/*global Dygraph:false */
/*global DygraphLayout:false */
-(function() {
-
-"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
+ */
+Dygraph.DataHandler = function () {
+};
/**
* A collection of functions to create and retrieve data handlers.
*/
Dygraph.DataHandlers = {};
+(function() {
+
+"use strict";
+
+var handler = Dygraph.DataHandler;
+
/**
- *
- * 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
+ * X-value array index constant for unified data samples.
+ * @const
+ * @type {number}
*/
-Dygraph.DataHandler = function () {
- /**
- * Constructor for all data handlers.
- * @constructor
- */
- var handler = function() {
- return this;
- };
-
- /**
- * X-value array index constant for unified data samples.
- * @const
- * @type {number}
- */
- handler.X = 0;
+handler.X = 0;
- /**
- * Y-value array index constant for unified data samples.
- * @const
- * @type {number}
- */
- handler.Y = 1;
+/**
+ * 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;
+/**
+ * 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 rawData {!Array.<Array>} The raw data passed into dygraphs where
- * rawData[i] = [x,ySeries1,...,ySeriesN].
- * @param seriesIndex {!number} Index of the series to extract. All other series should
- * be ignored.
- * @param options {!DygraphOptions} Dygraph options.
- * @returns {Array.<[!number,?number,?]>} The series in the unified data format
- * where series[i] = [x,y,{extras}].
- * @public
- */
- handler.prototype.extractSeries = function(rawData, seriesIndex, options) {
- };
+/**
+ * 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.
- *
- * @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.
- * @public
- */
- 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 : DygraphLayout.parseFloat_(yraw);
- var point = {
- x : NaN,
- y : NaN,
- xval : DygraphLayout.parseFloat_(item[0]),
- yval : yval,
- name : setName, // TODO(danvk): is this really necessary?
- idx : i + boundaryIdStart
- };
- points.push(point);
- }
- handler.prototype.onPointsCreated_(series, points);
- return points;
- };
+/**
+ * Converts a series to a Point array.
+ *
+ * @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
+ };
+ 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.
- * @private
- */
- handler.prototype.onPointsCreated_ = function(series, 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.
- * @return the rolled series.
- * @public
- */
- handler.prototype.rollingAverage = function(series, rollPeriod, options) {
- };
+/**
+ * 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.
+ * @return {!Array.<[!number,?number,?]>} the rolled series.
+ */
+handler.prototype.rollingAverage = function(series, rollPeriod, options) {
+};
- /**
- * 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 {!DygraphOptions} options The dygraph options.
- * @return {Array.<number>} The low and high extremes of the series in the given window with
- * the format: [low, high].
- * @public
- */
- handler.prototype.getExtremeYValues = function(series, dateWindow, options) {
- };
+/**
+ * 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 {!DygraphOptions} options The dygraph options.
+ * @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, options) {
+};
- /**
- * 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 Weather or not to use a logscale.
- * @public
- */
- handler.prototype.onLineEvaluated = function(points, axis, logscale) {
- };
+/**
+ * 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 Weather or not to use a logscale.
+ */
+handler.prototype.onLineEvaluated = function(points, axis, logscale) {
+};
- /**
- * Helper method that computes the y value of a line defined by the points p1
- * and p2 and a given x value.
- *
- * @param {!Array.<number>} p1 left point ([x,y]).
- * @param {!Array.<number>} p2 right point ([x,y]).
- * @param {!number} xValue The x value to compute the y-intersection for.
- * @return {number} corresponding y value to x on the line defined by p1 and p2.
- * @private
- */
- handler.prototype.computeYInterpolation_ = function(p1, p2, xValue) {
- var deltaY = p2[1] - p1[1];
- var deltaX = p2[0] - p1[0];
- var gradient = deltaY / deltaX;
- var growth = (xValue - p1[0]) * gradient;
- return p1[1] + growth;
- };
+/**
+ * Helper method that computes the y value of a line defined by the points p1
+ * and p2 and a given x value.
+ *
+ * @param {!Array.<number>} p1 left point ([x,y]).
+ * @param {!Array.<number>} p2 right point ([x,y]).
+ * @param {!number} xValue The x value to compute the y-intersection for.
+ * @return {number} corresponding y value to x on the line defined by p1 and p2.
+ * @private
+ */
+handler.prototype.computeYInterpolation_ = function(p1, p2, xValue) {
+ var deltaY = p2[1] - p1[1];
+ var deltaX = p2[0] - p1[0];
+ var gradient = deltaY / deltaX;
+ var growth = (xValue - p1[0]) * gradient;
+ return p1[1] + growth;
+};
- /**
- * Helper method that returns the first and the last index of the given series
- * that lie inside the given dateWindow.
- *
- * @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].
- * @return {!Array.<[!number,?number,?]>} The samples of the series that
- * are in the given date window.
- * @private
- */
- handler.prototype.getIndexesInWindow_ = function(series, dateWindow) {
- var firstIdx = 0, lastIdx = series.length - 1;
- if (dateWindow) {
- var idx = 0;
- var low = dateWindow[0];
- var high = dateWindow[1];
+/**
+ * Helper method that returns the first and the last index of the given series
+ * that lie inside the given dateWindow.
+ *
+ * @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].
+ * @return {!Array.<[!number,?number,?]>} The samples of the series that
+ * are in the given date window.
+ * @private
+ */
+handler.prototype.getIndexesInWindow_ = function(series, dateWindow) {
+ var firstIdx = 0, lastIdx = series.length - 1;
+ if (dateWindow) {
+ var idx = 0;
+ var low = dateWindow[0];
+ var high = dateWindow[1];
- // Start from each side of the array to minimize the performance
- // needed.
- while (idx < series.length - 1 && series[idx][0] < low) {
- firstIdx++;
- idx++;
- }
- idx = series.length - 1;
- while (idx > 0 && series[idx][0] > high) {
- lastIdx--;
- idx--;
- }
+ // Start from each side of the array to minimize the performance
+ // needed.
+ while (idx < series.length - 1 && series[idx][0] < low) {
+ firstIdx++;
+ idx++;
}
- if (firstIdx <= lastIdx) {
- return [ firstIdx, lastIdx ];
- } else {
- return [ 0, series.length - 1 ];
+ idx = series.length - 1;
+ while (idx > 0 && series[idx][0] > high) {
+ lastIdx--;
+ idx--;
}
- };
+ }
+ if (firstIdx <= lastIdx) {
+ return [ firstIdx, lastIdx ];
+ } else {
+ return [ 0, series.length - 1 ];
+ }
+};
+
+/**
+ * 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;
+ }
- return handler;
+ // Assume it's a number or NaN. If it's something else, I'll be shocked.
+ return val;
};
})();
projects / dygraphs.git / blobdiff