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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 implementation for the custom bars option. | |
9 | * @author David Eberlein (david.eberlein@ch.sauter-bc.com) | |
10 | */ | |
11 | ||
12 | (function() { | |
13 | /*global Dygraph:false */ | |
14 | "use strict"; | |
15 | ||
16 | var CustomBarsHandler = Dygraph.DataHandler(); | |
17 | CustomBarsHandler.prototype = Dygraph.DataHandlers.createHandler("bars"); | |
18 | Dygraph.DataHandlers.registerHandler("bars-custom", CustomBarsHandler); | |
19 | // customBars | |
20 | CustomBarsHandler.prototype.extractSeries = function(rawData, i, options) { | |
21 | // TODO(danvk): pre-allocate series here. | |
22 | var series = []; | |
23 | var x, y, point; | |
24 | var logScale = options.get('logscale'); | |
25 | for ( var j = 0; j < rawData.length; j++) { | |
26 | x = rawData[j][0]; | |
27 | point = rawData[j][i]; | |
28 | if (logScale && point !== null) { | |
29 | // On the log scale, points less than zero do not exist. | |
30 | // This will create a gap in the chart. | |
31 | if (point[0] <= 0 || point[1] <= 0 || point[2] <= 0) { | |
32 | point = null; | |
33 | } | |
34 | } | |
35 | // Extract to the unified data format. | |
36 | if (point !== null) { | |
37 | y = point[1]; | |
38 | if (y !== null && !isNaN(y)) { | |
39 | series.push([ x, y, [ point[0], point[2] ] ]); | |
40 | } else { | |
41 | series.push([ x, y, [ y, y ] ]); | |
42 | } | |
43 | } else { | |
44 | series.push([ x, null, [ null, null ] ]); | |
45 | } | |
46 | } | |
47 | return series; | |
48 | }; | |
49 | ||
50 | CustomBarsHandler.prototype.rollingAverage = function(originalData, rollPeriod, | |
51 | options) { | |
52 | rollPeriod = Math.min(rollPeriod, originalData.length); | |
53 | var rollingData = []; | |
54 | var y, low, high, mid,count, i, extremes; | |
55 | ||
56 | low = 0; | |
57 | mid = 0; | |
58 | high = 0; | |
59 | count = 0; | |
60 | for (i = 0; i < originalData.length; i++) { | |
61 | y = originalData[i][1]; | |
62 | extremes = originalData[i][2]; | |
63 | rollingData[i] = originalData[i]; | |
64 | ||
65 | if (y !== null && !isNaN(y)) { | |
66 | low += extremes[0]; | |
67 | mid += y; | |
68 | high += extremes[1]; | |
69 | count += 1; | |
70 | } | |
71 | if (i - rollPeriod >= 0) { | |
72 | var prev = originalData[i - rollPeriod]; | |
73 | if (prev[1] !== null && !isNaN(prev[1])) { | |
74 | low -= prev[2][0]; | |
75 | mid -= prev[1]; | |
76 | high -= prev[2][1]; | |
77 | count -= 1; | |
78 | } | |
79 | } | |
80 | if (count) { | |
81 | rollingData[i] = [ | |
82 | originalData[i][0], | |
83 | 1.0 * mid / count, | |
84 | [ 1.0 * low / count, | |
85 | 1.0 * high / count ] ]; | |
86 | } else { | |
87 | rollingData[i] = [ originalData[i][0], null, [ null, null ] ]; | |
88 | } | |
89 | } | |
90 | ||
91 | return rollingData; | |
92 | }; | |
93 | })(); |