Commit | Line | Data |
---|---|---|
f35016e8 DV |
1 | /** |
2 | * @fileoverview FILL THIS IN | |
3 | * | |
4 | * @author danvk@google.com (Dan Vanderkam) | |
5 | */ | |
6 | var errorBarsTestCase = TestCase("error-bars"); | |
7 | ||
8 | errorBarsTestCase.prototype.setUp = function() { | |
9 | document.body.innerHTML = "<div id='graph'></div>"; | |
10 | }; | |
11 | ||
4707563c | 12 | errorBarsTestCase._origFunc = Dygraph.getContext; |
f35016e8 DV |
13 | errorBarsTestCase.prototype.setUp = function() { |
14 | document.body.innerHTML = "<div id='graph'></div>"; | |
15 | Dygraph.getContext = function(canvas) { | |
4707563c | 16 | return new Proxy(errorBarsTestCase._origFunc(canvas)); |
f35016e8 DV |
17 | } |
18 | }; | |
19 | ||
20 | errorBarsTestCase.prototype.tearDown = function() { | |
4707563c | 21 | Dygraph.getContext = errorBarsTestCase._origFunc; |
f35016e8 DV |
22 | }; |
23 | ||
97583b90 | 24 | errorBarsTestCase.prototype.testErrorBarsDrawn = function() { |
f35016e8 DV |
25 | var opts = { |
26 | width: 480, | |
27 | height: 320, | |
28 | drawXGrid: false, | |
29 | drawYGrid: false, | |
30 | drawXAxis: false, | |
31 | drawYAxis: false, | |
32 | customBars: true, | |
33 | errorBars: true | |
34 | }; | |
35 | var data = [ | |
36 | [1, [10, 10, 100]], | |
37 | [2, [15, 20, 110]], | |
38 | [3, [10, 30, 100]], | |
39 | [4, [15, 40, 110]], | |
40 | [5, [10, 120, 100]], | |
41 | [6, [15, 50, 110]], | |
42 | [7, [10, 70, 100]], | |
43 | [8, [15, 90, 110]], | |
44 | [9, [10, 50, 100]] | |
45 | ]; | |
46 | ||
47 | var graph = document.getElementById("graph"); | |
48 | var g = new Dygraph(graph, data, opts); | |
49 | ||
50 | htx = g.hidden_ctx_; | |
51 | ||
52 | var attrs = {}; // TODO(danvk): fill in | |
53 | ||
54 | for (var i = 0; i < data.length - 1; i++) { | |
55 | // bottom line | |
56 | var xy1 = g.toDomCoords(data[i][0], data[i][1][0]); | |
57 | var xy2 = g.toDomCoords(data[i + 1][0], data[i + 1][1][0]); | |
58 | CanvasAssertions.assertLineDrawn(htx, xy1, xy2, attrs); | |
59 | ||
60 | // top line | |
61 | xy1 = g.toDomCoords(data[i][0], data[i][1][2]); | |
62 | xy2 = g.toDomCoords(data[i + 1][0], data[i + 1][1][2]); | |
63 | CanvasAssertions.assertLineDrawn(htx, xy1, xy2, attrs); | |
64 | ||
65 | // middle line | |
66 | xy1 = g.toDomCoords(data[i][0], data[i][1][1]); | |
67 | xy2 = g.toDomCoords(data[i + 1][0], data[i + 1][1][1]); | |
68 | CanvasAssertions.assertLineDrawn(htx, xy1, xy2, attrs); | |
69 | } | |
70 | ||
71 | g.updateOptions({logscale: true}); | |
72 | ||
73 | for (var i = 0; i < data.length - 1; i++) { | |
74 | // bottom line | |
75 | var xy1 = g.toDomCoords(data[i][0], data[i][1][0]); | |
76 | var xy2 = g.toDomCoords(data[i + 1][0], data[i + 1][1][0]); | |
77 | CanvasAssertions.assertLineDrawn(htx, xy1, xy2, attrs); | |
78 | ||
79 | // top line | |
80 | xy1 = g.toDomCoords(data[i][0], data[i][1][2]); | |
81 | xy2 = g.toDomCoords(data[i + 1][0], data[i + 1][1][2]); | |
82 | CanvasAssertions.assertLineDrawn(htx, xy1, xy2, attrs); | |
83 | ||
84 | // middle line | |
85 | xy1 = g.toDomCoords(data[i][0], data[i][1][1]); | |
86 | xy2 = g.toDomCoords(data[i + 1][0], data[i + 1][1][1]); | |
87 | CanvasAssertions.assertLineDrawn(htx, xy1, xy2, attrs); | |
88 | } | |
b941564d | 89 | g.destroy(); // Restore balanced saves and restores. |
6278f6fe | 90 | CanvasAssertions.assertBalancedSaveRestore(htx); |
f35016e8 DV |
91 | }; |
92 | ||
debdb88d DV |
93 | errorBarsTestCase.prototype.testErrorBarsCorrectColors = function() { |
94 | // Two constant series with constant error. | |
95 | var data = [ | |
96 | [0, [100, 50], [200, 50]], | |
97 | [1, [100, 50], [200, 50]] | |
98 | ]; | |
99 | ||
100 | var opts = { | |
101 | errorBars: true, | |
102 | sigma: 1.0, | |
103 | fillAlpha: 0.15, | |
104 | colors: ['#00ff00', '#0000ff'], | |
105 | drawXGrid: false, | |
106 | drawYGrid: false, | |
107 | drawXAxis: false, | |
108 | drawYAxis: false, | |
109 | width: 400, | |
110 | height: 300, | |
111 | valueRange: [0, 300], | |
112 | labels: ['X', 'Y1', 'Y2'] | |
113 | }; | |
114 | var graph = document.getElementById("graph"); | |
115 | var g = new Dygraph(graph, data, opts); | |
116 | ||
117 | // y-pixels (0=top, 299=bottom) | |
118 | // 0- 48: empty (white) | |
119 | // 49- 98: Y2 error bar | |
120 | // 99: Y2 center line | |
121 | // 100-148: Y2 error bar | |
122 | // 149-198: Y1 error bar | |
123 | // 199: Y1 center line | |
124 | // 200-248: Y1 error bar | |
125 | // 249-299: empty (white) | |
126 | // TODO(danvk): test the edges of these regions. | |
127 | ||
12b879f4 DV |
128 | assertEquals([0, 0, 255, 38], Util.samplePixel(g.hidden_, 200, 75)); |
129 | assertEquals([0, 0, 255, 38], Util.samplePixel(g.hidden_, 200, 125)); | |
130 | assertEquals([0, 255, 0, 38], Util.samplePixel(g.hidden_, 200, 175)); | |
131 | assertEquals([0, 255, 0, 38], Util.samplePixel(g.hidden_, 200, 225)); | |
7522b21b DV |
132 | }; |
133 | ||
134 | ||
135 | // Regression test for http://code.google.com/p/dygraphs/issues/detail?id=392 | |
136 | errorBarsTestCase.prototype.testRollingAveragePreservesNaNs = function() { | |
137 | var graph = document.getElementById("graph"); | |
a49c164a DE |
138 | var data = |
139 | [ | |
7522b21b DV |
140 | [1, [null, null], [3,1]], |
141 | [2, [2, 1], [null, null]], | |
142 | [3, [null, null], [5,1]], | |
143 | [4, [4, 0.5], [null, null]], | |
144 | [5, [null, null], [7,1]], | |
145 | [6, [NaN, NaN], [null, null]], | |
146 | [8, [8, 1], [null, null]], | |
147 | [10, [10, 1], [null, null]] | |
a49c164a DE |
148 | ]; |
149 | var g = new Dygraph(graph, data, | |
150 | { | |
7522b21b DV |
151 | labels: ['x', 'A', 'B' ], |
152 | connectSeparatedPoints: true, | |
153 | drawPoints: true, | |
154 | errorBars: true | |
155 | } | |
156 | ); | |
157 | ||
a49c164a DE |
158 | var in_series = g.dataHandler_.extractSeries(data, 1, g.attributes_); |
159 | ||
160 | assertEquals(null, in_series[4][1]); | |
161 | assertEquals(null, in_series[4][2][0]); | |
162 | assertEquals(null, in_series[4][2][1]); | |
163 | assertNaN(in_series[5][1]); | |
164 | assertNaN(in_series[5][2][0]); | |
165 | assertNaN(in_series[5][2][1]); | |
166 | ||
167 | var out_series = g.dataHandler_.rollingAverage(in_series, 1, g.attributes_); | |
168 | assertNaN(out_series[5][1]); | |
169 | assertNaN(out_series[5][2][0]); | |
170 | assertNaN(out_series[5][2][1]); | |
171 | assertEquals(null, out_series[4][1]); | |
172 | assertEquals(null, out_series[4][2][0]); | |
173 | assertEquals(null, out_series[4][2][1]); | |
7522b21b | 174 | }; |