2150 |
mathias |
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if(!dojo._hasResource["dojox.charting.plot2d.common"]){ //_hasResource checks added by build. Do not use _hasResource directly in your code.
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dojo._hasResource["dojox.charting.plot2d.common"] = true;
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dojo.provide("dojox.charting.plot2d.common");
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dojo.require("dojo.colors");
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dojo.require("dojox.gfx");
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dojo.require("dojox.lang.functional");
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(function(){
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var df = dojox.lang.functional, dc = dojox.charting.plot2d.common;
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dojo.mixin(dojox.charting.plot2d.common, {
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makeStroke: function(stroke){
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if(!stroke){ return stroke; }
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if(typeof stroke == "string" || stroke instanceof dojo.Color){
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stroke = {color: stroke};
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}
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return dojox.gfx.makeParameters(dojox.gfx.defaultStroke, stroke);
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},
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augmentColor: function(target, color){
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var t = new dojo.Color(target),
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c = new dojo.Color(color);
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c.a = t.a;
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return c;
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},
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augmentStroke: function(stroke, color){
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var s = dc.makeStroke(stroke);
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if(s){
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s.color = dc.augmentColor(s.color, color);
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}
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return s;
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},
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augmentFill: function(fill, color){
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var fc, c = new dojo.Color(color);
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if(typeof fill == "string" || fill instanceof dojo.Color){
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return dc.augmentColor(fill, color);
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}
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return fill;
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},
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defaultStats: {hmin: Number.POSITIVE_INFINITY, hmax: Number.NEGATIVE_INFINITY,
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vmin: Number.POSITIVE_INFINITY, vmax: Number.NEGATIVE_INFINITY},
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collectSimpleStats: function(series){
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var stats = dojo.clone(dc.defaultStats);
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for(var i = 0; i < series.length; ++i){
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var run = series[i];
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if(!run.data.length){ continue; }
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if(typeof run.data[0] == "number"){
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// 1D case
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var old_vmin = stats.vmin, old_vmax = stats.vmax;
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if(!("ymin" in run) || !("ymax" in run)){
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dojo.forEach(run.data, function(val, i){
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var x = i + 1, y = val;
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if(isNaN(y)){ y = 0; }
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stats.hmin = Math.min(stats.hmin, x);
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stats.hmax = Math.max(stats.hmax, x);
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stats.vmin = Math.min(stats.vmin, y);
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stats.vmax = Math.max(stats.vmax, y);
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});
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}
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if("ymin" in run){ stats.vmin = Math.min(old_vmin, run.ymin); }
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if("ymax" in run){ stats.vmax = Math.max(old_vmax, run.ymax); }
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}else{
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// 2D case
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var old_hmin = stats.hmin, old_hmax = stats.hmax,
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old_vmin = stats.vmin, old_vmax = stats.vmax;
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if(!("xmin" in run) || !("xmax" in run) || !("ymin" in run) || !("ymax" in run)){
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dojo.forEach(run.data, function(val, i){
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var x = val.x, y = val.y;
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if(isNaN(x)){ x = 0; }
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if(isNaN(y)){ y = 0; }
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stats.hmin = Math.min(stats.hmin, x);
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stats.hmax = Math.max(stats.hmax, x);
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stats.vmin = Math.min(stats.vmin, y);
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stats.vmax = Math.max(stats.vmax, y);
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});
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}
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if("xmin" in run){ stats.hmin = Math.min(old_hmin, run.xmin); }
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if("xmax" in run){ stats.hmax = Math.max(old_hmax, run.xmax); }
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if("ymin" in run){ stats.vmin = Math.min(old_vmin, run.ymin); }
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if("ymax" in run){ stats.vmax = Math.max(old_vmax, run.ymax); }
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}
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}
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return stats;
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},
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collectStackedStats: function(series){
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// collect statistics
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var stats = dojo.clone(dc.defaultStats);
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if(series.length){
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// 1st pass: find the maximal length of runs
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stats.hmin = Math.min(stats.hmin, 1);
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stats.hmax = df.foldl(series, "seed, run -> Math.max(seed, run.data.length)", stats.hmax);
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// 2nd pass: stack values
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for(var i = 0; i < stats.hmax; ++i){
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var v = series[0].data[i];
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if(isNaN(v)){ v = 0; }
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stats.vmin = Math.min(stats.vmin, v);
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for(var j = 1; j < series.length; ++j){
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var t = series[j].data[i];
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if(isNaN(t)){ t = 0; }
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v += t;
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}
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stats.vmax = Math.max(stats.vmax, v);
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}
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}
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return stats;
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}
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});
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})();
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}
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