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dygraphs

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dygraphs is a fast, flexible open source JavaScript charting library.

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'use strict'; /** * @license * Copyright 2011 Dan Vanderkam (danvdk@gmail.com) * MIT-licenced: https://opensource.org/license/MIT */ /** * @fileoverview Description of this file. * @author danvk@google.com (Dan Vanderkam) */ /* * A ticker is a function with the following interface: * * function(a, b, pixels, options_view, dygraph, forced_values); * -> [ { v: tick1_v, label: tick1_label[, label_v: label_v1] }, * { v: tick2_v, label: tick2_label[, label_v: label_v2] }, * ... * ] * * The returned value is called a "tick list". * * Arguments * --------- * * [a, b] is the range of the axis for which ticks are being generated. For a * numeric axis, these will simply be numbers. For a date axis, these will be * millis since epoch (convertable to Date objects using "new Date(a)" and "new * Date(b)"). * * opts provides access to chart- and axis-specific options. It can be used to * access number/date formatting code/options, check for a log scale, etc. * * pixels is the length of the axis in pixels. opts('pixelsPerLabel') is the * minimum amount of space to be allotted to each label. For instance, if * pixels=400 and opts('pixelsPerLabel')=40 then the ticker should return * between zero and ten (400/40) ticks. * * dygraph is the Dygraph object for which an axis is being constructed. * * forced_values is used for secondary y-axes. The tick positions are typically * set by the primary y-axis, so the secondary y-axis has no choice in where to * put these. It simply has to generate labels for these data values. * * Tick lists * ---------- * Typically a tick will have both a grid/tick line and a label at one end of * that line (at the bottom for an x-axis, at left or right for the y-axis). * * A tick may be missing one of these two components: * - If "label_v" is specified instead of "v", then there will be no tick or * gridline, just a label. * - Similarly, if "label" is not specified, then there will be a gridline * without a label. * * This flexibility is useful in a few situations: * - For log scales, some of the tick lines may be too close to all have labels. * - For date scales where years are being displayed, it is desirable to display * tick marks at the beginnings of years but labels (e.g. "2006") in the * middle of the years. */ /*jshint sub:true */ /*global Dygraph:false */ Object.defineProperty(exports, "__esModule", { value: true }); exports.pickDateTickGranularity = exports.numericTicks = exports.numericLinearTicks = exports.integerTicks = exports.getDateAxis = exports.dateTicker = exports.Granularity = void 0; var utils = _interopRequireWildcard(require("./dygraph-utils")); function _interopRequireWildcard(e, t) { if ("function" == typeof WeakMap) var r = new WeakMap(), n = new WeakMap(); return (_interopRequireWildcard = function _interopRequireWildcard(e, t) { if (!t && e && e.__esModule) return e; var o, i, f = { __proto__: null, "default": e }; if (null === e || "object" != typeof e && "function" != typeof e) return f; if (o = t ? n : r) { if (o.has(e)) return o.get(e); o.set(e, f); } for (var _t in e) "default" !== _t && {}.hasOwnProperty.call(e, _t) && ((i = (o = Object.defineProperty) && Object.getOwnPropertyDescriptor(e, _t)) && (i.get || i.set) ? o(f, _t, i) : f[_t] = e[_t]); return f; })(e, t); } /** @typedef {Array.<{v:number, label:string, label_v:(string|undefined)}>} */ var TickList = undefined; // the ' = undefined' keeps jshint happy. /** @typedef {function( * number, * number, * number, * function(string):*, * Dygraph=, * Array.<number>= * ): TickList} */ var Ticker = undefined; // the ' = undefined' keeps jshint happy. /** @type {Ticker} */ var numericLinearTicks = exports.numericLinearTicks = function numericLinearTicks(a, b, pixels, opts, dygraph, vals) { var nonLogscaleOpts = function nonLogscaleOpts(opt) { if (opt === 'logscale') return false; return opts(opt); }; return numericTicks(a, b, pixels, nonLogscaleOpts, dygraph, vals); }; /** @type {Ticker} */ var numericTicks = exports.numericTicks = function numericTicks(a, b, pixels, opts, dygraph, vals) { var pixels_per_tick = /** @type{number} */opts('pixelsPerLabel'); var ticks = []; var i, j, tickV, nTicks; if (vals) { for (i = 0; i < vals.length; i++) { ticks.push({ v: vals[i] }); } } else { // TODO(danvk): factor this log-scale block out into a separate function. if (opts("logscale")) { nTicks = Math.floor(pixels / pixels_per_tick); var minIdx = utils.binarySearch(a, PREFERRED_LOG_TICK_VALUES, 1); var maxIdx = utils.binarySearch(b, PREFERRED_LOG_TICK_VALUES, -1); if (minIdx == -1) { minIdx = 0; } if (maxIdx == -1) { maxIdx = PREFERRED_LOG_TICK_VALUES.length - 1; } // Count the number of tick values would appear, if we can get at least // nTicks / 4 accept them. var lastDisplayed = null; if (maxIdx - minIdx >= nTicks / 4) { for (var idx = maxIdx; idx >= minIdx; idx--) { var tickValue = PREFERRED_LOG_TICK_VALUES[idx]; var pixel_coord = Math.log(tickValue / a) / Math.log(b / a) * pixels; var tick = { v: tickValue }; if (lastDisplayed === null) { lastDisplayed = { tickValue: tickValue, pixel_coord: pixel_coord }; } else { if (Math.abs(pixel_coord - lastDisplayed.pixel_coord) >= pixels_per_tick) { lastDisplayed = { tickValue: tickValue, pixel_coord: pixel_coord }; } else { tick.label = ""; } } ticks.push(tick); } // Since we went in backwards order. ticks.reverse(); } } // ticks.length won't be 0 if the log scale function finds values to insert. if (ticks.length === 0) { // Basic idea: // Try labels every 1, 2, 5, 10, 20, 50, 100, etc. // Calculate the resulting tick spacing (i.e. this.height_ / nTicks). // The first spacing greater than pixelsPerYLabel is what we use. // TODO(danvk): version that works on a log scale. var kmg2 = opts("labelsKMG2"); var mults, base; if (kmg2) { mults = [1, 2, 4, 8, 16, 32, 64, 128, 256]; base = 16; } else { mults = [1, 2, 5, 10, 20, 50, 100]; base = 10; } // Get the maximum number of permitted ticks based on the // graph's pixel size and pixels_per_tick setting. var max_ticks = Math.ceil(pixels / pixels_per_tick); // Now calculate the data unit equivalent of this tick spacing. // Use abs() since graphs may have a reversed Y axis. var units_per_tick = Math.abs(b - a) / max_ticks; // Based on this, get a starting scale which is the largest // integer power of the chosen base (10 or 16) that still remains // below the requested pixels_per_tick spacing. var base_power = Math.floor(Math.log(units_per_tick) / Math.log(base)); var base_scale = Math.pow(base, base_power); // Now try multiples of the starting scale until we find one // that results in tick marks spaced sufficiently far apart. // The "mults" array should cover the range 1 .. base^2 to // adjust for rounding and edge effects. var scale, low_val, high_val, spacing; for (j = 0; j < mults.length; j++) { scale = base_scale * mults[j]; low_val = Math.floor(a / scale) * scale; high_val = Math.ceil(b / scale) * scale; nTicks = Math.abs(high_val - low_val) / scale; spacing = pixels / nTicks; if (spacing > pixels_per_tick) break; } // Construct the set of ticks. // Allow reverse y-axis if it's explicitly requested. if (low_val > high_val) scale *= -1; for (i = 0; i <= nTicks; i++) { tickV = low_val + i * scale; ticks.push({ v: tickV }); } } } var formatter = /**@type{AxisLabelFormatter}*/opts('axisLabelFormatter'); // Add labels to the ticks. for (i = 0; i < ticks.length; i++) { if (ticks[i].label !== undefined) continue; // Use current label. // TODO(danvk): set granularity to something appropriate here. ticks[i].label = formatter.call(dygraph, ticks[i].v, 0, opts, dygraph); } return ticks; }; /** @type {Ticker} */ var integerTicks = exports.integerTicks = function integerTicks(a, b, pixels, opts, dygraph, vals) { var allTicks = numericTicks(a, b, pixels, opts, dygraph, vals); return allTicks.filter(function (tick) { return tick.v % 1 === 0; }); }; /** @type {Ticker} */ var dateTicker = exports.dateTicker = function dateTicker(a, b, pixels, opts, dygraph, vals) { var chosen = pickDateTickGranularity(a, b, pixels, opts); if (chosen >= 0) { return getDateAxis(a, b, chosen, opts, dygraph); } else { // this can happen if self.width_ is zero. return []; } }; // Time granularity enumeration var Granularity = exports.Granularity = { MILLISECONDLY: 0, TWO_MILLISECONDLY: 1, FIVE_MILLISECONDLY: 2, TEN_MILLISECONDLY: 3, FIFTY_MILLISECONDLY: 4, HUNDRED_MILLISECONDLY: 5, FIVE_HUNDRED_MILLISECONDLY: 6, SECONDLY: 7, TWO_SECONDLY: 8, FIVE_SECONDLY: 9, TEN_SECONDLY: 10, THIRTY_SECONDLY: 11, MINUTELY: 12, TWO_MINUTELY: 13, FIVE_MINUTELY: 14, TEN_MINUTELY: 15, THIRTY_MINUTELY: 16, HOURLY: 17, TWO_HOURLY: 18, SIX_HOURLY: 19, DAILY: 20, TWO_DAILY: 21, WEEKLY: 22, MONTHLY: 23, QUARTERLY: 24, BIANNUAL: 25, ANNUAL: 26, DECADAL: 27, CENTENNIAL: 28, NUM_GRANULARITIES: 29 }; // Date components enumeration (in the order of the arguments in Date) // TODO: make this an @enum var DateField = { DATEFIELD_Y: 0, DATEFIELD_M: 1, DATEFIELD_D: 2, DATEFIELD_HH: 3, DATEFIELD_MM: 4, DATEFIELD_SS: 5, DATEFIELD_MS: 6, NUM_DATEFIELDS: 7 }; /** * The value of datefield will start at an even multiple of "step", i.e. * if datefield=SS and step=5 then the first tick will be on a multiple of 5s. * * For granularities <= HOURLY, ticks are generated every `spacing` ms. * * At coarser granularities, ticks are generated by incrementing `datefield` by * `step`. In this case, the `spacing` value is only used to estimate the * number of ticks. It should roughly correspond to the spacing between * adjacent ticks. * * @type {Array.<{datefield:number, step:number, spacing:number}>} */ var TICK_PLACEMENT = []; TICK_PLACEMENT[Granularity.MILLISECONDLY] = { datefield: DateField.DATEFIELD_MS, step: 1, spacing: 1 }; TICK_PLACEMENT[Granularity.TWO_MILLISECONDLY] = { datefield: DateField.DATEFIELD_MS, step: 2, spacing: 2 }; TICK_PLACEMENT[Granularity.FIVE_MILLISECONDLY] = { datefield: DateField.DATEFIELD_MS, step: 5, spacing: 5 }; TICK_PLACEMENT[Granularity.TEN_MILLISECONDLY] = { datefield: DateField.DATEFIELD_MS, step: 10, spacing: 10 }; TICK_PLACEMENT[Granularity.FIFTY_MILLISECONDLY] = { datefield: DateField.DATEFIELD_MS, step: 50, spacing: 50 }; TICK_PLACEMENT[Granularity.HUNDRED_MILLISECONDLY] = { datefield: DateField.DATEFIELD_MS, step: 100, spacing: 100 }; TICK_PLACEMENT[Granularity.FIVE_HUNDRED_MILLISECONDLY] = { datefield: DateField.DATEFIELD_MS, step: 500, spacing: 500 }; TICK_PLACEMENT[Granularity.SECONDLY] = { datefield: DateField.DATEFIELD_SS, step: 1, spacing: 1000 * 1 }; TICK_PLACEMENT[Granularity.TWO_SECONDLY] = { datefield: DateField.DATEFIELD_SS, step: 2, spacing: 1000 * 2 }; TICK_PLACEMENT[Granularity.FIVE_SECONDLY] = { datefield: DateField.DATEFIELD_SS, step: 5, spacing: 1000 * 5 }; TICK_PLACEMENT[Granularity.TEN_SECONDLY] = { datefield: DateField.DATEFIELD_SS, step: 10, spacing: 1000 * 10 }; TICK_PLACEMENT[Granularity.THIRTY_SECONDLY] = { datefield: DateField.DATEFIELD_SS, step: 30, spacing: 1000 * 30 }; TICK_PLACEMENT[Granularity.MINUTELY] = { datefield: DateField.DATEFIELD_MM, step: 1, spacing: 1000 * 60 }; TICK_PLACEMENT[Granularity.TWO_MINUTELY] = { datefield: DateField.DATEFIELD_MM, step: 2, spacing: 1000 * 60 * 2 }; TICK_PLACEMENT[Granularity.FIVE_MINUTELY] = { datefield: DateField.DATEFIELD_MM, step: 5, spacing: 1000 * 60 * 5 }; TICK_PLACEMENT[Granularity.TEN_MINUTELY] = { datefield: DateField.DATEFIELD_MM, step: 10, spacing: 1000 * 60 * 10 }; TICK_PLACEMENT[Granularity.THIRTY_MINUTELY] = { datefield: DateField.DATEFIELD_MM, step: 30, spacing: 1000 * 60 * 30 }; TICK_PLACEMENT[Granularity.HOURLY] = { datefield: DateField.DATEFIELD_HH, step: 1, spacing: 1000 * 3600 }; TICK_PLACEMENT[Granularity.TWO_HOURLY] = { datefield: DateField.DATEFIELD_HH, step: 2, spacing: 1000 * 3600 * 2 }; TICK_PLACEMENT[Granularity.SIX_HOURLY] = { datefield: DateField.DATEFIELD_HH, step: 6, spacing: 1000 * 3600 * 6 }; TICK_PLACEMENT[Granularity.DAILY] = { datefield: DateField.DATEFIELD_D, step: 1, spacing: 1000 * 86400 }; TICK_PLACEMENT[Granularity.TWO_DAILY] = { datefield: DateField.DATEFIELD_D, step: 2, spacing: 1000 * 86400 * 2 }; TICK_PLACEMENT[Granularity.WEEKLY] = { datefield: DateField.DATEFIELD_D, step: 7, spacing: 1000 * 604800 }; TICK_PLACEMENT[Granularity.MONTHLY] = { datefield: DateField.DATEFIELD_M, step: 1, spacing: 1000 * 7200 * 365.2425 }; // 1e3 * 60 * 60 * 24 * 365.2425 / 12 TICK_PLACEMENT[Granularity.QUARTERLY] = { datefield: DateField.DATEFIELD_M, step: 3, spacing: 1000 * 21600 * 365.2425 }; // 1e3 * 60 * 60 * 24 * 365.2425 / 4 TICK_PLACEMENT[Granularity.BIANNUAL] = { datefield: DateField.DATEFIELD_M, step: 6, spacing: 1000 * 43200 * 365.2425 }; // 1e3 * 60 * 60 * 24 * 365.2425 / 2 TICK_PLACEMENT[Granularity.ANNUAL] = { datefield: DateField.DATEFIELD_Y, step: 1, spacing: 1000 * 86400 * 365.2425 }; // 1e3 * 60 * 60 * 24 * 365.2425 * 1 TICK_PLACEMENT[Granularity.DECADAL] = { datefield: DateField.DATEFIELD_Y, step: 10, spacing: 1000 * 864000 * 365.2425 }; // 1e3 * 60 * 60 * 24 * 365.2425 * 10 TICK_PLACEMENT[Granularity.CENTENNIAL] = { datefield: DateField.DATEFIELD_Y, step: 100, spacing: 1000 * 8640000 * 365.2425 }; // 1e3 * 60 * 60 * 24 * 365.2425 * 100 /** * This is a list of human-friendly values at which to show tick marks on a log * scale. It is k * 10^n, where k=1..9 and n=-39..+39, so: * ..., 1, 2, 3, 4, 5, ..., 9, 10, 20, 30, ..., 90, 100, 200, 300, ... * NOTE: this assumes that utils.LOG_SCALE = 10. * @type {Array.<number>} */ var PREFERRED_LOG_TICK_VALUES = function () { var vals = []; for (var power = -39; power <= 39; power++) { var range = Math.pow(10, power); for (var mult = 1; mult <= 9; mult++) { var val = range * mult; vals.push(val); } } return vals; }(); /** * Determine the correct granularity of ticks on a date axis. * * @param {number} a Left edge of the chart (ms) * @param {number} b Right edge of the chart (ms) * @param {number} pixels Size of the chart in the relevant dimension (width). * @param {function(string):*} opts Function mapping from option name -&gt; value. * @return {number} The appropriate axis granularity for this chart. See the * enumeration of possible values in dygraph-tickers.js. */ var pickDateTickGranularity = exports.pickDateTickGranularity = function pickDateTickGranularity(a, b, pixels, opts) { var pixels_per_tick = /** @type{number} */opts('pixelsPerLabel'); for (var i = 0; i < Granularity.NUM_GRANULARITIES; i++) { var num_ticks = numDateTicks(a, b, i); if (pixels / num_ticks >= pixels_per_tick) { return i; } } return -1; }; /** * Compute the number of ticks on a date axis for a given granularity. * @param {number} start_time * @param {number} end_time * @param {number} granularity (one of the granularities enumerated above) * @return {number} (Approximate) number of ticks that would result. */ var numDateTicks = function numDateTicks(start_time, end_time, granularity) { var spacing = TICK_PLACEMENT[granularity].spacing; return Math.round(1.0 * (end_time - start_time) / spacing); }; /** * Compute the positions and labels of ticks on a date axis for a given granularity. * @param {number} start_time * @param {number} end_time * @param {number} granularity (one of the granularities enumerated above) * @param {function(string):*} opts Function mapping from option name -&gt; value. * @param {Dygraph=} dg * @return {!TickList} */ var getDateAxis = exports.getDateAxis = function getDateAxis(start_time, end_time, granularity, opts, dg) { var formatter = /** @type{AxisLabelFormatter} */ opts("axisLabelFormatter"); var utc = opts("labelsUTC"); var accessors = utc ? utils.DateAccessorsUTC : utils.DateAccessorsLocal; var datefield = TICK_PLACEMENT[granularity].datefield; var step = TICK_PLACEMENT[granularity].step; var spacing = TICK_PLACEMENT[granularity].spacing; // Choose a nice tick position before the initial instant. // Currently, this code deals properly with the existent daily granularities: // DAILY (with step of 1) and WEEKLY (with step of 7 but specially handled). // Other daily granularities (say TWO_DAILY) should also be handled specially // by setting the start_date_offset to 0. var start_date = new Date(start_time); var date_array = []; date_array[DateField.DATEFIELD_Y] = accessors.getFullYear(start_date); date_array[DateField.DATEFIELD_M] = accessors.getMonth(start_date); date_array[DateField.DATEFIELD_D] = accessors.getDate(start_date); date_array[DateField.DATEFIELD_HH] = accessors.getHours(start_date); date_array[DateField.DATEFIELD_MM] = accessors.getMinutes(start_date); date_array[DateField.DATEFIELD_SS] = accessors.getSeconds(start_date); date_array[DateField.DATEFIELD_MS] = accessors.getMilliseconds(start_date); var start_date_offset = date_array[datefield] % step; if (granularity == Granularity.WEEKLY) { // This will put the ticks on Sundays. start_date_offset = accessors.getDay(start_date); } date_array[datefield] -= start_date_offset; for (var df = datefield + 1; df < DateField.NUM_DATEFIELDS; df++) { // The minimum value is 1 for the day of month, and 0 for all other fields. date_array[df] = df === DateField.DATEFIELD_D ? 1 : 0; } // Generate the ticks. // For granularities not coarser than HOURLY we use the fact that: // the number of milliseconds between ticks is constant // and equal to the defined spacing. // Otherwise we rely on the 'roll over' property of the Date functions: // when some date field is set to a value outside of its logical range, // the excess 'rolls over' the next (more significant) field. // However, when using local time with DST transitions, // there are dates that do not represent any time value at all // (those in the hour skipped at the 'spring forward'), // and the JavaScript engines usually return an equivalent value. // Hence we have to check that the date is properly increased at each step, // returning a date at a nice tick position. var ticks = []; var tick_date = accessors.makeDate.apply(null, date_array); var tick_time = tick_date.getTime(); if (granularity <= Granularity.HOURLY) { if (tick_time < start_time) { tick_time += spacing; tick_date = new Date(tick_time); } while (tick_time <= end_time) { ticks.push({ v: tick_time, label: formatter.call(dg, tick_date, granularity, opts, dg) }); tick_time += spacing; tick_date = new Date(tick_time); } } else { if (tick_time < start_time) { date_array[datefield] += step; tick_date = accessors.makeDate.apply(null, date_array); tick_time = tick_date.getTime(); } while (tick_time <= end_time) { if (granularity >= Granularity.DAILY || accessors.getHours(tick_date) % step === 0) { ticks.push({ v: tick_time, label: formatter.call(dg, tick_date, granularity, opts, dg) }); } date_array[datefield] += step; tick_date = accessors.makeDate.apply(null, date_array); tick_time = tick_date.getTime(); } } return ticks; }; //# 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