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apexcharts

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A JavaScript Chart Library

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// @ts-check import CoreUtils from './CoreUtils' import DateTime from './../utils/DateTime' import Series from './Series' import Utils from '../utils/Utils' import Defaults from './settings/Defaults' export default class Data { /** * @param {import('../types/internal').ChartStateW} w */ constructor(w, { resetGlobals = () => {}, isMultipleY = () => {} } = {}) { this.w = w this.resetGlobals = resetGlobals this.isMultipleY = isMultipleY /** @type {any} */ this.twoDSeries = [] /** @type {any} */ this.threeDSeries = [] /** @type {any} */ this.twoDSeriesX = [] /** @type {any} */ this.seriesGoals = [] this.coreUtils = new CoreUtils(this.w) /** @type {number} */ this.activeSeriesIndex = 0 } // Helper to get the first valid data point from the active series getFirstDataPoint() { const series = this.w.config.series const sr = new Series(this.w) this.activeSeriesIndex = sr.getActiveConfigSeriesIndex() const activeItem = /** @type {any} */ (series[this.activeSeriesIndex]) if ( activeItem && activeItem.data && activeItem.data.length > 0 && activeItem.data[0] !== null && typeof activeItem.data[0] !== 'undefined' ) { return activeItem.data[0] } return null } isMultiFormat() { return this.isFormatXY() || this.isFormat2DArray() } // given format is [{x, y}, {x, y}] isFormatXY() { const firstDataPoint = this.getFirstDataPoint() if (!firstDataPoint || typeof firstDataPoint.x === 'undefined') return false const data = /** @type {any} */ ( this.w.config.series[this.activeSeriesIndex] )?.data if (data) { /** * @param {Record<string, any>} pt */ const isXY = (pt) => pt && typeof pt.x !== 'undefined' for (let k = 1; k < Math.min(3, data.length); k++) { if (isXY(data[k]) !== true) { console.warn( `ApexCharts: series data has mixed formats starting at index ${k}`, ) break } } } return true } // given format is [[x, y], [x, y]] isFormat2DArray() { const firstDataPoint = this.getFirstDataPoint() return firstDataPoint && Array.isArray(firstDataPoint) } /** * @param {any[]} ser * @param {number} i */ handleFormat2DArray(ser, i) { const cnf = this.w.config const data = ser[i].data const isBoxPlot = cnf.chart.type === 'boxPlot' || /** @type {any} */ (cnf.series[i]).type === 'boxPlot' for (let j = 0; j < data.length; j++) { const point = data[j] const x = point[0] const y = point[1] const z = point[2] if (typeof y !== 'undefined') { if (Array.isArray(y) && y.length === 4 && !isBoxPlot) { // candlestick nested ohlc format this.twoDSeries.push(Utils.parseNumber(y[3])) } else if (point.length >= 5) { // candlestick non-nested ohlc format this.twoDSeries.push(Utils.parseNumber(point[4])) } else { this.twoDSeries.push(Utils.parseNumber(y)) } this.w.axisFlags.dataFormatXNumeric = true } if (cnf.xaxis.type === 'datetime') { // if timestamps are provided and xaxis type is datetime, const ts = new Date(x).getTime() this.twoDSeriesX.push(ts) } else { this.twoDSeriesX.push(x) } if (typeof z !== 'undefined') { this.threeDSeries.push(z) this.w.axisFlags.isDataXYZ = true } } } /** * @param {any[]} ser * @param {number} i */ handleFormatXY(ser, i) { const cnf = this.w.config const gl = this.w.globals const dt = new DateTime(this.w) const data = ser[i].data let activeI = i if (gl.collapsedSeriesIndices.indexOf(i) > -1) { // fix #368 activeI = this.activeSeriesIndex } const activeData = ser[activeI].data // get series, goals, z for (let j = 0; j < data.length; j++) { const point = data[j] if (typeof point.y !== 'undefined') { const val = Array.isArray(point.y) ? Utils.parseNumber(point.y[point.y.length - 1]) : Utils.parseNumber(point.y) this.twoDSeries.push(val) } if (typeof this.seriesGoals[i] === 'undefined') { this.seriesGoals[i] = [] } if (typeof point.goals !== 'undefined' && Array.isArray(point.goals)) { this.seriesGoals[i].push(point.goals) } else { this.seriesGoals[i].push(null) } if (typeof point.z !== 'undefined') { this.threeDSeries.push(point.z) this.w.axisFlags.isDataXYZ = true } } // get seriesX for (let j = 0; j < activeData.length; j++) { const point = activeData[j] const x = point.x const isXString = typeof x === 'string' const isXArr = Array.isArray(x) const isXDate = !isXArr && !!dt.isValidDate(x) if (isXString || isXDate) { // user supplied '01/01/2017' or a date string (a JS date object is not supported) if (isXString || cnf.xaxis.convertedCatToNumeric) { const isRangeColumn = gl.isBarHorizontal && this.w.axisFlags.isRangeData if (cnf.xaxis.type === 'datetime' && !isRangeColumn) { this.twoDSeriesX.push(dt.parseDate(x)) } else { // a category and not a numeric x value this.fallbackToCategory = true this.twoDSeriesX.push(x) if ( !isNaN(x) && this.w.config.xaxis.type !== 'category' && typeof x !== 'string' ) { this.w.axisFlags.isXNumeric = true } } } else { if (cnf.xaxis.type === 'datetime') { this.twoDSeriesX.push(dt.parseDate(x.toString())) } else { this.w.axisFlags.dataFormatXNumeric = true this.w.axisFlags.isXNumeric = true this.twoDSeriesX.push(parseFloat(x)) } } } else if (isXArr) { // a multiline label described in array format this.fallbackToCategory = true this.twoDSeriesX.push(x) } else { // a numeric value in x property this.w.axisFlags.isXNumeric = true this.w.axisFlags.dataFormatXNumeric = true this.twoDSeriesX.push(x) } } } /** * @param {any[]} ser * @param {number} i */ handleRangeData(ser, i) { /** @type {any} */ let range = { start: [], end: [], rangeUniques: [] } if (this.isFormat2DArray()) { range = this.handleRangeDataFormat('array', ser, i) } else if (this.isFormatXY()) { range = this.handleRangeDataFormat('xy', ser, i) } // Fix: RangeArea Chart: hide all series results in a crash #3984 this.w.rangeData.seriesRangeStart[i] = range.start === undefined ? [] : range.start this.w.rangeData.seriesRangeEnd[i] = range.end === undefined ? [] : range.end this.w.rangeData.seriesRange[i] = range.rangeUniques // check for overlaps to avoid clashes in a timeline chart /** * @param {Array<Record<string, any>>} sr */ this.w.rangeData.seriesRange.forEach((sr) => { if (!sr) return /** * @param {Record<string, any>} sarr */ sr.forEach((sarr) => { const yItems = /** @type {any} */ (sarr).y const len = /** @type {any[]} */ (yItems).length // Pre-check: if only one item, no overlaps possible if (len <= 1) return for (let arri = 0; arri < len; arri++) { const arr = /** @type {any} */ (yItems[arri]) const range1y1 = arr.y1 const range1y2 = arr.y2 // Only check subsequent items to avoid duplicate comparisons for (let sri = arri + 1; sri < len; sri++) { const range2 = /** @type {any} */ (yItems[sri]) const range2y1 = range2.y1 const range2y2 = range2.y2 // Check overlap using interval intersection if (range1y1 <= range2y2 && range2y1 <= range1y2) { const sarrAny = /** @type {any} */ (sarr) sarrAny.overlaps.add(arr.rangeName) sarrAny.overlaps.add(range2.rangeName) } } } }) }) return range } /** * @param {any[]} ser * @param {number} i */ handleCandleStickBoxData(ser, i) { /** @type {any} */ let ohlc = { o: [], h: [], m: [], l: [], c: [] } if (this.isFormat2DArray()) { ohlc = this.handleCandleStickBoxDataFormat('array', ser, i) } else if (this.isFormatXY()) { ohlc = this.handleCandleStickBoxDataFormat('xy', ser, i) } this.w.candleData.seriesCandleO[i] = ohlc.o this.w.candleData.seriesCandleH[i] = ohlc.h this.w.candleData.seriesCandleM[i] = ohlc.m this.w.candleData.seriesCandleL[i] = ohlc.l this.w.candleData.seriesCandleC[i] = ohlc.c return ohlc } /** * @param {string} format * @param {any[]} ser * @param {number} i */ handleRangeDataFormat(format, ser, i) { const rangeStart = [] const rangeEnd = [] const uniqueKeysMap = new Map() /** @type {any[]} */ const uniqueKeys = [] // unique keys map /** * @param {Record<string, any>} item */ ser[i].data.forEach((/** @type {any} */ item) => { if (!uniqueKeysMap.has(item.x)) { const keyObj = { x: item.x, overlaps: new Set(), y: [], } uniqueKeysMap.set(item.x, keyObj) uniqueKeys.push(keyObj) } }) if (format === 'array') { for (let j = 0; j < ser[i].data.length; j++) { if (Array.isArray(ser[i].data[j])) { rangeStart.push(ser[i].data[j][1][0]) rangeEnd.push(ser[i].data[j][1][1]) } else { rangeStart.push(ser[i].data[j]) rangeEnd.push(ser[i].data[j]) } } } else if (format === 'xy') { for (let j = 0; j < ser[i].data.length; j++) { const isDataPoint2D = Array.isArray(ser[i].data[j].y) const id = Utils.randomId() const x = ser[i].data[j].x const y = { y1: isDataPoint2D ? ser[i].data[j].y[0] : ser[i].data[j].y, y2: isDataPoint2D ? ser[i].data[j].y[1] : ser[i].data[j].y, rangeName: id, } // CAUTION: mutating config object by adding a new property // TODO: As this is specifically for timeline rangebar charts, update the docs mentioning the series only supports xy format ser[i].data[j].rangeName = id const keyObj = uniqueKeysMap.get(x) if (keyObj) { keyObj.y.push(y) } rangeStart.push(y.y1) rangeEnd.push(y.y2) } } return { start: rangeStart, end: rangeEnd, rangeUniques: uniqueKeys, } } /** * @param {string} format * @param {any[]} ser * @param {number} i */ handleCandleStickBoxDataFormat(format, ser, i) { const w = this.w const isBoxPlot = w.config.chart.type === 'boxPlot' || /** @type {Record<string,any>} */ (w.config.series[i]).type === 'boxPlot' const serO = [] const serH = [] const serM = [] const serL = [] const serC = [] const data = ser[i].data let getVals if (format === 'array') { const isFlat = (isBoxPlot && data[0].length === 6) || (!isBoxPlot && data[0].length === 5) if (isFlat) { /** * @param {any[]} d */ getVals = (d) => d.slice(1) } else { /** * @param {any} d */ getVals = (d) => (Array.isArray(d[1]) ? d[1] : []) } } else { // format === 'xy' /** * @param {Record<string, any>} d */ getVals = (d) => (Array.isArray(d.y) ? d.y : []) } for (let j = 0; j < data.length; j++) { const vals = getVals(data[j]) if (vals && vals.length >= 2) { serO.push(vals[0]) serH.push(vals[1]) if (isBoxPlot) { serM.push(vals[2]) serL.push(vals[3]) serC.push(vals[4]) } else { serL.push(vals[2]) serC.push(vals[3]) } } } return { o: serO, h: serH, m: serM, l: serL, c: serC, } } /** * @param {any[]} ser */ parseDataAxisCharts(ser) { const cnf = this.w.config const gl = this.w.globals const dt = new DateTime(this.w) const xlabels = cnf.labels.length > 0 ? cnf.labels.slice() : cnf.xaxis.categories.slice() this.w.axisFlags.isRangeBar = cnf.chart.type === 'rangeBar' && gl.isBarHorizontal this.w.labelData.hasXaxisGroups = cnf.xaxis.type === 'category' && cnf.xaxis.group.groups.length > 0 if (this.w.labelData.hasXaxisGroups) { this.w.labelData.groups = cnf.xaxis.group.groups } /** * @param {Record<string, any>} s * @param {number} i */ ser.forEach((s, i) => { if (s.name !== undefined) { this.w.seriesData.seriesNames.push(s.name) } else { this.w.seriesData.seriesNames.push( 'series-' + parseInt(String(i + 1), 10), ) } }) this.coreUtils.setSeriesYAxisMappings() // At this point, every series that didn't have a user defined group name // has been given a name according to the yaxis the series is referenced by. // This fits the existing behaviour where all series associated with an axis // are defacto presented as a single group. It is now formalised. /** @type {any[]} */ const buckets = [] /** * @param {Record<string, any>} s */ const groups = [ ...new Set(cnf.series.map((/** @type {any} */ s) => s.group)), ] cnf.series.forEach((/** @type {any} */ s, i) => { const index = groups.indexOf(s.group) if (!buckets[index]) buckets[index] = [] buckets[index].push(this.w.seriesData.seriesNames[i]) }) this.w.labelData.seriesGroups = buckets const handleDates = () => { for (let j = 0; j < xlabels.length; j++) { if (typeof xlabels[j] === 'string') { // user provided date strings const isDate = dt.isValidDate(xlabels[j]) if (isDate) { this.twoDSeriesX.push(dt.parseDate(xlabels[j])) } else { throw new Error( 'You have provided invalid Date format. Please provide a valid JavaScript Date', ) } } else { // user provided timestamps this.twoDSeriesX.push(xlabels[j]) } } } for (let i = 0; i < ser.length; i++) { this.twoDSeries = [] this.twoDSeriesX = [] this.threeDSeries = [] if (typeof ser[i].data === 'undefined') { console.error( "It is a possibility that you may have not included 'data' property in series.", ) return } // LTTB downsampling — runs before any parsing so all downstream paths // benefit. Only applies to multiFormat (XY/{x,y}) data where both x and y // are available for triangle-area calculation. const dr = cnf.chart.dataReducer if ( dr?.enabled && this.isMultiFormat() && ser[i].data.length > (dr.threshold ?? 500) ) { ser[i] = { ...ser[i], data: Data.lttbDownsample(ser[i].data, dr.targetPoints ?? 250), } } if ( cnf.chart.type === 'rangeBar' || cnf.chart.type === 'rangeArea' || ser[i].type === 'rangeBar' || ser[i].type === 'rangeArea' ) { this.w.axisFlags.isRangeData = true this.handleRangeData(ser, i) } if (this.isMultiFormat()) { if (this.isFormat2DArray()) { this.handleFormat2DArray(ser, i) } else if (this.isFormatXY()) { this.handleFormatXY(ser, i) } if ( cnf.chart.type === 'candlestick' || ser[i].type === 'candlestick' || cnf.chart.type === 'boxPlot' || ser[i].type === 'boxPlot' ) { this.handleCandleStickBoxData(ser, i) } this.w.seriesData.series.push(this.twoDSeries) this.w.labelData.labels.push(this.twoDSeriesX) this.w.seriesData.seriesX.push(this.twoDSeriesX) this.w.seriesData.seriesGoals = this.seriesGoals if (i === this.activeSeriesIndex && !this.fallbackToCategory) { this.w.axisFlags.isXNumeric = true } } else { if (cnf.xaxis.type === 'datetime') { // user didn't supplied [{x,y}] or [[x,y]], but single array in data. // Also labels/categories were supplied differently this.w.axisFlags.isXNumeric = true handleDates() this.w.seriesData.seriesX.push(this.twoDSeriesX) } else if (cnf.xaxis.type === 'numeric') { this.w.axisFlags.isXNumeric = true if (xlabels.length > 0) { this.twoDSeriesX = xlabels this.w.seriesData.seriesX.push(this.twoDSeriesX) } } this.w.labelData.labels.push(this.twoDSeriesX) /** * @param {any} d */ const singleArray = ser[i].data.map((/** @type {any} */ d) => Utils.parseNumber(d), ) this.w.seriesData.series.push(singleArray) } this.w.seriesData.seriesZ.push(this.threeDSeries) // overrided default color if user inputs color with series data if (ser[i].color !== undefined) { this.w.seriesData.seriesColors.push(ser[i].color) } else { this.w.seriesData.seriesColors.push(/** @type {any} */ (undefined)) } } return this.w } /** * @param {any[]} ser */ parseDataNonAxisCharts(ser) { const cnf = this.w.config // Check if we have both old format (numeric series + labels) and new format const hasOldFormat = Array.isArray(ser) && ser.every((s) => typeof s === 'number') && cnf.labels.length > 0 const hasNewFormat = Array.isArray(ser) && ser.some( (s) => (s && typeof s === 'object' && s.data) || (s && typeof s === 'object' && s.parsing), ) if (hasOldFormat && hasNewFormat) { console.warn( 'ApexCharts: Both old format (numeric series + labels) and new format (series objects with data/parsing) detected. Using old format for backward compatibility.', ) } // If old format exists, use it (backward compatibility priority) if (hasOldFormat) { this.w.seriesData.series = /** @type {any} */ (ser.slice()) this.w.seriesData.seriesNames = cnf.labels.slice() for (let i = 0; i < this.w.seriesData.series.length; i++) { if (this.w.seriesData.seriesNames[i] === undefined) { this.w.seriesData.seriesNames.push('series-' + (i + 1)) } } return this.w } // Check if it's just a plain numeric array without labels (radialBar common case) if (Array.isArray(ser) && ser.every((s) => typeof s === 'number')) { this.w.seriesData.series = /** @type {any} */ (ser.slice()) this.w.seriesData.seriesNames = [] for (let i = 0; i < this.w.seriesData.series.length; i++) { this.w.seriesData.seriesNames.push(cnf.labels[i] || `series-${i + 1}`) } return this.w } const processedData = this.extractPieDataFromSeries(ser) this.w.seriesData.series = processedData.values this.w.seriesData.seriesNames = processedData.labels // Special handling for radialBar - ensure percentages are valid if (cnf.chart.type === 'radialBar') { /** * @param {any} val */ this.w.seriesData.series = this.w.seriesData.series.map((val) => { const numVal = Utils.parseNumber(val) if (numVal > 100) { console.warn( `ApexCharts: RadialBar value ${numVal} > 100, consider using percentage values (0-100)`, ) } return numVal }) } // Ensure we have proper fallback names for (let i = 0; i < this.w.seriesData.series.length; i++) { if (this.w.seriesData.seriesNames[i] === undefined) { this.w.seriesData.seriesNames.push('series-' + (i + 1)) } } return this.w } /** * Reset parsing flags to allow re-parsing of data during updates */ resetParsingFlags() { const w = this.w w.axisFlags.dataWasParsed = false w.globals.originalSeries = null if (w.config.series) { /** * @param {Object} serie */ w.config.series.forEach((serie) => { if (/** @type {any} */ (serie).__apexParsed) { delete (/** @type {any} */ (serie).__apexParsed) } }) } } /** * @param {any[]} ser */ extractPieDataFromSeries(ser) { /** @type {any[]} */ const values = [] /** @type {any[]} */ const labels = [] if (!Array.isArray(ser)) { console.warn('ApexCharts: Expected array for series data') return { values: [], labels: [] } } if (ser.length === 0) { console.warn('ApexCharts: Empty series array') return { values: [], labels: [] } } // Handle only series objects with data property const firstItem = ser[0] if (typeof firstItem === 'object' && firstItem !== null && firstItem.data) { // Format: [{ data: [{x: 'A', y: 10}] }] or [{ data: rawData, parsing: {...} }] this.extractPieDataFromSeriesObjects(ser, values, labels) } else { // Unsupported format console.warn( 'ApexCharts: Unsupported series format for pie/donut/radialBar. Expected series objects with data property.', ) return { values: [], labels: [] } } return { values, labels } } // Extract data from series objects: [{ data: [...], parsing: {...} }] /** * @param {any[]} seriesArray * @param {any[]} values * @param {any[]} labels */ extractPieDataFromSeriesObjects(seriesArray, values, labels) { /** * @param {Object} serie * @param {number} serieIndex */ seriesArray.forEach((serie, serieIndex) => { if (!serie.data || !Array.isArray(serie.data)) { console.warn(`ApexCharts: Series ${serieIndex} has no valid data array`) return } // If series was already parsed by parseRawDataIfNeeded, data should be in {x, y} format /** * @param {Record<string, any>} dataPoint */ serie.data.forEach((/** @type {any} */ dataPoint) => { if (typeof dataPoint === 'object' && dataPoint !== null) { if (dataPoint.x !== undefined && dataPoint.y !== undefined) { labels.push(String(dataPoint.x)) values.push(Utils.parseNumber(dataPoint.y)) } else { console.warn( 'ApexCharts: Invalid data point format for pie chart. Expected {x, y} format:', dataPoint, ) } } else { console.warn( 'ApexCharts: Expected object data point, got:', typeof dataPoint, ) } }) }) } /** User possibly set string categories in xaxis.categories or labels prop * Or didn't set xaxis labels at all - in which case we manually do it. * If user passed series data as [[3, 2], [4, 5]] or [{ x: 3, y: 55 }], * this shouldn't be called * @param {any[]} ser - the series which user passed to the config */ handleExternalLabelsData(ser) { const cnf = this.w.config if (cnf.xaxis.categories.length > 0) { // user provided labels in xaxis.category prop this.w.labelData.labels = cnf.xaxis.categories } else if (cnf.labels.length > 0) { // user provided labels in labels props this.w.labelData.labels = cnf.labels.slice() } else if (this.fallbackToCategory) { // user provided labels in x prop in [{ x: 3, y: 55 }] data, and those labels are already stored in this.w.labelData.labels[0], so just re-arrange the this.w.labelData.labels array this.w.labelData.labels = /** @type {string[]} */ ( /** @type {unknown} */ (this.w.labelData.labels[0]) ) if (this.w.rangeData.seriesRange.length) { /** * @param {Array<Record<string, any>>} srt */ this.w.rangeData.seriesRange.map((srt) => { srt.forEach((/** @type {any} */ sr) => { if (this.w.labelData.labels.indexOf(sr.x) < 0 && sr.x) { this.w.labelData.labels.push(sr.x) } }) }) // remove duplicate x-axis labels const _labels = this.w.labelData.labels if ( _labels.length > 0 && (typeof _labels[0] === 'number' || typeof _labels[0] === 'string') ) { this.w.labelData.labels = [...new Set(_labels)] } else { const _seen = new Map() for (const _label of _labels) { const _key = JSON.stringify(_label) if (!_seen.has(_key)) _seen.set(_key, _label) } this.w.labelData.labels = Array.from(_seen.values()) } } if (cnf.xaxis.convertedCatToNumeric) { const defaults = new Defaults(cnf) defaults.convertCatToNumericXaxis(cnf, this.w.seriesData.seriesX[0]) this._generateExternalLabels(ser) } } else { this._generateExternalLabels(ser) } } /** * @param {any[]} ser */ _generateExternalLabels(ser) { const gl = this.w.globals const cnf = this.w.config // user didn't provided any labels, fallback to 1-2-3-4-5 let labelArr = [] if (gl.axisCharts) { if (this.w.seriesData.series.length > 0) { if (this.isFormatXY()) { // in case there is a combo chart (boxplot/scatter) // and there are duplicated x values, we need to eliminate duplicates /** * @param {Object} serie */ const seriesDataFiltered = cnf.series.map( (/** @type {any} */ serie) => { const seen = new Map() for (const point of serie.data) { if (!seen.has(point.x)) seen.set(point.x, point) } return Array.from(seen.values()) }, ) /** * @param {number} p * @param {any} c * @param {number} i * @param {any} a */ const len = seriesDataFiltered.reduce( (p, c, i, a) => (a[p].length > c.length ? p : i), 0, ) for (let i = 0; i < seriesDataFiltered[len].length; i++) { labelArr.push(i + 1) } } else { for ( let i = 0; i < this.w.seriesData.series[gl.maxValsInArrayIndex].length; i++ ) { labelArr.push(i + 1) } } } this.w.seriesData.seriesX = [] // create this.w.seriesData.seriesX as it will be used in calculations of x positions for (let i = 0; i < ser.length; i++) { this.w.seriesData.seriesX.push(labelArr) } // turn on the isXNumeric flag to allow minX and maxX to function properly if (!this.w.globals.isBarHorizontal) { this.w.axisFlags.isXNumeric = true } } // no series to pull labels from, put a 0-10 series // possibly, user collapsed all series. Hence we can't work with above calc if (labelArr.length === 0) { labelArr = gl.axisCharts ? [] : /** * @param {Record<string, any>} gls * @param {number} glsi */ this.w.seriesData.series.map((gls, glsi) => { return glsi + 1 }) for (let i = 0; i < ser.length; i++) { this.w.seriesData.seriesX.push(labelArr) } } // Finally, pass the labelArr in this.w.labelData.labels which will be printed on x-axis this.w.labelData.labels = /** @type {string[]} */ ( /** @type {unknown} */ (labelArr) ) if (cnf.xaxis.convertedCatToNumeric) { /** * @param {number} l */ this.w.labelData.categoryLabels = labelArr.map((l) => { return cnf.xaxis.labels.formatter(l) }) } // Turn on this global flag to indicate no labels were provided by user this.w.axisFlags.noLabelsProvided = true } /** * @param {any[]} series */ parseRawDataIfNeeded(series) { const cnf = this.w.config const gl = this.w.globals const globalParsing = cnf.parsing // If data was already parsed, don't parse again if (this.w.axisFlags.dataWasParsed) { return series } // If no global parsing config and no series-level parsing, return as-is /** * @param {Record<string, any>} s */ if (!globalParsing && !series.some((s) => s.parsing)) { return series } /** * @param {Object} serie * @param {number} index */ const processedSeries = series.map((serie, index) => { if ( !serie.data || !Array.isArray(serie.data) || serie.data.length === 0 ) { return serie } // Resolve effective parsing config for this series const effectiveParsing = { x: serie.parsing?.x || globalParsing?.x, y: serie.parsing?.y || globalParsing?.y, z: serie.parsing?.z || globalParsing?.z, } // If no effective parsing config, return as-is if (!effectiveParsing.x && !effectiveParsing.y) { return serie } // Check if data is already in {x, y} format or 2D array format const firstDataPoint = serie.data[0] if ( (typeof firstDataPoint === 'object' && firstDataPoint !== null && (Object.prototype.hasOwnProperty.call(firstDataPoint, 'x') || Object.prototype.hasOwnProperty.call(firstDataPoint, 'y'))) || Array.isArray(firstDataPoint) ) { return serie } // Validate that we have both x and y parsing config if ( !effectiveParsing.x || !effectiveParsing.y || (Array.isArray(effectiveParsing.y) && effectiveParsing.y.length === 0) ) { console.warn( `ApexCharts: Series ${index} has parsing config but missing x or y field specification`, ) return serie } // Transform raw data to {x, y} format /** * @param {Record<string, any>} item * @param {number} itemIndex */ const transformedData = serie.data.map( (/** @type {any} */ item, /** @type {any} */ itemIndex) => { if (typeof item !== 'object' || item === null) { console.warn( `ApexCharts: Series ${index}, data point ${itemIndex} is not an object, skipping parsing`, ) return item } const x = this.getNestedValue(item, effectiveParsing.x) let y let z = undefined if (Array.isArray(effectiveParsing.y)) { const yValues = effectiveParsing.y.map((fieldName) => this.getNestedValue(item, fieldName), ) if (this.w.config.chart.type === 'bubble') { if (yValues.length < 2) { console.warn( `ApexCharts: series[${index}] bubble chart requires parseData.y to have at least 2 fields (y and z). Got: ${JSON.stringify(effectiveParsing.y)}`, ) } // For bubble: [y-value, z-value] → y = yValues[0], z = yValues[1] y = yValues[0] } else { y = yValues } } else { y = this.getNestedValue(item, effectiveParsing.y) } // explicit z field for bubble charts if (effectiveParsing.z) { z = this.getNestedValue(item, effectiveParsing.z) } // Warn if fields don't exist if (x === undefined) { console.warn( `ApexCharts: Series ${index}, data point ${itemIndex} missing field '${effectiveParsing.x}'`, ) } if (y === undefined) { console.warn( `ApexCharts: Series ${index}, data point ${itemIndex} missing field '${effectiveParsing.y}'`, ) } const result = { x, y, z: undefined } if ( this.w.config.chart.type === 'bubble' && Array.isArray(effectiveParsing.y) && effectiveParsing.y.length === 2 ) { const zValue = this.getNestedValue(item, effectiveParsing.y[1]) if (zValue !== undefined) { result.z = zValue } } if (z !== undefined) { result.z = z } return result }, ) return { ...serie, data: transformedData, __apexParsed: true, } }) // Mark that data was parsed this.w.axisFlags.dataWasParsed = true if (!gl.originalSeries) { gl.originalSeries = Utils.clone(series) } return processedSeries } /** * Get nested object value using dot notation path * @param {Object} obj - The object to search in * @param {string} path - Dot notation path (e.g., 'user.profile.name') * @returns {*} The value at the path, or undefined if not found */ getNestedValue(obj, path) { if (!obj || typeof obj !== 'object' || !path) { return undefined } // Handle simple property access (no dots) if (path.indexOf('.') === -1) { return /** @type {any} */ (obj)[path] } // Handle nested property access const keys = path.split('.') let current = obj for (let i = 0; i < keys.length; i++) { if ( current === null || current === undefined || typeof current !== 'object' ) { return undefined } current = /** @type {any} */ (current)[keys[i]] } return current } // Segregate user provided data into appropriate vars /** * @param {any[]} ser */ parseData(ser) { const w = this.w const cnf = w.config const gl = w.globals ser = this.parseRawDataIfNeeded(ser) cnf.series = ser gl.initialSeries = Utils.clone(ser) this.excludeCollapsedSeriesInYAxis() // If we detected string in X prop of series, we fallback to category x-axis this.fallbackToCategory = false this.resetGlobals() this.isMultipleY() if (gl.axisCharts) { // axisCharts includes line / area / column / scatter this.parseDataAxisCharts(ser) this.coreUtils.getLargestSeries() } else { // non-axis charts are pie / donut this.parseDataNonAxisCharts(ser) } // set Null values to 0 in all series when user hides/shows some series if (cnf.chart.stacked) { const series = new Series(this.w) this.w.seriesData.series = series.setNullSeriesToZeroValues( this.w.seriesData.series, ) } this.coreUtils.getSeriesTotals() if (gl.axisCharts) { this.w.seriesData.stackedSeriesTotals = this.coreUtils.getStackedSeriesTotals() this.w.seriesData.stackedSeriesTotalsByGroups = this.coreUtils.getStackedSeriesTotalsByGroups() } this.coreUtils.getPercentSeries() if ( !this.w.axisFlags.dataFormatXNumeric && (!this.w.axisFlags.isXNumeric || (cnf.xaxis.type === 'numeric' && cnf.labels.length === 0 && cnf.xaxis.categories.length === 0)) ) { // x-axis labels couldn't be detected; hence try searching every option in config this.handleExternalLabelsData(ser) } // check for multiline xaxis const catLabels = this.coreUtils.getCategoryLabels(this.w.labelData.labels) for (let l = 0; l < catLabels.length; l++) { if (Array.isArray(catLabels[l])) { this.w.axisFlags.isMultiLineX = true break } } // Return a snapshot of all parsed state grouped by future w.* slice destinations. // Phase 1: callers use named writer stubs (no-ops — mutations above already wrote to gl). // Phase 2: writers will assign to typed slices instead of gl.*. return { // w.seriesData (future slice) seriesData: { series: this.w.seriesData.series, seriesNames: this.w.seriesData.seriesNames, seriesX: this.w.seriesData.seriesX, seriesZ: this.w.seriesData.seriesZ, seriesColors: this.w.seriesData.seriesColors, seriesGoals: this.w.seriesData.seriesGoals, initialSeries: gl.initialSeries, originalSeries: gl.originalSeries, stackedSeriesTotals: this.w.seriesData.stackedSeriesTotals, stackedSeriesTotalsByGroups: this.w.seriesData.stackedSeriesTotalsByGroups, noLabelsProvided: this.w.axisFlags.noLabelsProvided, }, // w.rangeData (future slice) rangeData: { seriesRangeStart: this.w.rangeData.seriesRangeStart, seriesRangeEnd: this.w.rangeData.seriesRangeEnd, seriesRange: this.w.rangeData.seriesRange, }, // w.candleData (future slice) candleData: { seriesCandleO: this.w.candleData.seriesCandleO, seriesCandleH: this.w.candleData.seriesCandleH, seriesCandleM: this.w.candleData.seriesCandleM, seriesCandleL: this.w.candleData.seriesCandleL, seriesCandleC: this.w.candleData.seriesCandleC, }, // w.labelData (future slice) labelData: { labels: this.w.labelData.labels, categoryLabels: this.w.labelData.categoryLabels, }, // w.axisFlags (future slice) axisFlags: { isXNumeric: this.w.axisFlags.isXNumeric, dataFormatXNumeric: this.w.axisFlags.dataFormatXNumeric, isDataXYZ: this.w.axisFlags.isDataXYZ, isRangeData: this.w.axisFlags.isRangeData, isRangeBar: this.w.axisFlags.isRangeBar, isMultiLineX: this.w.axisFlags.isMultiLineX, dataWasParsed: this.w.axisFlags.dataWasParsed, hasXaxisGroups: this.w.labelData.hasXaxisGroups, groups: this.w.labelData.groups, seriesGroups: this.w.labelData.seriesGroups, }, } } /** * Largest-Triangle-Three-Bucket (LTTB) downsampling. * * Reduces `data` to `targetPoints` points while preserving the visual shape * of the series as perceived by the human eye. * * @param {any[]} data - Raw series data in [{x,y}] or [[x,y]] format. * @param {number} targetPoints - Desired output length (>= 3). * @returns {any[]} Downsampled array in the same format as the input. */ static lttbDownsample(data, targetPoints) { const len = data.length if (targetPoints >= len || targetPoints < 3) return data // Normalise each element to {x, y} for the algorithm, remembering format. /** * @param {number} p */ const isXY = !Array.isArray(data[0]) const getX = isXY ? (/** @type {any} */ p) => p.x : (/** @type {any} */ p) => p[0] const getY = isXY ? (/** @type {any} */ p) => p.y : (/** @type {any} */ p) => p[1] const sampled = [] // Always include the first point. sampled.push(data[0]) const bucketSize = (len - 2) / (targetPoints - 2) let a = 0 // index of the last selected point for (let i = 0; i < targetPoints - 2; i++) { // Calculate point average for next bucket (used as the "future" anchor). const avgRangeStart = Math.floor((i + 1) * bucketSize) + 1 const avgRangeEnd = Math.min(Math.floor((i + 2) * bucketSize) + 1, len) let avgX = 0 let avgY = 0 const avgRangeLen = avgRangeEnd - avgRangeStart for (let j = avgRangeStart; j < avgRangeEnd; j++) { avgX += getX(data[j]) avgY += getY(data[j]) } avgX /= avgRangeLen avgY /= avgRangeLen // Pick the point in the current bucket with the largest triangle area. const rangeStart = Math.floor(i * bucketSize) + 1 const rangeEnd = Math.min(Math.floor((i + 1) * bucketSize) + 1, len) const pointAX = getX(data[a]) const pointAY = getY(data[a]) let maxArea = -1 let maxAreaIdx = rangeStart for (let j = rangeStart; j < rangeEnd; j++) { const area = Math.abs( (pointAX - avgX) * (getY(data[j]) - pointAY) - (pointAX - getX(data[j])) * (avgY - pointAY), ) * 0.5 if (area > maxArea) { maxArea = area maxAreaIdx = j } } sampled.push(data[maxAreaIdx]) a = maxAreaIdx } // Always include the last point. sampled.push(data[len - 1]) return sampled } excludeCollapsedSeriesInYAxis() { const w = this.w // Post revision 3.46.0 there is no longer a strict one-to-one // correspondence between series and Y axes. // An axis can be ignored only while all series referenced by it // are collapsed. /** @type {any[]} */ const yAxisIndexes = [] /** * @param {any[]} yAxisArr * @param {number} yi */ w.globals.seriesYAxisMap.forEach((yAxisArr, yi) => { let collapsedCount = 0 /** * @param {number} seriesIndex */ yAxisArr.forEach((seriesIndex) => { if (w.globals.collapsedSeriesIndices.indexOf(seriesIndex) !== -1) { collapsedCount++ } }) // It's possible to have a yaxis that doesn't reference any series yet, // eg, because there are no series' yet, so don't list it as ignored // prematurely. if (collapsedCount > 0 && collapsedCount == yAxisArr.length) { yAxisIndexes.push(yi) } }) w.globals.ignoreYAxisIndexes = yAxisIndexes.map((x) => x) } }