dygraphs
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dygraphs is a fast, flexible open source JavaScript charting library.
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JavaScript
/**
* @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 */
;
/**
*
* 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
*/
var DygraphDataHandler = function () {
};
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;
};
export default DygraphDataHandler;