getDGApproximation = function () {
if (this.is('arearange')) {
return 'range';
}
if (this.is('ohlc')) {
return 'ohlc';
}
if (this.is('hlc')) {
return 'hlc';
}
if (this.is('column')) {
return 'sum';
}
return 'average';
};
/**
* Takes parallel arrays of x and y data and groups the data into intervals
* defined by groupPositions, a collection of starting x values for each group.
*
* @private
* @function Highcharts.Series#groupData
*
* @param {Array<number>} xData
*
* @param {Array<number>|Array<Array<number>>} yData
*
* @param {boolean} groupPositions
*
* @param {string|Function} approximation
*
* @return {void}
*/
seriesProto.groupData = groupData;
/**
* For the processed data, calculate the grouped data if needed.
*
* @private
* @function Highcharts.Series#applyGrouping
*
* @return {void}
*/
seriesProto.applyGrouping = applyGrouping;
// Destroy the grouped data points. #622, #740
seriesProto.destroyGroupedData = function () {
// Clear previous groups
if (this.groupedData) {
this.groupedData.forEach(function (point, i) {
if (point) {
this.groupedData[i] = point.destroy ?
point.destroy() : null;
}
}, this);
// Clears all:
// - `this.groupedData`
// - `this.points`
// - `preserve` object in series.update()
this.groupedData.length = 0;
}
};
// Override the generatePoints method by adding a reference to grouped data
seriesProto.generatePoints = function () {
baseGeneratePoints.apply(this);
// Record grouped data in order to let it be destroyed the next time
// processData runs
this.destroyGroupedData(); // #622
this.groupedData = this.hasGroupedData ? this.points : null;
};
/**
* Check the groupPixelWidth and apply the grouping if needed.
* Fired only after processing the data.
*
* @product highstock
*
* @function Highcharts.Axis#applyGrouping
*/
Axis.prototype.applyGrouping = function (e) {
var axis = this,
series = axis.series;
series.forEach(function (series) {
// Reset the groupPixelWidth, then calculate if needed.
series.groupPixelWidth = void 0; // #2110
series.groupPixelWidth = (axis.getGroupPixelWidth &&
axis.getGroupPixelWidth());
if (series.groupPixelWidth) {
series.hasProcessed = true; // #2692
}
// Fire independing on series.groupPixelWidth to always set a proper
// dataGrouping state, (#16238)
series.applyGrouping(!!e.hasExtemesChanged);
});
};
// Get the data grouping pixel width based on the greatest defined individual
// width of the axis' series, and if whether one of the axes need grouping.
Axis.prototype.getGroupPixelWidth = function () {
var series = this.series,
len = series.length,
i,
groupPixelWidth = 0,
doGrouping = false,
dataLength,
dgOptions;
// If multiple series are compared on the same x axis, give them the same
// group pixel width (#334)
i = len;
while (i--) {
dgOptions = series[i].options.dataGrouping;
if (dgOptions) {
groupPixelWidth = Math.max(groupPixelWidth,
// Fallback to commonOptions (#9693)
pick(dgOptions.groupPixelWidth, commonOptions.groupPixelWidth));
}
}
// If one of the series needs grouping, apply it to all (#1634)
i = len;
while (i--) {
dgOptions = series[i].options.dataGrouping;
if (dgOptions) { // #2692
dataLength = (series[i].processedXData || series[i].data).length;
// Execute grouping if the amount of points is greater than the
// limit defined in groupPixelWidth
if (series[i].groupPixelWidth ||
(dataLength >
(this.chart.plotSizeX / groupPixelWidth)) ||
(dataLength && dgOptions.forced)) {
doGrouping = true;
}
}
}
return doGrouping ? groupPixelWidth : 0;
};
/**
* Highcharts Stock only. Force data grouping on all the axis' series.
*
* @product highstock
*
* @function Highcharts.Axis#setDataGrouping
*
* @param {boolean|Highcharts.DataGroupingOptionsObject} [dataGrouping]
* A `dataGrouping` configuration. Use `false` to disable data grouping
* dynamically.
*
* @param {boolean} [redraw=true]
* Whether to redraw the chart or wait for a later call to
* {@link Chart#redraw}.
*/
Axis.prototype.setDataGrouping = function (dataGrouping, redraw) {
var axis = this;
var i;
redraw = pick(redraw, true);
if (!dataGrouping) {
dataGrouping = {
forced: false,
units: null
};
}
// Axis is instantiated, update all series
if (this instanceof Axis) {
i = this.series.length;
while (i--) {
this.series[i].update({
dataGrouping: dataGrouping
}, false);
}
// Axis not yet instanciated, alter series options
}
else {
this.chart.options.series.forEach(function (seriesOptions) {
// Merging dataGrouping options with already defined options #16759
seriesOptions.dataGrouping = typeof dataGrouping === 'boolean' ?
dataGrouping :
merge(dataGrouping, seriesOptions.dataGrouping);
});
}
// Clear ordinal slope, so we won't accidentaly use the old one (#7827)
if (axis.ordinal) {
axis.ordinal.slope = void 0;
}
if (redraw) {
this.chart.redraw();
}
};
// When all series are processed, calculate the group pixel width and then
// if this value is different than zero apply groupings.
addEvent(Axis, 'postProcessData', Axis.prototype.applyGrouping);
// Override point prototype to throw a warning when trying to update grouped
// points.
addEvent(Point, 'update', function () {
if (this.dataGroup) {
error(24, false, this.series.chart);
return false;
}
});
// Extend the original method, make the tooltip's header reflect the grouped
// range.
addEvent(Tooltip, 'headerFormatter', function (e) {
var tooltip = this,
chart = this.chart,
time = chart.time,
labelConfig = e.labelConfig,
series = labelConfig.series,
options = series.options,
tooltipOptions = series.tooltipOptions,
dataGroupingOptions = options.dataGrouping,
xDateFormat = tooltipOptions.xDateFormat,
xDateFormatEnd,
xAxis = series.xAxis,
currentDataGrouping,
dateTimeLabelFormats,
labelFormats,
formattedKey,
formatString = tooltipOptions[e.isFooter ? 'footerFormat' : 'headerFormat'];
// apply only to grouped series
if (xAxis &&
xAxis.options.type === 'datetime' &&
dataGroupingOptions &&
isNumber(labelConfig.key)) {
// set variables
currentDataGrouping = series.currentDataGrouping;
dateTimeLabelFormats = dataGroupingOptions.dateTimeLabelFormats ||
// Fallback to commonOptions (#9693)
commonOptions.dateTimeLabelFormats;
// if we have grouped data, use the grouping information to get the
// right format
if (currentDataGrouping) {
labelFormats =
dateTimeLabelFormats[currentDataGrouping.unitName];
if (currentDataGrouping.count === 1) {
xDateFormat = labelFormats[0];
}
else {
xDateFormat = labelFormats[1];
xDateFormatEnd = labelFormats[2];
}
// if not grouped, and we don't have set the xDateFormat option, get the
// best fit, so if the least distance between points is one minute, show
// it, but if the least distance is one day, skip hours and minutes etc.
}
else if (!xDateFormat && dateTimeLabelFormats && xAxis.dateTime) {
xDateFormat = xAxis.dateTime.getXDateFormat(labelConfig.x, tooltipOptions.dateTimeLabelFormats);
}
// now format the key
formattedKey = time.dateFormat(xDateFormat, labelConfig.key);
if (xDateFormatEnd) {
formattedKey += time.dateFormat(xDateFormatEnd, labelConfig.key + currentDataGrouping.totalRange - 1);
}
// Replace default header style with class name
if (series.chart.styledMode) {
formatString = this.styledModeFormat(formatString);
}
// return the replaced format
e.text = format(formatString, {
point: extend(labelConfig.point, { key: formattedKey }),
series: series
}, chart);
e.preventDefault();
}
});
// Destroy grouped data on series destroy
addEvent(Series, 'destroy', seriesProto.destroyGroupedData);
// Handle default options for data grouping. This must be set at runtime because
// some series types are defined after this.
addEvent(Series, 'afterSetOptions', function (e) {
var options = e.options,
type = this.type,
plotOptions = this.chart.options.plotOptions,
defaultOptions = D.defaultOptions.plotOptions[type].dataGrouping,
// External series, for example technical indicators should also inherit
// commonOptions which are not available outside this module
baseOptions = (this.useCommonDataGrouping && commonOptions);
if (plotOptions && (specificOptions[type] || baseOptions)) { // #1284
if (!defaultOptions) {
defaultOptions = merge(commonOptions, specificOptions[type]);
}
var rangeSelector = this.chart.rangeSelector;
options.dataGrouping = merge(baseOptions, defaultOptions, plotOptions.series && plotOptions.series.dataGrouping, // #1228
// Set by the StockChart constructor:
plotOptions[type].dataGrouping, this.userOptions.dataGrouping, !options.isInternal &&
rangeSelector &&
isNumber(rangeSelector.selected) &&
rangeSelector.buttonOptions[rangeSelector.selected].dataGrouping);
}
});
// When resetting the scale reset the hasProccessed flag to avoid taking
// previous data grouping of neighbour series into accound when determining
// group pixel width (#2692).
addEvent(Axis, 'afterSetScale', function () {
this.series.forEach(function (series) {
series.hasProcessed = false;
});
});
H.dataGrouping = dataGrouping;
/* eslint-enable no-invalid-this, valid-jsdoc */
/**
* Data grouping is the concept of sampling the data values into larger
* blocks in order to ease readability and increase performance of the
* JavaScript charts. Highcharts Stock by default applies data grouping when
* the points become closer than a certain pixel value, determined by
* the `groupPixelWidth` option.
*
* If data grouping is applied, the grouping information of grouped
* points can be read from the [Point.dataGroup](
* /class-reference/Highcharts.Point#dataGroup). If point options other than
* the data itself are set, for example `name` or `color` or custom properties,
* the grouping logic doesn't know how to group it. In this case the options of
* the first point instance are copied over to the group point. This can be
* altered through a custom `approximation` callback function.
*
* @declare Highcharts.DataGroupingOptionsObject
* @product highstock
* @requires product:highstock
* @requires module:modules/datagrouping
* @apioption plotOptions.series.dataGrouping
*/
/**
* Specifies how the points should be located on the X axis inside the group.
* Points that are extremes can be set separately. Available options:
*
* - `start` places the point at the beginning of the group
* (e.g. range 00:00:00 - 23:59:59 -> 00:00:00)
*
* - `middle` places the point in the middle of the group
* (e.g. range 00:00:00 - 23:59:59 -> 12:00:00)
*
* - `end` places the point at the end of the group
* (e.g. range 00:00:00 - 23:59:59 -> 23:59:59)
*
* @sample {highstock} stock/plotoptions/series-datagrouping-anchor
* Changing the point x-coordinate inside the group.
*
* @see [dataGrouping.firstAnchor](#plotOptions.series.dataGrouping.firstAnchor)
* @see [dataGrouping.lastAnchor](#plotOptions.series.dataGrouping.lastAnchor)
*
* @type {Highcharts.DataGroupingAnchor}
* @since 9.1.0
* @default start
* @apioption plotOptions.series.dataGrouping.anchor
*/
/**
* The method of approximation inside a group. When for example 30 days
* are grouped into one month, this determines what value should represent
* the group. Possible values are "average", "averages", "open", "high",
* "low", "close" and "sum". For OHLC and candlestick series the approximation
* is "ohlc" by default, which finds the open, high, low and close values
* within all the grouped data. For ranges, the approximation is "range",
* which finds the low and high values. For multi-dimensional data,
* like ranges and OHLC, "averages" will compute the average for each
* dimension.
*
* Custom aggregate methods can be added by assigning a callback function
* as the approximation. This function takes a numeric array as the
* argument and should return a single numeric value or `null`. Note
* that the numeric array will never contain null values, only true
* numbers. Instead, if null values are present in the raw data, the
* numeric array will have an `.hasNulls` property set to `true`. For
* single-value data sets the data is available in the first argument
* of the callback function. For OHLC data sets, all the open values
* are in the first argument, all high values in the second etc.
*
* Since v4.2.7, grouping meta data is available in the approximation
* callback from `this.dataGroupInfo`. It can be used to extract information
* from the raw data.
*
* Defaults to `average` for line-type series, `sum` for columns, `range`
* for range series, `hlc` for HLC, and `ohlc` for OHLC and candlestick.
*
* @sample {highstock} stock/plotoptions/series-datagrouping-approximation
* Approximation callback with custom data
* @sample {highstock} stock/plotoptions/series-datagrouping-simple-approximation
* Simple approximation demo
*
* @type {Highcharts.DataGroupingApproximationValue|Function}
* @apioption plotOptions.series.dataGrouping.approximation
*/
/**
* Datetime formats for the header of the tooltip in a stock chart.
* The format can vary within a chart depending on the currently selected
* time range and the current data grouping.
*
* The default formats are:
* ```js
* {
* millisecond: [
* '%A, %b %e, %H:%M:%S.%L', '%A, %b %e, %H:%M:%S.%L', '-%H:%M:%S.%L'
* ],
* second: ['%A, %b %e, %H:%M:%S', '%A, %b %e, %H:%M:%S', '-%H:%M:%S'],
* minute: ['%A, %b %e, %H:%M', '%A, %b %e, %H:%M', '-%H:%M'],
* hour: ['%A, %b %e, %H:%M', '%A, %b %e, %H:%M', '-%H:%M'],
* day: ['%A, %b %e, %Y', '%A, %b %e', '-%A, %b %e, %Y'],
* week: ['Week from %A, %b %e, %Y', '%A, %b %e', '-%A, %b %e, %Y'],
* month: ['%B %Y', '%B', '-%B %Y'],
* year: ['%Y', '%Y', '-%Y']
* }
* ```
*
* For each of these array definitions, the first item is the format
* used when the active time span is one unit. For instance, if the
* current data applies to one week, the first item of the week array
* is used. The second and third items are used when the active time
* span is more than two units. For instance, if the current data applies
* to two weeks, the second and third item of the week array are used,
* and applied to the start and end date of the time span.
*
* @type {Object}
* @apioption plotOptions.series.dataGrouping.dateTimeLabelFormats
*/
/**
* Enable or disable data grouping.
*
* @type {boolean}
* @default