| 1 | /** |
| 2 | * @license |
| 3 | * Copyright 2013 David Eberlein (david.eberlein@ch.sauter-bc.com) |
| 4 | * MIT-licensed (http://opensource.org/licenses/MIT) |
| 5 | */ |
| 6 | |
| 7 | /** |
| 8 | * @fileoverview DataHandler default implementation used for simple line charts. |
| 9 | * @author David Eberlein (david.eberlein@ch.sauter-bc.com) |
| 10 | */ |
| 11 | |
| 12 | (function() { |
| 13 | |
| 14 | /*global Dygraph:false */ |
| 15 | "use strict"; |
| 16 | |
| 17 | /** |
| 18 | * @constructor |
| 19 | * @extends Dygraph.DataHandler |
| 20 | */ |
| 21 | Dygraph.DataHandlers.DefaultHandler = function() { |
| 22 | }; |
| 23 | |
| 24 | var DefaultHandler = Dygraph.DataHandlers.DefaultHandler; |
| 25 | DefaultHandler.prototype = new Dygraph.DataHandler(); |
| 26 | |
| 27 | /** @inheritDoc */ |
| 28 | DefaultHandler.prototype.extractSeries = function(rawData, i, options) { |
| 29 | // TODO(danvk): pre-allocate series here. |
| 30 | var series = []; |
| 31 | var logScale = options.get('logscale'); |
| 32 | for ( var j = 0; j < rawData.length; j++) { |
| 33 | var x = rawData[j][0]; |
| 34 | var point = rawData[j][i]; |
| 35 | if (logScale) { |
| 36 | // On the log scale, points less than zero do not exist. |
| 37 | // This will create a gap in the chart. |
| 38 | if (point <= 0) { |
| 39 | point = null; |
| 40 | } |
| 41 | } |
| 42 | series.push([ x, point ]); |
| 43 | } |
| 44 | return series; |
| 45 | }; |
| 46 | |
| 47 | /** @inheritDoc */ |
| 48 | DefaultHandler.prototype.rollingAverage = function(originalData, rollPeriod, |
| 49 | options) { |
| 50 | rollPeriod = Math.min(rollPeriod, originalData.length); |
| 51 | var rollingData = []; |
| 52 | |
| 53 | var i, j, y, sum, num_ok; |
| 54 | // Calculate the rolling average for the first rollPeriod - 1 points |
| 55 | // where |
| 56 | // there is not enough data to roll over the full number of points |
| 57 | if (rollPeriod == 1) { |
| 58 | return originalData; |
| 59 | } |
| 60 | for (i = 0; i < originalData.length; i++) { |
| 61 | sum = 0; |
| 62 | num_ok = 0; |
| 63 | for (j = Math.max(0, i - rollPeriod + 1); j < i + 1; j++) { |
| 64 | y = originalData[j][1]; |
| 65 | if (y === null || isNaN(y)) |
| 66 | continue; |
| 67 | num_ok++; |
| 68 | sum += originalData[j][1]; |
| 69 | } |
| 70 | if (num_ok) { |
| 71 | rollingData[i] = [ originalData[i][0], sum / num_ok ]; |
| 72 | } else { |
| 73 | rollingData[i] = [ originalData[i][0], null ]; |
| 74 | } |
| 75 | } |
| 76 | |
| 77 | return rollingData; |
| 78 | }; |
| 79 | |
| 80 | /** @inheritDoc */ |
| 81 | DefaultHandler.prototype.getExtremeYValues = function(series, dateWindow, |
| 82 | options) { |
| 83 | var minY = null, maxY = null, y; |
| 84 | var firstIdx = 0, lastIdx = series.length - 1; |
| 85 | |
| 86 | for ( var j = firstIdx; j <= lastIdx; j++) { |
| 87 | y = series[j][1]; |
| 88 | if (y === null || isNaN(y)) |
| 89 | continue; |
| 90 | if (maxY === null || y > maxY) { |
| 91 | maxY = y; |
| 92 | } |
| 93 | if (minY === null || y < minY) { |
| 94 | minY = y; |
| 95 | } |
| 96 | } |
| 97 | return [ minY, maxY ]; |
| 98 | }; |
| 99 | |
| 100 | })(); |