/*
Copyright (c) 2004-2011, The Dojo Foundation All Rights Reserved.
Available via Academic Free License >= 2.1 OR the modified BSD license.
see: http://dojotoolkit.org/license for details
*/
if(!dojo._hasResource["dojox.charting.plot2d.Stacked"]){ //_hasResource checks added by build. Do not use _hasResource directly in your code.
dojo._hasResource["dojox.charting.plot2d.Stacked"] = true;
dojo.provide("dojox.charting.plot2d.Stacked");
dojo.require("dojox.charting.plot2d.common");
dojo.require("dojox.charting.plot2d.Default");
dojo.require("dojox.lang.functional");
dojo.require("dojox.lang.functional.sequence");
dojo.require("dojox.lang.functional.reversed");
(function(){
var df = dojox.lang.functional, dc = dojox.charting.plot2d.common,
purgeGroup = df.lambda("item.purgeGroup()");
dojo.declare("dojox.charting.plot2d.Stacked", dojox.charting.plot2d.Default, {
// summary:
// Like the default plot, Stacked sets up lines, areas and markers
// in a stacked fashion (values on the y axis added to each other)
// as opposed to a direct one.
getSeriesStats: function(){
// summary:
// Calculate the min/max on all attached series in both directions.
// returns: Object
// {hmin, hmax, vmin, vmax} min/max in both directions.
var stats = dc.collectStackedStats(this.series);
this._maxRunLength = stats.hmax;
return stats;
},
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.Stacked
// A reference to this plot for functional chaining.
if(this._maxRunLength <= 0){
return this;
}
// stack all values
var acc = df.repeat(this._maxRunLength, "-> 0", 0);
for(var i = 0; i < this.series.length; ++i){
var run = this.series[i];
for(var j = 0; j < run.data.length; ++j){
var v = run.data[j];
if(v !== null){
if(isNaN(v)){ v = 0; }
acc[j] += v;
}
}
}
// draw runs in backwards
if(this.zoom && !this.isDataDirty()){
return this.performZoom(dim, offsets);
}
this.resetEvents();
this.dirty = this.isDirty();
if(this.dirty){
dojo.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, events = this.events(),
ht = this._hScaler.scaler.getTransformerFromModel(this._hScaler),
vt = this._vScaler.scaler.getTransformerFromModel(this._vScaler);
for(var i = this.series.length - 1; i >= 0; --i){
var run = this.series[i];
if(!this.dirty && !run.dirty){
t.skip();
this._reconnectEvents(run.name);
continue;
}
run.cleanGroup();
var theme = t.next(this.opt.areas ? "area" : "line", [this.opt, run], true),
s = run.group, outline,
lpoly = dojo.map(acc, function(v, i){
return {
x: ht(i + 1) + offsets.l,
y: dim.height - offsets.b - vt(v)
};
}, this);
var lpath = this.opt.tension ? dc.curve(lpoly, this.opt.tension) : "";
if(this.opt.areas){
var apoly = dojo.clone(lpoly);
if(this.opt.tension){
var p=dc.curve(apoly, this.opt.tension);
p += " L" + lpoly[lpoly.length - 1].x + "," + (dim.height - offsets.b) +
" L" + lpoly[0].x + "," + (dim.height - offsets.b) +
" L" + lpoly[0].x + "," + lpoly[0].y;
run.dyn.fill = s.createPath(p).setFill(theme.series.fill).getFill();
} else {
apoly.push({x: lpoly[lpoly.length - 1].x, y: dim.height - offsets.b});
apoly.push({x: lpoly[0].x, y: dim.height - offsets.b});
apoly.push(lpoly[0]);
run.dyn.fill = s.createPolyline(apoly).setFill(theme.series.fill).getFill();
}
}
if(this.opt.lines || this.opt.markers){
if(theme.series.outline){
outline = dc.makeStroke(theme.series.outline);
outline.width = 2 * outline.width + theme.series.stroke.width;
}
}
if(this.opt.markers){
run.dyn.marker = theme.symbol;
}
var frontMarkers, outlineMarkers, shadowMarkers;
if(theme.series.shadow && theme.series.stroke){
var shadow = theme.series.shadow,
spoly = dojo.map(lpoly, function(c){
return {x: c.x + shadow.dx, y: c.y + shadow.dy};
});
if(this.opt.lines){
if(this.opt.tension){
run.dyn.shadow = s.createPath(dc.curve(spoly, this.opt.tension)).setStroke(shadow).getStroke();
} else {
run.dyn.shadow = s.createPolyline(spoly).setStroke(shadow).getStroke();
}
}
if(this.opt.markers){
shadow = theme.marker.shadow;
shadowMarkers = dojo.map(spoly, function(c){
return s.createPath("M" + c.x + " " + c.y + " " + theme.symbol).
setStroke(shadow).setFill(shadow.color);
}, this);
}
}
if(this.opt.lines){
if(outline){
if(this.opt.tension){
run.dyn.outline = s.createPath(lpath).setStroke(outline).getStroke();
} else {
run.dyn.outline = s.createPolyline(lpoly).setStroke(outline).getStroke();
}
}
if(this.opt.tension){
run.dyn.stroke = s.createPath(lpath).setStroke(theme.series.stroke).getStroke();
} else {
run.dyn.stroke = s.createPolyline(lpoly).setStroke(theme.series.stroke).getStroke();
}
}
if(this.opt.markers){
frontMarkers = new Array(lpoly.length);
outlineMarkers = new Array(lpoly.length);
outline = null;
if(theme.marker.outline){
outline = dc.makeStroke(theme.marker.outline);
outline.width = 2 * outline.width + (theme.marker.stroke ? theme.marker.stroke.width : 0);
}
dojo.forEach(lpoly, function(c, i){
var path = "M" + c.x + " " + c.y + " " + theme.symbol;
if(outline){
outlineMarkers[i] = s.createPath(path).setStroke(outline);
}
frontMarkers[i] = s.createPath(path).setStroke(theme.marker.stroke).setFill(theme.marker.fill);
}, this);
if(events){
var eventSeries = new Array(frontMarkers.length);
dojo.forEach(frontMarkers, function(s, i){
var o = {
element: "marker",
index: i,
run: run,
shape: s,
outline: outlineMarkers[i] || null,
shadow: shadowMarkers && shadowMarkers[i] || null,
cx: lpoly[i].x,
cy: lpoly[i].y,
x: i + 1,
y: run.data[i]
};
this._connectEvents(o);
eventSeries[i] = o;
}, this);
this._eventSeries[run.name] = eventSeries;
}else{
delete this._eventSeries[run.name];
}
}
run.dirty = false;
// update the accumulator
for(var j = 0; j < run.data.length; ++j){
var v = run.data[j];
if(v !== null){
if(isNaN(v)){ v = 0; }
acc[j] -= v;
}
}
}
this.dirty = false;
return this; // dojox.charting.plot2d.Stacked
}
});
})();
}