webui-aria2/js/libs/dojox/charting/plot2d/ClusteredBars.js.uncompressed.js
2012-05-01 19:52:07 +08:00

101 lines
3.4 KiB
JavaScript

//>>built
define("dojox/charting/plot2d/ClusteredBars", ["dojo/_base/lang", "dojo/_base/array", "dojo/_base/declare", "./Bars", "./common",
"dojox/lang/functional", "dojox/lang/functional/reversed", "dojox/lang/utils"],
function(lang, arr, declare, Bars, dc, df, dfr, du){
/*=====
var Bars = dojox.charting.plot2d.Bars;
=====*/
var purgeGroup = dfr.lambda("item.purgeGroup()");
return declare("dojox.charting.plot2d.ClusteredBars", Bars, {
// summary:
// A plot representing grouped or clustered bars (horizontal bars)
render: function(dim, offsets){
// summary:
// Run the calculations for any axes for this plot.
// dim: Object
// An object in the form of { width, height }
// offsets: Object
// An object of the form { l, r, t, b}.
// returns: dojox.charting.plot2d.ClusteredBars
// A reference to this plot for functional chaining.
if(this.zoom && !this.isDataDirty()){
return this.performZoom(dim, offsets);
}
this.resetEvents();
this.dirty = this.isDirty();
if(this.dirty){
arr.forEach(this.series, purgeGroup);
this._eventSeries = {};
this.cleanGroup();
var s = this.group;
df.forEachRev(this.series, function(item){ item.cleanGroup(s); });
}
var t = this.chart.theme, f, gap, height, thickness,
ht = this._hScaler.scaler.getTransformerFromModel(this._hScaler),
vt = this._vScaler.scaler.getTransformerFromModel(this._vScaler),
baseline = Math.max(0, this._hScaler.bounds.lower),
baselineWidth = ht(baseline),
events = this.events();
f = dc.calculateBarSize(this._vScaler.bounds.scale, this.opt, this.series.length);
gap = f.gap;
height = thickness = f.size;
for(var i = this.series.length - 1; i >= 0; --i){
var run = this.series[i], shift = thickness * (this.series.length - i - 1);
if(!this.dirty && !run.dirty){
t.skip();
this._reconnectEvents(run.name);
continue;
}
run.cleanGroup();
var theme = t.next("bar", [this.opt, run]), s = run.group,
eventSeries = new Array(run.data.length);
for(var j = 0; j < run.data.length; ++j){
var value = run.data[j];
if(value !== null){
var v = typeof value == "number" ? value : value.y,
hv = ht(v),
width = hv - baselineWidth,
w = Math.abs(width),
finalTheme = typeof value != "number" ?
t.addMixin(theme, "bar", value, true) :
t.post(theme, "bar");
if(w >= 0 && height >= 1){
var rect = {
x: offsets.l + (v < baseline ? hv : baselineWidth),
y: dim.height - offsets.b - vt(j + 1.5) + gap + shift,
width: w, height: height
};
var specialFill = this._plotFill(finalTheme.series.fill, dim, offsets);
specialFill = this._shapeFill(specialFill, rect);
var shape = s.createRect(rect).setFill(specialFill).setStroke(finalTheme.series.stroke);
run.dyn.fill = shape.getFill();
run.dyn.stroke = shape.getStroke();
if(events){
var o = {
element: "bar",
index: j,
run: run,
shape: shape,
x: v,
y: j + 1.5
};
this._connectEvents(o);
eventSeries[j] = o;
}
if(this.animate){
this._animateBar(shape, offsets.l + baselineWidth, -width);
}
}
}
}
this._eventSeries[run.name] = eventSeries;
run.dirty = false;
}
this.dirty = false;
return this; // dojox.charting.plot2d.ClusteredBars
}
});
});