//>>built define("dojox/charting/plot2d/common", ["dojo/_base/lang", "dojo/_base/array", "dojo/_base/Color", "dojox/gfx", "dojox/lang/functional", "../scaler/common"], function(lang, arr, Color, g, df, sc){ var common = lang.getObject("dojox.charting.plot2d.common", true); return lang.mixin(common, { doIfLoaded: sc.doIfLoaded, makeStroke: function(stroke){ if(!stroke){ return stroke; } if(typeof stroke == "string" || stroke instanceof Color){ stroke = {color: stroke}; } return g.makeParameters(g.defaultStroke, stroke); }, augmentColor: function(target, color){ var t = new Color(target), c = new Color(color); c.a = t.a; return c; }, augmentStroke: function(stroke, color){ var s = common.makeStroke(stroke); if(s){ s.color = common.augmentColor(s.color, color); } return s; }, augmentFill: function(fill, color){ var fc, c = new Color(color); if(typeof fill == "string" || fill instanceof Color){ return common.augmentColor(fill, color); } return fill; }, defaultStats: { vmin: Number.POSITIVE_INFINITY, vmax: Number.NEGATIVE_INFINITY, hmin: Number.POSITIVE_INFINITY, hmax: Number.NEGATIVE_INFINITY }, collectSimpleStats: function(series){ var stats = lang.delegate(common.defaultStats); for(var i = 0; i < series.length; ++i){ var run = series[i]; for(var j = 0; j < run.data.length; j++){ if(run.data[j] !== null){ if(typeof run.data[j] == "number"){ // 1D case var old_vmin = stats.vmin, old_vmax = stats.vmax; if(!("ymin" in run) || !("ymax" in run)){ arr.forEach(run.data, function(val, i){ if(val !== null){ var x = i + 1, y = val; if(isNaN(y)){ y = 0; } stats.hmin = Math.min(stats.hmin, x); stats.hmax = Math.max(stats.hmax, x); stats.vmin = Math.min(stats.vmin, y); stats.vmax = Math.max(stats.vmax, y); } }); } if("ymin" in run){ stats.vmin = Math.min(old_vmin, run.ymin); } if("ymax" in run){ stats.vmax = Math.max(old_vmax, run.ymax); } }else{ // 2D case var old_hmin = stats.hmin, old_hmax = stats.hmax, old_vmin = stats.vmin, old_vmax = stats.vmax; if(!("xmin" in run) || !("xmax" in run) || !("ymin" in run) || !("ymax" in run)){ arr.forEach(run.data, function(val, i){ if(val !== null){ var x = "x" in val ? val.x : i + 1, y = val.y; if(isNaN(x)){ x = 0; } if(isNaN(y)){ y = 0; } stats.hmin = Math.min(stats.hmin, x); stats.hmax = Math.max(stats.hmax, x); stats.vmin = Math.min(stats.vmin, y); stats.vmax = Math.max(stats.vmax, y); } }); } if("xmin" in run){ stats.hmin = Math.min(old_hmin, run.xmin); } if("xmax" in run){ stats.hmax = Math.max(old_hmax, run.xmax); } if("ymin" in run){ stats.vmin = Math.min(old_vmin, run.ymin); } if("ymax" in run){ stats.vmax = Math.max(old_vmax, run.ymax); } } break; } } } return stats; }, calculateBarSize: function(/* Number */ availableSize, /* Object */ opt, /* Number? */ clusterSize){ if(!clusterSize){ clusterSize = 1; } var gap = opt.gap, size = (availableSize - 2 * gap) / clusterSize; if("minBarSize" in opt){ size = Math.max(size, opt.minBarSize); } if("maxBarSize" in opt){ size = Math.min(size, opt.maxBarSize); } size = Math.max(size, 1); gap = (availableSize - size * clusterSize) / 2; return {size: size, gap: gap}; // Object }, collectStackedStats: function(series){ // collect statistics var stats = lang.clone(common.defaultStats); if(series.length){ // 1st pass: find the maximal length of runs stats.hmin = Math.min(stats.hmin, 1); stats.hmax = df.foldl(series, "seed, run -> Math.max(seed, run.data.length)", stats.hmax); // 2nd pass: stack values for(var i = 0; i < stats.hmax; ++i){ var v = series[0].data[i]; v = v && (typeof v == "number" ? v : v.y); if(isNaN(v)){ v = 0; } stats.vmin = Math.min(stats.vmin, v); for(var j = 1; j < series.length; ++j){ var t = series[j].data[i]; t = t && (typeof t == "number" ? t : t.y); if(isNaN(t)){ t = 0; } v += t; } stats.vmax = Math.max(stats.vmax, v); } } return stats; }, curve: function(/* Number[] */a, /* Number|String */tension){ // FIX for #7235, submitted by Enzo Michelangeli. // Emulates the smoothing algorithms used in a famous, unnamed spreadsheet // program ;) var array = a.slice(0); if(tension == "x") { array[array.length] = arr[0]; // add a last element equal to the first, closing the loop } var p=arr.map(array, function(item, i){ if(i==0){ return "M" + item.x + "," + item.y; } if(!isNaN(tension)) { // use standard Dojo smoothing in tension is numeric var dx=item.x-array[i-1].x, dy=array[i-1].y; return "C"+(item.x-(tension-1)*(dx/tension))+","+dy+" "+(item.x-(dx/tension))+","+item.y+" "+item.x+","+item.y; } else if(tension == "X" || tension == "x" || tension == "S") { // use Excel "line smoothing" algorithm (http://xlrotor.com/resources/files.shtml) var p0, p1 = array[i-1], p2 = array[i], p3; var bz1x, bz1y, bz2x, bz2y; var f = 1/6; if(i==1) { if(tension == "x") { p0 = array[array.length-2]; } else { // "tension == X || tension == "S" p0 = p1; } f = 1/3; } else { p0 = array[i-2]; } if(i==(array.length-1)) { if(tension == "x") { p3 = array[1]; } else { // "tension == X || tension == "S" p3 = p2; } f = 1/3; } else { p3 = array[i+1]; } var p1p2 = Math.sqrt((p2.x-p1.x)*(p2.x-p1.x)+(p2.y-p1.y)*(p2.y-p1.y)); var p0p2 = Math.sqrt((p2.x-p0.x)*(p2.x-p0.x)+(p2.y-p0.y)*(p2.y-p0.y)); var p1p3 = Math.sqrt((p3.x-p1.x)*(p3.x-p1.x)+(p3.y-p1.y)*(p3.y-p1.y)); var p0p2f = p0p2 * f; var p1p3f = p1p3 * f; if(p0p2f > p1p2/2 && p1p3f > p1p2/2) { p0p2f = p1p2/2; p1p3f = p1p2/2; } else if(p0p2f > p1p2/2) { p0p2f = p1p2/2; p1p3f = p1p2/2 * p1p3/p0p2; } else if(p1p3f > p1p2/2) { p1p3f = p1p2/2; p0p2f = p1p2/2 * p0p2/p1p3; } if(tension == "S") { if(p0 == p1) { p0p2f = 0; } if(p2 == p3) { p1p3f = 0; } } bz1x = p1.x + p0p2f*(p2.x - p0.x)/p0p2; bz1y = p1.y + p0p2f*(p2.y - p0.y)/p0p2; bz2x = p2.x - p1p3f*(p3.x - p1.x)/p1p3; bz2y = p2.y - p1p3f*(p3.y - p1.y)/p1p3; } return "C"+(bz1x+","+bz1y+" "+bz2x+","+bz2y+" "+p2.x+","+p2.y); }); return p.join(" "); }, getLabel: function(/*Number*/number, /*Boolean*/fixed, /*Number*/precision){ return sc.doIfLoaded("dojo/number", function(numberLib){ return (fixed ? numberLib.format(number, {places : precision}) : numberLib.format(number)) || ""; }, function(){ return fixed ? number.toFixed(precision) : number.toString(); }); } }); });