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Diffstat (limited to 'js/dojo-1.6/dojox/charting/plot2d/Stacked.xd.js')
| -rw-r--r-- | js/dojo-1.6/dojox/charting/plot2d/Stacked.xd.js | 221 |
1 files changed, 221 insertions, 0 deletions
diff --git a/js/dojo-1.6/dojox/charting/plot2d/Stacked.xd.js b/js/dojo-1.6/dojox/charting/plot2d/Stacked.xd.js new file mode 100644 index 0000000..ebae256 --- /dev/null +++ b/js/dojo-1.6/dojox/charting/plot2d/Stacked.xd.js @@ -0,0 +1,221 @@ +/*
+ 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
+*/
+
+
+dojo._xdResourceLoaded(function(dojo, dijit, dojox){
+return {depends: [["provide", "dojox.charting.plot2d.Stacked"],
+["require", "dojox.charting.plot2d.common"],
+["require", "dojox.charting.plot2d.Default"],
+["require", "dojox.lang.functional"],
+["require", "dojox.lang.functional.sequence"],
+["require", "dojox.lang.functional.reversed"]],
+defineResource: function(dojo, dijit, dojox){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
+ }
+ });
+})();
+
+}
+
+}};});
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