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dygraphs

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

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/** * @license * Copyright 2013 David Eberlein (david.eberlein@ch.sauter-bc.com) * MIT-licenced: https://opensource.org/licenses/MIT */ /** * @fileoverview This file contains the managment of data handlers * @author David Eberlein (david.eberlein@ch.sauter-bc.com) * * The idea is to define a common, generic data format that works for all data * structures supported by dygraphs. To make this possible, the DataHandler * interface is introduced. This makes it possible, that dygraph itself can work * with the same logic for every data type independent of the actual format and * the DataHandler takes care of the data format specific jobs. * DataHandlers are implemented for all data types supported by Dygraphs and * return Dygraphs compliant formats. * By default the correct DataHandler is chosen based on the options set. * Optionally the user may use his own DataHandler (similar to the plugin * system). * * * The unified data format returend by each handler is defined as so: * series[n][point] = [x,y,(extras)] * * This format contains the common basis that is needed to draw a simple line * series extended by optional extras for more complex graphing types. It * contains a primitive x value as first array entry, a primitive y value as * second array entry and an optional extras object for additional data needed. * * x must always be a number. * y must always be a number, NaN of type number or null. * extras is optional and must be interpreted by the DataHandler. It may be of * any type. * * In practice this might look something like this: * default: [x, yVal] * errorBar / customBar: [x, yVal, [yTopVariance, yBottomVariance] ] * */ /*global Dygraph:false */ /*global DygraphLayout:false */ "use strict"; /** * * The data handler is responsible for all data specific operations. All of the * series data it receives and returns is always in the unified data format. * Initially the unified data is created by the extractSeries method * @constructor */ Object.defineProperty(exports, "__esModule", { value: true }); exports["default"] = void 0; var DygraphDataHandler = function DygraphDataHandler() {}; var handler = DygraphDataHandler; /** * X-value array index constant for unified data samples. * @const * @type {number} */ handler.X = 0; /** * Y-value array index constant for unified data samples. * @const * @type {number} */ handler.Y = 1; /** * Extras-value array index constant for unified data samples. * @const * @type {number} */ handler.EXTRAS = 2; /** * Extracts one series from the raw data (a 2D array) into an array of the * unified data format. * This is where undesirable points (i.e. negative values on log scales and * missing values through which we wish to connect lines) are dropped. * TODO(danvk): the "missing values" bit above doesn't seem right. * * @param {!Array.<Array>} rawData The raw data passed into dygraphs where * rawData[i] = [x,ySeries1,...,ySeriesN]. * @param {!number} seriesIndex Index of the series to extract. All other * series should be ignored. * @param {!DygraphOptions} options Dygraph options. * @return {Array.<[!number,?number,?]>} The series in the unified data format * where series[i] = [x,y,{extras}]. */ handler.prototype.extractSeries = function (rawData, seriesIndex, options) {}; /** * Converts a series to a Point array. The resulting point array must be * returned in increasing order of idx property. * * @param {!Array.<[!number,?number,?]>} series The series in the unified * data format where series[i] = [x,y,{extras}]. * @param {!string} setName Name of the series. * @param {!number} boundaryIdStart Index offset of the first point, equal to the * number of skipped points left of the date window minimum (if any). * @return {!Array.<Dygraph.PointType>} List of points for this series. */ handler.prototype.seriesToPoints = function (series, setName, boundaryIdStart) { // TODO(bhs): these loops are a hot-spot for high-point-count charts. In // fact, // on chrome+linux, they are 6 times more expensive than iterating through // the // points and drawing the lines. The brunt of the cost comes from allocating // the |point| structures. var points = []; for (var i = 0; i < series.length; ++i) { var item = series[i]; var yraw = item[1]; var yval = yraw === null ? null : handler.parseFloat(yraw); var point = { x: NaN, y: NaN, xval: handler.parseFloat(item[0]), yval: yval, name: setName, // TODO(danvk): is this really necessary? idx: i + boundaryIdStart, canvasx: NaN, // add these so we do not alter the structure later, which slows Chrome canvasy: NaN }; points.push(point); } this.onPointsCreated_(series, points); return points; }; /** * Callback called for each series after the series points have been generated * which will later be used by the plotters to draw the graph. * Here data may be added to the seriesPoints which is needed by the plotters. * The indexes of series and points are in sync meaning the original data * sample for series[i] is points[i]. * * @param {!Array.<[!number,?number,?]>} series The series in the unified * data format where series[i] = [x,y,{extras}]. * @param {!Array.<Dygraph.PointType>} points The corresponding points passed * to the plotter. * @protected */ handler.prototype.onPointsCreated_ = function (series, points) {}; /** * Calculates the rolling average of a data set. * * @param {!Array.<[!number,?number,?]>} series The series in the unified * data format where series[i] = [x,y,{extras}]. * @param {!number} rollPeriod The number of points over which to average the data * @param {!DygraphOptions} options The dygraph options. * @param {!number} seriesIndex Index of the series this was extracted from. * @return {!Array.<[!number,?number,?]>} the rolled series. */ handler.prototype.rollingAverage = function (series, rollPeriod, options, seriesIndex) {}; /** * Computes the range of the data series (including confidence intervals). * * @param {!Array.<[!number,?number,?]>} series The series in the unified * data format where series[i] = [x, y, {extras}]. * @param {!Array.<number>} dateWindow The x-value range to display with * the format: [min, max]. * @param {boolean} stepPlot Whether the stepPlot option is set. * @return {Array.<number>} The low and high extremes of the series in the * given window with the format: [low, high]. */ handler.prototype.getExtremeYValues = function (series, dateWindow, stepPlot) {}; /** * Callback called for each series after the layouting data has been * calculated before the series is drawn. Here normalized positioning data * should be calculated for the extras of each point. * * @param {!Array.<Dygraph.PointType>} points The points passed to * the plotter. * @param {!Object} axis The axis on which the series will be plotted. * @param {!boolean} logscale Whether or not to use a logscale. */ handler.prototype.onLineEvaluated = function (points, axis, logscale) {}; /** * Optimized replacement for parseFloat, which was way too slow when almost * all values were type number, with few edge cases, none of which were strings. * @param {?number} val * @return {number} * @protected */ handler.parseFloat = function (val) { // parseFloat(null) is NaN if (val === null) { return NaN; } // Assume it's a number or NaN. If it's something else, I'll be shocked. return val; }; var _default = DygraphDataHandler; exports["default"] = _default; module.exports = exports.default; //# sourceMappingURL=data:application/json;charset=utf-8;base64,{"version":3,"names":["DygraphDataHandler","handler","X","Y","EXTRAS","prototype","extractSeries","rawData","seriesIndex","options","seriesToPoints","series","setName","boundaryIdStart","points","i","length","item","yraw","yval","parseFloat","point","x","NaN","y","xval","name","idx","canvasx","canvasy","push","onPointsCreated_","rollingAverage","rollPeriod","getExtremeYValues","dateWindow","stepPlot","onLineEvaluated","axis","logscale","val"],"sources":["../../src/datahandler/datahandler.js"],"sourcesContent":["/**\n * @license\n * Copyright 2013 David Eberlein (david.eberlein@ch.sauter-bc.com)\n * MIT-licenced: https://opensource.org/licenses/MIT\n */\n\n/**\n * @fileoverview This file contains the managment of data handlers\n * @author David Eberlein (david.eberlein@ch.sauter-bc.com)\n *\n * The idea is to define a common, generic data format that works for all data\n * structures supported by dygraphs. To make this possible, the DataHandler\n * interface is introduced. This makes it possible, that dygraph itself can work\n * with the same logic for every data type independent of the actual format and\n * the DataHandler takes care of the data format specific jobs.\n * DataHandlers are implemented for all data types supported by Dygraphs and\n * return Dygraphs compliant formats.\n * By default the correct DataHandler is chosen based on the options set.\n * Optionally the user may use his own DataHandler (similar to the plugin\n * system).\n *\n *\n * The unified data format returend by each handler is defined as so:\n * series[n][point] = [x,y,(extras)]\n *\n * This format contains the common basis that is needed to draw a simple line\n * series extended by optional extras for more complex graphing types. It\n * contains a primitive x value as first array entry, a primitive y value as\n * second array entry and an optional extras object for additional data needed.\n *\n * x must always be a number.\n * y must always be a number, NaN of type number or null.\n * extras is optional and must be interpreted by the DataHandler. It may be of\n * any type.\n *\n * In practice this might look something like this:\n * default: [x, yVal]\n * errorBar / customBar: [x, yVal, [yTopVariance, yBottomVariance] ]\n *\n */\n/*global Dygraph:false */\n/*global DygraphLayout:false */\n\n\"use strict\";\n\n/**\n *\n * The data handler is responsible for all data specific operations. All of the\n * series data it receives and returns is always in the unified data format.\n * Initially the unified data is created by the extractSeries method\n * @constructor\n */\nvar DygraphDataHandler = function () {\n};\n\nvar handler = DygraphDataHandler;\n\n/**\n * X-value array index constant for unified data samples.\n * @const\n * @type {number}\n */\nhandler.X = 0;\n\n/**\n * Y-value array index constant for unified data samples.\n * @const\n * @type {number}\n */\nhandler.Y = 1;\n\n/**\n * Extras-value array index constant for unified data samples.\n * @const\n * @type {number}\n */\nhandler.EXTRAS = 2;\n\n/**\n * Extracts one series from the raw data (a 2D array) into an array of the\n * unified data format.\n * This is where undesirable points (i.e. negative values on log scales and\n * missing values through which we wish to connect lines) are dropped.\n * TODO(danvk): the \"missing values\" bit above doesn't seem right.\n *\n * @param {!Array.<Array>} rawData The raw data passed into dygraphs where\n *     rawData[i] = [x,ySeries1,...,ySeriesN].\n * @param {!number} seriesIndex Index of the series to extract. All other\n *     series should be ignored.\n * @param {!DygraphOptions} options Dygraph options.\n * @return {Array.<[!number,?number,?]>} The series in the unified data format\n *     where series[i] = [x,y,{extras}].\n */\nhandler.prototype.extractSeries = function(rawData, seriesIndex, options) {\n};\n\n/**\n * Converts a series to a Point array.  The resulting point array must be\n * returned in increasing order of idx property.\n *\n * @param {!Array.<[!number,?number,?]>} series The series in the unified\n *          data format where series[i] = [x,y,{extras}].\n * @param {!string} setName Name of the series.\n * @param {!number} boundaryIdStart Index offset of the first point, equal to the\n *          number of skipped points left of the date window minimum (if any).\n * @return {!Array.<Dygraph.PointType>} List of points for this series.\n */\nhandler.prototype.seriesToPoints = function(series, setName, boundaryIdStart) {\n  // TODO(bhs): these loops are a hot-spot for high-point-count charts. In\n  // fact,\n  // on chrome+linux, they are 6 times more expensive than iterating through\n  // the\n  // points and drawing the lines. The brunt of the cost comes from allocating\n  // the |point| structures.\n  var points = [];\n  for ( var i = 0; i < series.length; ++i) {\n    var item = series[i];\n    var yraw = item[1];\n    var yval = yraw === null ? null : handler.parseFloat(yraw);\n    var point = {\n      x : NaN,\n      y : NaN,\n      xval : handler.parseFloat(item[0]),\n      yval : yval,\n      name : setName, // TODO(danvk): is this really necessary?\n      idx : i + boundaryIdStart,\n      canvasx: NaN, // add these so we do not alter the structure later, which slows Chrome\n      canvasy: NaN,\n    };\n    points.push(point);\n  }\n  this.onPointsCreated_(series, points);\n  return points;\n};\n\n/**\n * Callback called for each series after the series points have been generated\n * which will later be used by the plotters to draw the graph.\n * Here data may be added to the seriesPoints which is needed by the plotters.\n * The indexes of series and points are in sync meaning the original data\n * sample for series[i] is points[i].\n *\n * @param {!Array.<[!number,?number,?]>} series The series in the unified\n *     data format where series[i] = [x,y,{extras}].\n * @param {!Array.<Dygraph.PointType>} points The corresponding points passed\n *     to the plotter.\n * @protected\n */\nhandler.prototype.onPointsCreated_ = function(series, points) {\n};\n\n/**\n * Calculates the rolling average of a data set.\n *\n * @param {!Array.<[!number,?number,?]>} series The series in the unified\n *          data format where series[i] = [x,y,{extras}].\n * @param {!number} rollPeriod The number of points over which to average the data\n * @param {!DygraphOptions} options The dygraph options.\n * @param {!number} seriesIndex Index of the series this was extracted from.\n * @return {!Array.<[!number,?number,?]>} the rolled series.\n */\nhandler.prototype.rollingAverage = function(series, rollPeriod, options, seriesIndex) {\n};\n\n/**\n * Computes the range of the data series (including confidence intervals).\n *\n * @param {!Array.<[!number,?number,?]>} series The series in the unified\n *     data format where series[i] = [x, y, {extras}].\n * @param {!Array.<number>} dateWindow The x-value range to display with\n *     the format: [min, max].\n * @param {boolean} stepPlot Whether the stepPlot option is set.\n * @return {Array.<number>} The low and high extremes of the series in the\n *     given window with the format: [low, high].\n */\nhandler.prototype.getExtremeYValues = function(series, dateWindow, stepPlot) {\n};\n\n/**\n * Callback called for each series after the layouting data has been\n * calculated before the series is drawn. 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