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304 lines
9.8 KiB
304 lines
9.8 KiB
define(["dojo/_base/lang", "dojo/_base/array", "dojo/_base/declare", "dojo/has", "./CartesianBase", "./_PlotEvents", "./common", |
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"dojox/lang/functional", "dojox/lang/utils", "dojox/gfx/fx"], |
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function(lang, arr, declare, has, CartesianBase, _PlotEvents, dc, df, du, fx){ |
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var alwaysFalse = function(){ return false; }; |
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return declare("dojox.charting.plot2d.Columns", [CartesianBase, _PlotEvents], { |
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// summary: |
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// The plot object representing a column chart (vertical bars). |
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defaultParams: { |
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gap: 0, // gap between columns in pixels |
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animate: null, // animate bars into place |
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enableCache: false |
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}, |
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optionalParams: { |
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minBarSize: 1, // minimal column width in pixels |
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maxBarSize: 1, // maximal column width in pixels |
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// theme component |
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stroke: {}, |
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outline: {}, |
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shadow: {}, |
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fill: {}, |
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filter: {}, |
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styleFunc: null, |
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font: "", |
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fontColor: "" |
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}, |
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constructor: function(chart, kwArgs){ |
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// summary: |
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// The constructor for a columns chart. |
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// chart: dojox/charting/Chart |
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// The chart this plot belongs to. |
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// kwArgs: dojox.charting.plot2d.__BarCtorArgs? |
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// An optional keyword arguments object to help define the plot. |
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this.opt = lang.clone(lang.mixin(this.opt, this.defaultParams)); |
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du.updateWithObject(this.opt, kwArgs); |
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du.updateWithPattern(this.opt, kwArgs, this.optionalParams); |
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this.animate = this.opt.animate; |
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this.renderingOptions = { "shape-rendering": "crispEdges" }; |
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}, |
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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.collectSimpleStats(this.series, lang.hitch(this, "isNullValue")); |
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stats.hmin -= 0.5; |
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stats.hmax += 0.5; |
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return stats; // Object |
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}, |
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createRect: function(run, creator, params){ |
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var rect; |
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if(this.opt.enableCache && run._rectFreePool.length > 0){ |
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rect = run._rectFreePool.pop(); |
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rect.setShape(params); |
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// was cleared, add it back |
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creator.add(rect); |
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}else{ |
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rect = creator.createRect(params); |
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} |
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if(this.opt.enableCache){ |
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run._rectUsePool.push(rect); |
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} |
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return rect; |
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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/Columns |
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// A reference to this plot for functional chaining. |
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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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var s; |
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if(this.dirty){ |
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arr.forEach(this.series, dc.purgeGroup); |
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this._eventSeries = {}; |
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this.cleanGroup(); |
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s = this.getGroup(); |
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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, |
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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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baseline = Math.max(this._vScaler.bounds.lower, |
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this._vAxis ? this._vAxis.naturalBaseline : 0), |
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baselineHeight = vt(baseline), |
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events = this.events(), |
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bar = this.getBarProperties(); |
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var z = 0; // the non-hidden series index |
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// Collect and calculate all values |
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var extractedValues = this.extractValues(this._hScaler); |
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extractedValues = this.rearrangeValues(extractedValues, vt, baselineHeight); |
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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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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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if(this.opt.enableCache){ |
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run._rectFreePool = (run._rectFreePool?run._rectFreePool:[]).concat(run._rectUsePool?run._rectUsePool:[]); |
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run._rectUsePool = []; |
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} |
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var theme = t.next("column", [this.opt, run]), |
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eventSeries = new Array(run.data.length); |
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if(run.hidden){ |
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run.dyn.fill = theme.series.fill; |
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continue; |
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} |
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s = run.group; |
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var indexed = arr.some(run.data, function(item){ |
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return typeof item == "number" || (item && !item.hasOwnProperty("x")); |
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}); |
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// on indexed charts we can easily just interate from the first visible to the last visible |
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// data point to save time |
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var min = indexed?Math.max(0, Math.floor(this._hScaler.bounds.from - 1)):0; |
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var max = indexed?Math.min(run.data.length, Math.ceil(this._hScaler.bounds.to)):run.data.length; |
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for(var j = min; j < max; ++j){ |
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var value = run.data[j]; |
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if(!this.isNullValue(value)){ |
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var val = this.getValue(value, j, i, indexed), |
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vv = vt(val.y), |
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h = extractedValues[i][j], |
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finalTheme, |
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sshape; |
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if(this.opt.styleFunc || typeof value != "number"){ |
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var tMixin = typeof value != "number" ? [value] : []; |
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if(this.opt.styleFunc){ |
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tMixin.push(this.opt.styleFunc(value)); |
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} |
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finalTheme = t.addMixin(theme, "column", tMixin, true); |
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}else{ |
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finalTheme = t.post(theme, "column"); |
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} |
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if(bar.width >= 1){ |
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var rect = { |
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x: offsets.l + ht(val.x + 0.5) + bar.gap + bar.thickness * z, |
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y: dim.height - offsets.b - baselineHeight - Math.max(h, 0), |
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width: bar.width, |
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height: Math.abs(h) |
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}; |
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if(finalTheme.series.shadow){ |
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var srect = lang.clone(rect); |
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srect.x += finalTheme.series.shadow.dx; |
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srect.y += finalTheme.series.shadow.dy; |
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sshape = this.createRect(run, s, srect).setFill(finalTheme.series.shadow.color).setStroke(finalTheme.series.shadow); |
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if(this.animate){ |
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this._animateColumn(sshape, dim.height - offsets.b + baselineHeight, h); |
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} |
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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 = this.createRect(run, s, rect).setFill(specialFill).setStroke(finalTheme.series.stroke); |
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this.overrideShape(shape, {index: j, value: val}); |
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if(shape.setFilter && finalTheme.series.filter){ |
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shape.setFilter(finalTheme.series.filter); |
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} |
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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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shadow: sshape, |
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cx: val.x + 0.5, |
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cy: val.y, |
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x: indexed?j:run.data[j].x, |
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y: indexed?run.data[j]:run.data[j].y |
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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 val.py is here, this means we are stacking and we need to subtract previous |
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// value to get the high in which we will lay out the label |
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if(!isNaN(val.py) && val.py > baseline){ |
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rect.height = h - vt(val.py); |
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} |
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this.createLabel(s, value, rect, finalTheme); |
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if(this.animate){ |
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this._animateColumn(shape, dim.height - offsets.b - baselineHeight, h); |
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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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z++; |
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} |
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this.dirty = false; |
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// chart mirroring starts |
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if(has("dojo-bidi")){ |
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this._checkOrientation(this.group, dim, offsets); |
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} |
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// chart mirroring ends |
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return this; // dojox/charting/plot2d/Columns |
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}, |
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getValue: function(value, j, seriesIndex, indexed){ |
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var y,x; |
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if(indexed){ |
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if(typeof value == "number"){ |
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y = value; |
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}else{ |
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y = value.y; |
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} |
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x = j; |
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}else{ |
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y = value.y; |
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x = value.x - 1; |
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} |
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return { x: x, y: y }; |
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}, |
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extractValues: function(scaler){ |
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var extracted = []; |
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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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continue; |
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} |
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// on indexed charts we can easily just interate from the first visible to the last visible |
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// data point to save time |
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var indexed = arr.some(run.data, function(item){ |
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return typeof item == "number" || (item && !item.hasOwnProperty("x")); |
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}), |
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min = indexed ? Math.max(0, Math.floor(scaler.bounds.from - 1)) : 0, |
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max = indexed ? Math.min(run.data.length, Math.ceil(scaler.bounds.to)) : run.data.length, |
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extractedSet = extracted[i] = []; |
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extractedSet.min = min; |
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extractedSet.max = max; |
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for(var j = min; j < max; ++j){ |
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var value = run.data[j]; |
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extractedSet[j] = this.isNullValue(value) ? 0 : |
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(typeof value == "number" ? value : value.y); |
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} |
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} |
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return extracted; |
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}, |
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rearrangeValues: function(values, transform, baseline){ |
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// transform to pixels |
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for(var i = 0, n = values.length; i < n; ++i){ |
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var extractedSet = values[i]; |
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if(extractedSet){ |
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for(var j = extractedSet.min, k = extractedSet.max; j < k; ++j){ |
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var value = extractedSet[j]; |
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extractedSet[j] = this.isNullValue(value) ? 0 : transform(value) - baseline; |
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} |
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} |
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} |
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return values; |
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}, |
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isNullValue: function(value){ |
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if(value === null || typeof value == "undefined"){ |
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return true; |
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} |
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var h = this._hAxis ? this._hAxis.isNullValue : alwaysFalse, |
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v = this._vAxis ? this._vAxis.isNullValue : alwaysFalse; |
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if(typeof value == "number"){ |
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return v(0.5) || h(value); |
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} |
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return v(isNaN(value.x) ? 0.5 : value.x + 0.5) || value.y === null || h(value.y); |
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}, |
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getBarProperties: function(){ |
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var f = dc.calculateBarSize(this._hScaler.bounds.scale, this.opt); |
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return {gap: f.gap, width: f.size, thickness: 0}; |
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}, |
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_animateColumn: function(shape, voffset, vsize){ |
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if(vsize===0){ |
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vsize = 1; |
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} |
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fx.animateTransform(lang.delegate({ |
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shape: shape, |
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duration: 1200, |
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transform: [ |
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{name: "translate", start: [0, voffset - (voffset/vsize)], end: [0, 0]}, |
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{name: "scale", start: [1, 1/vsize], end: [1, 1]}, |
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{name: "original"} |
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] |
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}, this.animate)).play(); |
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} |
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}); |
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});
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