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

101 lines
3.4 KiB
JavaScript

//>>built
define("dojox/charting/plot2d/ClusteredColumns", ["dojo/_base/array", "dojo/_base/declare", "./Columns", "./common",
"dojox/lang/functional", "dojox/lang/functional/reversed", "dojox/lang/utils"],
function(arr, declare, Columns, dc, df, dfr, du){
/*=====
var Columns = dojox.charting.plot2d.Columns;
=====*/
var purgeGroup = dfr.lambda("item.purgeGroup()");
return declare("dojox.charting.plot2d.ClusteredColumns", Columns, {
// summary:
// A plot representing grouped or clustered columns (vertical 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.ClusteredColumns
// 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, width, thickness,
ht = this._hScaler.scaler.getTransformerFromModel(this._hScaler),
vt = this._vScaler.scaler.getTransformerFromModel(this._vScaler),
baseline = Math.max(0, this._vScaler.bounds.lower),
baselineHeight = vt(baseline),
events = this.events();
f = dc.calculateBarSize(this._hScaler.bounds.scale, this.opt, this.series.length);
gap = f.gap;
width = thickness = f.size;
for(var i = 0; i < this.series.length; ++i){
var run = this.series[i], shift = thickness * i;
if(!this.dirty && !run.dirty){
t.skip();
this._reconnectEvents(run.name);
continue;
}
run.cleanGroup();
var theme = t.next("column", [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,
vv = vt(v),
height = vv - baselineHeight,
h = Math.abs(height),
finalTheme = typeof value != "number" ?
t.addMixin(theme, "column", value, true) :
t.post(theme, "column");
if(width >= 1 && h >= 0){
var rect = {
x: offsets.l + ht(j + 0.5) + gap + shift,
y: dim.height - offsets.b - (v > baseline ? vv : baselineHeight),
width: width, height: h
};
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: "column",
index: j,
run: run,
shape: shape,
x: j + 0.5,
y: v
};
this._connectEvents(o);
eventSeries[j] = o;
}
if(this.animate){
this._animateColumn(shape, dim.height - offsets.b - baselineHeight, h);
}
}
}
}
this._eventSeries[run.name] = eventSeries;
run.dirty = false;
}
this.dirty = false;
return this; // dojox.charting.plot2d.ClusteredColumns
}
});
});