-
Notifications
You must be signed in to change notification settings - Fork 0
/
Layout.js
841 lines (716 loc) · 29 KB
/
Layout.js
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
781
782
783
784
785
786
787
788
789
790
791
792
793
794
795
796
797
798
799
800
801
802
803
804
805
806
807
808
809
810
811
812
813
814
815
816
817
818
819
820
821
822
823
824
825
826
827
828
829
830
831
832
833
834
835
836
837
838
839
/*
PlotKit Layout
==============
Handles laying out data on to a virtual canvas square canvas between 0.0
and 1.0. If you want to add new chart/plot types such as point plots,
you need to add them here.
Copyright
---------
Copyright 2005,2006 (c) Alastair Tse <alastair^liquidx.net>
For use under the BSD license. <http://www.liquidx.net/plotkit>
*/
try {
if (typeof(PlotKit.Base) == 'undefined')
{
throw ""
}
}
catch (e) {
throw "PlotKit.Layout depends on MochiKit.{Base,Color,DOM,Format} and PlotKit.Base"
}
// --------------------------------------------------------------------
// Start of Layout definition
// --------------------------------------------------------------------
PlotKit.Layout = function(style, options) {
this.options = {
"barWidthFillFraction": 0.75,
"barOrientation": "vertical",
"xOriginIsZero": true,
"yOriginIsZero": true,
"xAxis": null, // [xmin, xmax]
"yAxis": null, // [ymin, ymax]
"xTicks": null, // [{label: "somelabel", v: value}, ..] (label opt.)
"yTicks": null, // [{label: "somelabel", v: value}, ..] (label opt.)
"xNumberOfTicks": [8, 12],
"yNumberOfTicks": [5, 8],
"xTickPrecision": 1,
"yTickPrecision": 1,
"pieRadius": 0.4,
"piePercentages": true
};
// valid external options : TODO: input verification
this.style = style;
MochiKit.Base.update(this.options, options ? options : {});
// externally visible states
// overriden if xAxis and yAxis are set in options
if (!MochiKit.Base.isUndefinedOrNull(this.options.xAxis)) {
this.minxval = this.options.xAxis[0];
this.maxxval = this.options.xAxis[1];
this.xscale = this.maxxval - this.minxval;
}
else {
this.minxval = 0;
this.maxxval = null;
this.xscale = null; // val -> pos factor (eg, xval * xscale = xpos)
}
if (!MochiKit.Base.isUndefinedOrNull(this.options.yAxis)) {
this.minyval = this.options.yAxis[0];
this.maxyval = this.options.yAxis[1];
this.yscale = this.maxyval - this.minyval;
}
else {
this.minyval = 0;
this.maxyval = null;
this.yscale = null;
}
this.bars = new Array(); // array of bars to plot for bar charts
this.points = new Array(); // array of points to plot for line plots
this.slices = new Array(); // array of slices to draw for pie charts
this.xticks = new Array();
this.yticks = new Array();
// internal states
this.datasets = new Array();
this.datasetNames = new Array();
this.minxdelta = 0;
this.xrange = 1;
this.yrange = 1;
this.hitTestCache = {x2maxy: null};
};
PlotKit.Layout.NAME = "PlotKit.Layout";
PlotKit.Layout.VERSION = PlotKit.VERSION;
PlotKit.Layout.__repr__ = function() {
return "[" + this.NAME + " " + this.VERSION + "]";
};
PlotKit.Layout.toString = function() {
return this.__repr__();
}
PlotKit.Layout.valid_styles = ["bar", "line", "pie", "point"];
// --------------------------------------------------------------------
// Dataset Manipulation
// --------------------------------------------------------------------
PlotKit.Layout.prototype.addDataset = function(setname, set_xy) {
this.datasets[setname] = set_xy;
if (MochiKit.Base.findValue(this.datasetNames, setname) < 0)
this.datasetNames.push(setname);
};
PlotKit.Layout.prototype.removeDataset = function(setname, set_xy) {
delete this.datasets[setname];
this.datasetNames = MochiKit.Base.filter(function(name) { return name != setname; }, this.datasetNames);
};
PlotKit.Layout.prototype.addDatasetFromTable = function(name, tableElement, xcol, ycol, lcol) {
var isNil = MochiKit.Base.isUndefinedOrNull;
var scrapeText = MochiKit.DOM.scrapeText;
var strip = MochiKit.Format.strip;
if (isNil(xcol))
xcol = 0;
if (isNil(ycol))
ycol = 1;
if (isNil(lcol))
lcol = -1;
var rows = tableElement.tBodies[0].rows;
var data = new Array();
var labels = new Array();
if (!isNil(rows)) {
for (var i = 0; i < rows.length; i++) {
data.push([parseFloat(strip(scrapeText(rows[i].cells[xcol]))),
parseFloat(strip(scrapeText(rows[i].cells[ycol])))]);
if (lcol >= 0){
labels.push({v: parseFloat(strip(scrapeText(rows[i].cells[xcol]))),
label: strip(scrapeText(rows[i].cells[lcol]))});
}
}
this.addDataset(name, data);
if (lcol >= 0) {
this.options.xTicks = labels;
}
return true;
}
return false;
};
// --------------------------------------------------------------------
// Evaluates the layout for the current data and style.
// --------------------------------------------------------------------
PlotKit.Layout.prototype.evaluate = function() {
this._evaluateLimits();
this._evaluateScales();
if (this.style == "bar") {
this._evaluateBarTicks();
if (this.options.barOrientation == "horizontal") {
this._evaluateHorizBarCharts();
}
else {
this._evaluateBarCharts();
}
} else if (this.style == "pie") {
this._evaluatePieCharts();
this._evaluatePieTicks();
} else {
this._evaluateLineTicks();
this._evaluateLineCharts();
}
};
// Given the fractional x, y positions, report the corresponding
// x, y values.
PlotKit.Layout.prototype.hitTest = function(x, y) {
// TODO: make this more efficient with better datastructures
// for this.bars, this.points and this.slices
var f = MochiKit.Format.twoDigitFloat;
if ((this.style == "bar") && this.bars && (this.bars.length > 0)) {
for (var i = 0; i < this.bars.length; i++) {
var bar = this.bars[i];
if ((x >= bar.x) && (x <= bar.x + bar.w)
&& (y >= bar.y) && (y - bar.y <= bar.h))
return bar;
}
}
else if (this.style == "line") {
if (this.hitTestCache.x2maxy == null) {
this._regenerateHitTestCache();
}
// 1. find the xvalues that equal or closest to the give x
var xval = x / this.xscale;
var xvalues = this.hitTestCache.xvalues;
var xbefore = null;
var xafter = null;
for (var i = 1; i < xvalues.length; i++) {
if (xvalues[i] > xval) {
xbefore = xvalues[i-1];
xafter = xvalues[i];
break;
}
}
if ((xbefore != null)) {
var ybefore = this.hitTestCache.x2maxy[xbefore];
var yafter = this.hitTestCache.x2maxy[xafter];
var yval = (1.0 - y)/this.yscale;
// interpolate whether we will fall inside or outside
var gradient = (yafter - ybefore) / (xafter - xbefore);
var projmaxy = ybefore + gradient * (xval - xbefore);
if (projmaxy >= yval) {
// inside the highest curve (roughly)
var obj = {xval: xval, yval: yval,
xafter: xafter, yafter: yafter,
xbefore: xbefore, ybefore: ybefore,
yprojected: projmaxy
};
return obj;
}
}
}
else if (this.style == "pie") {
var dist = Math.sqrt((y-0.5)*(y-0.5) + (x-0.5)*(x-0.5));
if (dist > this.options.pieRadius)
return null;
// TODO: actually doesn't work if we don't know how the Canvas
// lays it out, need to fix!
var angle = 0.0;
if (y < 0.5 && x < 0.5) {
angle = Math.atan2(y - 0.5, x - 0.5) + 5 * Math.PI/2;
}
else {
angle = Math.atan2(y - 0.5, x - 0.5) + Math.PI/2;
}
for (var i = 0; i < this.slices.length; i++) {
var slice = this.slices[i];
if (slice.startAngle < angle && slice.endAngle >= angle)
return slice;
}
}
return null;
};
// Reports valid position rectangle for X value (only valid for bar charts)
PlotKit.Layout.prototype.rectForX = function(x) {
return null;
};
// Reports valid angles through which X value encloses (only valid for pie charts)
PlotKit.Layout.prototype.angleRangeForX = function(x) {
return null;
};
// --------------------------------------------------------------------
// START Internal Functions
// --------------------------------------------------------------------
PlotKit.Layout.prototype._evaluateLimits = function() {
// take all values from all datasets and find max and min
var map = PlotKit.Base.map;
var items = PlotKit.Base.items;
var itemgetter = MochiKit.Base.itemgetter;
var collapse = PlotKit.Base.collapse;
var listMin = MochiKit.Base.listMin;
var listMax = MochiKit.Base.listMax;
var isNil = MochiKit.Base.isUndefinedOrNull;
var all = collapse(map(itemgetter(1), items(this.datasets)));
if (isNil(this.options.xAxis)) { // calc minxval, maxxval from dataset
if (this.options.xOriginIsZero)
this.minxval = 0;
else
this.minxval = listMin(map(parseFloat, map(itemgetter(0), all)));
this.maxxval = listMax(map(parseFloat, map(itemgetter(0), all)));
}
else {
this.minxval = this.options.xAxis[0];
this.maxxval = this.options.xAxis[1];
this.xscale = this.maxval - this.minxval;
}
if (isNil(this.options.yAxis)) {
if (this.options.yOriginIsZero)
this.minyval = 0;
else
this.minyval = listMin(map(parseFloat, map(itemgetter(1), all)));
this.maxyval = listMax(map(parseFloat, map(itemgetter(1), all)));
}
else {
this.minyval = this.options.yAxis[0];
this.maxyval = this.options.yAxis[1];
this.yscale = this.maxyval - this.minyval;
}
};
PlotKit.Layout.prototype._evaluateScales = function() {
var isNil = MochiKit.Base.isUndefinedOrNull;
this.xrange = this.maxxval - this.minxval;
if (this.xrange == 0)
this.xscale = 1.0;
else
this.xscale = 1/this.xrange;
this.yrange = this.maxyval - this.minyval;
if (this.yrange == 0)
this.yscale = 1.0;
else
this.yscale = 1/this.yrange;
};
PlotKit.Layout.prototype._uniqueXValues = function(includeArray) {
var collapse = PlotKit.Base.collapse;
var map = PlotKit.Base.map;
var uniq = PlotKit.Base.uniq;
var getter = MochiKit.Base.itemgetter;
var items = PlotKit.Base.items;
var xvalues = map(parseFloat, map(getter(0), collapse(map(getter(1), items(this.datasets)))));
// concatenate any passed iterable object to the xvalues
try {
xvalues = MochiKit.Base.concat(xvalues, includeArray);
} catch (e) {}
xvalues.sort(MochiKit.Base.compare);
return uniq(xvalues);
};
PlotKit.Layout.prototype._barChartXDelta = function() {
/*
Work out the maximum bin size where each bin has at most one data point per bin per data set.
The maximum possible bin size for any set is the range for sets with more than one element or the value of the element for sets with one element. Start with that value and work down.
*/
var xbin = (this.xrange == 0) ? this.maxxval : this.xrange;
// get the sorted bag of x values, make sure to include the min and max values.
var xvalues = this._uniqueXValues([this.minxval, this.maxxval]);
// find the smallest difference between x values, this corresponds to the maximum bin size.
for (var i = 1; i < xvalues.length; i++) {
xbin = Math.min(Math.abs(xvalues[i] - xvalues[i-1]), xbin);
}
this.minxdelta = xbin;
// Now that we have the maximum bin size we need to re-adjust the xscale to take this into account.
this.xscale = 1 / (this.xrange + this.minxdelta);
};
// Create the bars
PlotKit.Layout.prototype._evaluateBarCharts = function() {
var setCount = this.datasetNames.length;
var barWidth = this.minxdelta * this.xscale * this.options.barWidthFillFraction;
var barWidthForSet = barWidth / setCount;
var barMargin = (this.minxdelta * this.xscale - barWidth) / 2;
// add all the rects
this.bars = new Array();
for (var i = 0; i < this.datasetNames.length; i++) {
var setName = this.datasetNames[i];
var dataset = this.datasets[setName];
if (PlotKit.Base.isFuncLike(dataset)) continue;
for (var j = 0; j < dataset.length; j++) {
var item = dataset[j];
var xval = parseFloat(item[0]);
var yval = parseFloat(item[1]);
// Positive bars above x axis, negative bars below x axis
var height = Math.abs(yval * this.yscale);
var xaxispos = 1.0 + this.minyval * this.yscale;
var y = (yval >= 0.0) ? xaxispos - height : xaxispos;
// What happens if the values go beyond our defined axis range
if (y < 0.0) { // limit at top end of axis range
height += y; y = 0.0;
}
if (y + height > 1.0) { // limit at bottom end of axis range
height = 1.0 - y;
}
if (height < 0.0) height = 0.0;
if (y > 1.0) y = 1.0;
// Create the bar
var rect = {
x: ((xval - this.minxval) * this.xscale) + (i * barWidthForSet) + barMargin,
w: barWidthForSet, y: y, h: height, xval: xval, yval: yval, name: setName
};
if ((rect.x >= 0.0) && (rect.x <= 1.0)) this.bars.push(rect);
}
}
};
// Create the horizontal bars
PlotKit.Layout.prototype._evaluateHorizBarCharts = function() {
var setCount = this.datasetNames.length;
var barWidth = this.minxdelta * this.xscale * this.options.barWidthFillFraction;
var barWidthForSet = barWidth / setCount;
var barMargin = (this.minxdelta * this.xscale - barWidth) / 2;
// add all the rects
this.bars = new Array();
for (var i = 0; i < this.datasetNames.length; i++) {
var setName = this.datasetNames[i];
var dataset = this.datasets[setName];
if (PlotKit.Base.isFuncLike(dataset)) continue;
for (var j = 0; j < dataset.length; j++) {
var item = dataset[j];
var rect = {
y: ((parseFloat(item[0]) - this.minxval) * this.xscale) + (i * barWidthForSet) + barMargin,
x: 0.0,
h: barWidthForSet,
w: ((parseFloat(item[1]) - this.minyval) * this.yscale),
xval: parseFloat(item[0]),
yval: parseFloat(item[1]),
name: setName
};
// limit the x, y values so they do not overdraw
if (rect.y <= 0.0) {
rect.y = 0.0;
}
if (rect.y >= 1.0) {
rect.y = 1.0;
}
if ((rect.x >= 0.0) && (rect.x <= 1.0)) {
this.bars.push(rect);
}
}
}
};
// Create the line charts
PlotKit.Layout.prototype._evaluateLineCharts = function() {
var setCount = this.datasetNames.length;
// add all the rects
this.points = new Array();
for (var i = 0; i < this.datasetNames.length; i++) {
var setName = this.datasetNames[i];
var dataset = this.datasets[setName];
if (PlotKit.Base.isFuncLike(dataset)) continue;
if (this.style != "area") {
dataset.sort(function(a, b) {
return MochiKit.Base.compare(parseFloat(a[0]), parseFloat(b[0]));
});
}
for (var j = 0; j < dataset.length; j++) {
var item = dataset[j];
var point = {
x: ((parseFloat(item[0]) - this.minxval) * this.xscale),
y: 1.0 - ((parseFloat(item[1]) - this.minyval) * this.yscale),
xval: parseFloat(item[0]),
yval: parseFloat(item[1]),
name: setName
};
// limit the x, y values so they do not overdraw
if (point.y <= 0.0) {
point.y = 0.0;
}
if (point.y >= 1.0) {
point.y = 1.0;
}
if ((point.x >= 0.0) && (point.x <= 1.0)) {
this.points.push(point);
}
}
}
};
// Create the pie charts
PlotKit.Layout.prototype._evaluatePieCharts = function() {
var map = MochiKit.Base.map;
var sum = MochiKit.Iter.sum;
var getter = MochiKit.Base.itemgetter;
var setCount = this.datasetNames.length;
// we plot the y values of the first dataset
var dataset = this.datasets[this.datasetNames[0]];
var total = sum(map(getter(1), dataset));
this.slices = new Array();
var currentAngle = 0.0;
for (var i = 0; i < dataset.length; i++) {
var fraction = dataset[i][1] / total;
var startAngle = currentAngle * Math.PI * 2;
var endAngle = (currentAngle + fraction) * Math.PI * 2;
var slice = {fraction: fraction,
xval: dataset[i][0],
yval: dataset[i][1],
startAngle: startAngle,
endAngle: endAngle
};
if (dataset[i][1] != 0) {
this.slices.push(slice);
}
currentAngle += fraction;
}
};
/**
* Chooses a visually appealing scale to use for a chart axis. The idea is to place ticks (subdivision
* markers) in regularly spaced intervals, where the interval is a pretty round number. If minValue is
* negative and maxValue is positive we ensure that there is a tick at zero.
*
* @param minValue {float} The smallest value which must fit in the chart.
* @param maxValue {float} The greatest value which must fit in the chart.
* @param numTicks {int or array of int} If the value is a number, the exact number of ticks
* required; if the value is an array [a, b] then we search for the best-matching scale
* with at least a and at most b ticks.
* @param maxTicks {int} The maximum number of ticks allowed.
* @returns {object} An object with the following fields:
* ticks: {int} The number of ticks on the axis (including the zero tick and the maximum tick)
* spacing: {float} The interval by which the value increases on each tick
* min: {float} The minimum value on the axis.
* max: {float} The maximum value on the axis. We have max-min=spacing*(ticks-1).
*/
PlotKit.Layout.prototype._getBestScale = function(minValue, maxValue, numTicks) {
// The spacings which we want to allow. For example, a spacing of 3 could produce a list
// of ticks like 0, 300, 600, 900, 1200, 1500.
var spacings = [1, 2, 2.5, 3, 4, 5];
var minTicks = 5; var maxTicks = 8; // defaults if nothing else is set
if (MochiKit.Base.isArrayLike(numTicks)) {
if (numTicks.length >= 2) {
minTicks = numTicks[0]; maxTicks = numTicks[1];
} else {
numTicks = numTicks[0];
}
}
if (typeof(numTicks) == 'number') {
minTicks = maxTicks = numTicks;
}
// If there's no variation in the values, force a scale with a range of 1.
if (maxValue < minValue) {
var tmp = maxValue; maxValue = minValue; minValue = tmp;
}
var valueRange = maxValue - minValue;
if (valueRange < 1e-10) {
maxValue = minValue + 1; valueRange = 1;
}
// Iterate over all possible combinations of number of ticks and spacings, and choose the best
var bestFit = null;
for (var ticks = minTicks; ticks <= maxTicks; ticks++) {
for (var spacingIndex = 0; spacingIndex < spacings.length; spacingIndex++) {
// Find the right order of magnitude for our range
var thisRange = spacings[spacingIndex] * (ticks - 1);
while (thisRange < valueRange) {
thisRange *= 10;
}
while (thisRange >= valueRange*10) {
thisRange /= 10;
}
// Round maxValue upwards and minValue downwards to the nearest tick. This might cause
// us to burst the range we just chose; if that is the case, just ignore this combination
// of spacing and number of ticks (we'd have to go up by an order of magnitude, which
// would make it a rubbish choice of scale).
var spacing = thisRange / (ticks - 1);
var maxRounded = spacing * Math.ceil(maxValue / spacing);
var minRounded = spacing * Math.floor(minValue / spacing);
var roundedRange = maxRounded - minRounded;
if (roundedRange > thisRange) {
continue;
}
// The best fit is the one where the distance of the extreme values from the rounded extreme
// values is smallest.
var error = thisRange - valueRange;
if ((bestFit == null) || (error < bestFit.error)) {
bestFit = {ticks: ticks, spacing: spacing, max: minRounded + thisRange, min: minRounded, error: error};
}
}
}
MochiKit.Logging.log("bestFit");
return bestFit;
};
PlotKit.Layout.prototype._evaluateLineTicksForXAxis = function() {
var isNil = MochiKit.Base.isUndefinedOrNull;
if (this.options.xTicks) {
// we use use specified ticks with optional labels
this.xticks = new Array();
var makeTicks = function(tick) {
var label = tick.label;
if (isNil(label))
label = tick.v.toString();
if (!isNil(tick.tooltip))
label = MochiKit.DOM.SPAN({ title: tick.tooltip }, label);
var pos = this.xscale * (tick.v - this.minxval);
if ((pos >= 0.0) && (pos <= 1.0)) {
this.xticks.push([pos, label]);
}
};
MochiKit.Iter.forEach(this.options.xTicks,
MochiKit.Base.bind(makeTicks, this));
}
else if (this.options.xNumberOfTicks) {
// Automatically determine ticks
var prec = this.options.xTickPrecision;
var xvalues = this._uniqueXValues();
var maxTicks = this.options.xNumberOfTicks;
if (MochiKit.Base.isArrayLike(this.options.xNumberOfTicks)) {
maxTicks = this.options.xNumberOfTicks[1];
}
this.xticks = new Array();
// TODO: how do we know whether we should use the exact x values as ticks
// or create a scale based on their minimum and maximum? Current heuristic:
// number of unique x values > maximum number of ticks => generate scale.
// Might be better though to examine how 'round' the actual values are.
if (true) { //(xvalues.length > maxTicks) { // FIXME this heuristic doesn't work
// Create one tick for each unique x value
for (var i = 0; i < xvalues.length; i++) {
var pos = this.xscale * (xvalues[i] - this.minxval);
// FIXME take xTickPrecision option into account?
//this.xticks.push([pos, MochiKit.Format.roundToFixed(xvalues[i], prec)]);
if ((pos >= 0) && (pos <= 1)) {
this.xticks.push([pos, xvalues[i]]);
}
}
} else {
// Generate a scale based on the minimum and maximum x values
var scale = this._getBestScale(this.minxval, this.maxxval, this.options.xNumberOfTicks);
this.minxval = scale.min;
this.maxxval = scale.max;
for (var i = 0; i < scale.ticks; i++) {
var xval = scale.min + i * scale.spacing;
var pos = i / (scale.ticks - 1); // 0 to 1
this.xticks.push([pos, MochiKit.Format.roundToFixed(xval, prec)]);
}
}
}
};
PlotKit.Layout.prototype._evaluateLineTicksForYAxis = function() {
var isNil = MochiKit.Base.isUndefinedOrNull;
if (this.options.yTicks) {
this.yticks = new Array();
var makeTicks = function(tick) {
var label = tick.label;
if (isNil(label))
label = tick.v.toString();
if (!isNil(tick.tooltip))
label = MochiKit.DOM.SPAN({ title: tick.tooltip }, label);
var pos = 1.0 - (this.yscale * (tick.v - this.minyval));
if ((pos >= 0.0) && (pos <= 1.0)) {
this.yticks.push([pos, label]);
}
};
MochiKit.Iter.forEach(this.options.yTicks,
MochiKit.Base.bind(makeTicks, this));
}
else if (this.options.yNumberOfTicks) {
// Automatically determine ticks
var scale = this._getBestScale(this.minyval, this.maxyval, this.options.yNumberOfTicks);
var prec = this.options.yTickPrecision;
this.minyval = scale.min;
this.maxyval = scale.max;
this.yticks = new Array();
for (var i = 0; i < scale.ticks; i++) {
var yval = scale.min + i * scale.spacing;
var pos = (scale.ticks - i - 1) / (scale.ticks - 1); // 0 to 1, with 0 being the highest-value tick
this.yticks.push([pos, MochiKit.Format.roundToFixed(yval, prec)]);
}
}
};
PlotKit.Layout.prototype._evaluateLineTicks = function() {
this._evaluateLineTicksForXAxis();
this._evaluateLineTicksForYAxis();
this._evaluateScales(); // minxval, maxxval, minyval and maxyval might have changed
};
PlotKit.Layout.prototype._evaluateBarTicks = function() {
this._evaluateLineTicks();
this._barChartXDelta();
var deltaRange = this.maxxval - this.minxval + this.minxdelta;
var offset = 0.5 * this.minxdelta / deltaRange;
var rescale = (this.maxxval - this.minxval) / deltaRange;
var centerInBar = function(tick) {
return [offset + tick[0] * rescale, tick[1]];
};
this.xticks = MochiKit.Base.map(MochiKit.Base.bind(centerInBar, this), this.xticks);
if (this.options.barOrientation == "horizontal") {
// swap scales
var tempticks = this.xticks;
this.xticks = this.yticks;
this.yticks = tempticks;
// we need to invert the "yaxis" (which is now the xaxis when drawn)
var invert = function(tick) {
return [1.0 - tick[0], tick[1]];
}
this.xticks = MochiKit.Base.map(invert, this.xticks);
}
};
PlotKit.Layout.prototype._evaluatePieTicks = function() {
var isNil = MochiKit.Base.isUndefinedOrNull;
var formatter = MochiKit.Format.numberFormatter("#%");
this.xticks = new Array();
if (this.options.xTicks) {
// make a lookup dict for x->slice values
var lookup = new Array();
for (var i = 0; i < this.slices.length; i++) {
lookup[this.slices[i].xval] = this.slices[i];
}
for (var i =0; i < this.options.xTicks.length; i++) {
var tick = this.options.xTicks[i];
var slice = lookup[tick.v];
var label = tick.label;
if (slice) {
if (isNil(label))
label = tick.v.toString();
if (this.options.pieValue == "value") {
label += " (" + slice.yval + ")";
} else if (this.options.pieValue != "none") {
label += " (" + formatter(slice.fraction) + ")";
}
if (!isNil(tick.tooltip))
label = MochiKit.DOM.SPAN({ title: tick.tooltip }, label);
this.xticks.push([tick.v, label]);
}
}
}
else {
// we make our own labels from all the slices
for (var i =0; i < this.slices.length; i++) {
var slice = this.slices[i];
var label = slice.xval + " (" + formatter(slice.fraction) + ")";
this.xticks.push([slice.xval, label]);
}
}
};
PlotKit.Layout.prototype._regenerateHitTestCache = function() {
this.hitTestCache.xvalues = this._uniqueXValues();
this.hitTestCache.xlookup = new Array();
this.hitTestCache.x2maxy = new Array();
var listMax = MochiKit.Base.listMax;
var itemgetter = MochiKit.Base.itemgetter;
var map = MochiKit.Base.map;
var keys = MochiKit.Base.keys;
// generate a lookup table for x values to y values
for (var i = 0; i < this.datasetNames.length; i++) {
var dataset = this.datasets[this.datasetNames[i]];
for (var j = 0; j < dataset.length; j++) {
var xval = dataset[j][0];
var yval = dataset[j][1];
if (this.hitTestCache.xlookup[xval])
this.hitTestCache.xlookup[xval].push([yval, this.datasetNames[i]]);
else
this.hitTestCache.xlookup[xval] = [[yval, this.datasetNames[i]]];
}
}
for (var x in this.hitTestCache.xlookup) {
var yvals = this.hitTestCache.xlookup[x];
this.hitTestCache.x2maxy[x] = listMax(map(itemgetter(0), yvals));
}
};
// --------------------------------------------------------------------
// END Internal Functions
// --------------------------------------------------------------------
// Namespace Iniitialisation
PlotKit.LayoutModule = {};
PlotKit.LayoutModule.Layout = PlotKit.Layout;
PlotKit.LayoutModule.EXPORT = [
"Layout"
];
PlotKit.LayoutModule.EXPORT_OK = [];
PlotKit.LayoutModule.__new__ = function() {
var m = MochiKit.Base;
m.nameFunctions(this);
this.EXPORT_TAGS = {
":common": this.EXPORT,
":all": m.concat(this.EXPORT, this.EXPORT_OK)
};
};
PlotKit.LayoutModule.__new__();
MochiKit.Base._exportSymbols(this, PlotKit.LayoutModule);