134 lines
4.2 KiB
JavaScript
134 lines
4.2 KiB
JavaScript
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//>>built
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define("dojox/charting/plot2d/StackedColumns", ["dojo/_base/lang", "dojo/_base/array", "dojo/_base/declare", "./Columns", "./common",
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"dojox/lang/functional", "dojox/lang/functional/reversed", "dojox/lang/functional/sequence"],
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function(lang, arr, declare, Columns, dc, df, dfr, dfs){
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var purgeGroup = dfr.lambda("item.purgeGroup()");
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/*=====
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var Columns = dojox.charting.plot2d.Columns;
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=====*/
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return declare("dojox.charting.plot2d.StackedColumns", Columns, {
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// summary:
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// The plot object representing a stacked column chart (vertical bars).
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getSeriesStats: function(){
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// summary:
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// Calculate the min/max on all attached series in both directions.
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// returns: Object
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// {hmin, hmax, vmin, vmax} min/max in both directions.
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var stats = dc.collectStackedStats(this.series);
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this._maxRunLength = stats.hmax;
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stats.hmin -= 0.5;
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stats.hmax += 0.5;
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return stats;
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},
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render: function(dim, offsets){
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// summary:
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// Run the calculations for any axes for this plot.
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// dim: Object
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// An object in the form of { width, height }
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// offsets: Object
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// An object of the form { l, r, t, b}.
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// returns: dojox.charting.plot2d.StackedColumns
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// A reference to this plot for functional chaining.
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if(this._maxRunLength <= 0){
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return this;
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}
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// stack all values
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var acc = df.repeat(this._maxRunLength, "-> 0", 0);
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for(var i = 0; i < this.series.length; ++i){
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var run = this.series[i];
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for(var j = 0; j < run.data.length; ++j){
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var value = run.data[j];
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if(value !== null){
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var v = typeof value == "number" ? value : value.y;
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if(isNaN(v)){ v = 0; }
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acc[j] += v;
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}
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}
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}
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// draw runs in backwards
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if(this.zoom && !this.isDataDirty()){
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return this.performZoom(dim, offsets);
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}
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this.resetEvents();
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this.dirty = this.isDirty();
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if(this.dirty){
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arr.forEach(this.series, purgeGroup);
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this._eventSeries = {};
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this.cleanGroup();
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var s = this.group;
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df.forEachRev(this.series, function(item){ item.cleanGroup(s); });
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}
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var t = this.chart.theme, f, gap, width,
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ht = this._hScaler.scaler.getTransformerFromModel(this._hScaler),
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vt = this._vScaler.scaler.getTransformerFromModel(this._vScaler),
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events = this.events();
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f = dc.calculateBarSize(this._hScaler.bounds.scale, this.opt);
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gap = f.gap;
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width = f.size;
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for(var i = this.series.length - 1; i >= 0; --i){
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var run = this.series[i];
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if(!this.dirty && !run.dirty){
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t.skip();
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this._reconnectEvents(run.name);
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continue;
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}
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run.cleanGroup();
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var theme = t.next("column", [this.opt, run]), s = run.group,
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eventSeries = new Array(acc.length);
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for(var j = 0; j < acc.length; ++j){
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var value = run.data[j];
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if(value !== null){
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var v = acc[j],
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height = vt(v),
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finalTheme = typeof value != "number" ?
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t.addMixin(theme, "column", value, true) :
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t.post(theme, "column");
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if(width >= 1 && height >= 0){
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var rect = {
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x: offsets.l + ht(j + 0.5) + gap,
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y: dim.height - offsets.b - vt(v),
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width: width, height: height
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};
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var specialFill = this._plotFill(finalTheme.series.fill, dim, offsets);
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specialFill = this._shapeFill(specialFill, rect);
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var shape = s.createRect(rect).setFill(specialFill).setStroke(finalTheme.series.stroke);
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run.dyn.fill = shape.getFill();
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run.dyn.stroke = shape.getStroke();
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if(events){
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var o = {
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element: "column",
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index: j,
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run: run,
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shape: shape,
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x: j + 0.5,
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y: v
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};
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this._connectEvents(o);
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eventSeries[j] = o;
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}
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if(this.animate){
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this._animateColumn(shape, dim.height - offsets.b, height);
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}
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}
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}
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}
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this._eventSeries[run.name] = eventSeries;
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run.dirty = false;
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// update the accumulator
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for(var j = 0; j < run.data.length; ++j){
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var value = run.data[j];
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if(value !== null){
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var v = typeof value == "number" ? value : value.y;
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if(isNaN(v)){ v = 0; }
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acc[j] -= v;
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}
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}
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}
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this.dirty = false;
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return this; // dojox.charting.plot2d.StackedColumns
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}
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});
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});
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