*/
var CustomBarsTestCase = TestCase("custom-bars");
+var _origFunc = Dygraph.getContext;
CustomBarsTestCase.prototype.setUp = function() {
document.body.innerHTML = "<div id='graph'></div>";
+ Dygraph.getContext = function(canvas) {
+ return new Proxy(_origFunc(canvas));
+ }
};
CustomBarsTestCase.prototype.tearDown = function() {
+ Dygraph.getContext = _origFunc;
};
// This test used to reliably produce an infinite loop.
var sampler = new PixelSampler(g);
assertEquals([0, 255, 0, 38], sampler.colorAtCoordinate(5, 60));
};
+
+// Tests that custom bars work with log scale.
+CustomBarsTestCase.prototype.testCustomBarsLogScale = function() {
+ var g = new Dygraph(document.getElementById("graph"),
+ [
+ [1, [10, 10, 100]],
+ [5, [15,120, 80]],
+ [9, [10, 50, 100]]
+ ], {
+ width: 500, height: 350,
+ customBars: true,
+ errorBars: true,
+ valueRange: [1, 120],
+ drawXGrid: false,
+ drawYGrid: false,
+ drawXAxis: false,
+ drawYAxis: false,
+ fillAlpha: 1.0,
+ logscale: true,
+ colors: [ '#00FF00' ]
+ });
+
+ // The following assertions describe the sides of the custom bars, which are
+ // drawn in two halves.
+ CanvasAssertions.assertConsecutiveLinesDrawn(
+ g.hidden_ctx_,
+ [[0, 13.329014086362069],
+ [247.5, 29.64240889852502],
+ [247.5, 152.02209814465604],
+ [0, 181.66450704318103]],
+ { fillStyle: "#00ff00" });
+
+ CanvasAssertions.assertConsecutiveLinesDrawn(
+ g.hidden_ctx_,
+ [[247.5, 29.64240889852502],
+ [495, 13.329014086362069],
+ [495, 181.66450704318103],
+ [247.5, 152.02209814465604]],
+ { fillStyle: "#00ff00" });
+};
}
};
-DygraphLayout._calcYNormal = function(axis, value) {
- if (axis.logscale) {
+DygraphLayout._calcYNormal = function(axis, value, logscale) {
+ if (logscale) {
return 1.0 - ((Dygraph.log10(value) - Dygraph.log10(axis.minyval)) * axis.ylogscale);
} else {
return 1.0 - ((value - axis.minyval) * axis.yscale);
var dataset = this.datasets[setIdx];
var setName = this.setNames[setIdx];
var axis = this.dygraph_.axisPropertiesForSeries(setName);
+ // TODO (konigsberg): use optionsForAxis instead.
+ var logscale = this.dygraph_.attributes_.getForSeries("logscale", setIdx);
// Preallocating the size of points reduces reallocations, and therefore,
// calls to collect garbage.
// Range from 0-1 where 0 represents left and 1 represents right.
var xNormal = (xValue - this.minxval) * this.xscale;
// Range from 0-1 where 0 represents top and 1 represents bottom
- var yNormal = DygraphLayout._calcYNormal(axis, yValue);
+ var yNormal = DygraphLayout._calcYNormal(axis, yValue, logscale);
// TODO(danvk): drop the point in this case, don't null it.
// The nulls create complexity in DygraphCanvasRenderer._drawSeries.
var dataset = this.datasets[setIdx];
var setName = this.setNames[setIdx];
var axis = this.dygraph_.axisPropertiesForSeries(setName);
+ // TODO (konigsberg): use optionsForAxis instead.
+ var logscale = this.dygraph_.attributes_.getForSeries("logscale", setIdx);
+
for (j = 0; j < dataset.length; j++, i++) {
var item = dataset[j];
var xv = DygraphLayout.parseFloat_(item[0]);
var yv_minus = yv - errorMinus;
var yv_plus = yv + errorPlus;
- points[j].y_top = DygraphLayout._calcYNormal(axis, yv_minus);
- points[j].y_bottom = DygraphLayout._calcYNormal(axis, yv_plus);
+ points[j].y_top = DygraphLayout._calcYNormal(axis, yv_minus, logscale);
+ points[j].y_bottom = DygraphLayout._calcYNormal(axis, yv_plus, logscale);
}
}
}