[483] | 1 | define(["dojo/_base/lang", "dojo/_base/array", "dojo/_base/Color", |
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| 2 | "dojox/gfx", "dojox/lang/functional", "../scaler/common"], |
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| 3 | function(lang, arr, Color, g, df, sc){ |
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| 4 | |
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| 5 | var common = lang.getObject("dojox.charting.plot2d.common", true); |
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| 6 | |
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| 7 | return lang.mixin(common, { |
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| 8 | doIfLoaded: sc.doIfLoaded, |
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| 9 | makeStroke: function(stroke){ |
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| 10 | if(!stroke){ return stroke; } |
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| 11 | if(typeof stroke == "string" || stroke instanceof Color){ |
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| 12 | stroke = {color: stroke}; |
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| 13 | } |
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| 14 | return g.makeParameters(g.defaultStroke, stroke); |
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| 15 | }, |
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| 16 | augmentColor: function(target, color){ |
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| 17 | var t = new Color(target), |
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| 18 | c = new Color(color); |
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| 19 | c.a = t.a; |
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| 20 | return c; |
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| 21 | }, |
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| 22 | augmentStroke: function(stroke, color){ |
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| 23 | var s = common.makeStroke(stroke); |
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| 24 | if(s){ |
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| 25 | s.color = common.augmentColor(s.color, color); |
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| 26 | } |
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| 27 | return s; |
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| 28 | }, |
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| 29 | augmentFill: function(fill, color){ |
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| 30 | var fc, c = new Color(color); |
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| 31 | if(typeof fill == "string" || fill instanceof Color){ |
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| 32 | return common.augmentColor(fill, color); |
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| 33 | } |
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| 34 | return fill; |
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| 35 | }, |
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| 36 | |
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| 37 | defaultStats: { |
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| 38 | vmin: Number.POSITIVE_INFINITY, vmax: Number.NEGATIVE_INFINITY, |
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| 39 | hmin: Number.POSITIVE_INFINITY, hmax: Number.NEGATIVE_INFINITY |
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| 40 | }, |
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| 41 | |
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| 42 | collectSimpleStats: function(series){ |
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| 43 | var stats = lang.delegate(common.defaultStats); |
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| 44 | for(var i = 0; i < series.length; ++i){ |
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| 45 | var run = series[i]; |
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| 46 | for(var j = 0; j < run.data.length; j++){ |
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| 47 | if(run.data[j] !== null){ |
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| 48 | if(typeof run.data[j] == "number"){ |
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| 49 | // 1D case |
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| 50 | var old_vmin = stats.vmin, old_vmax = stats.vmax; |
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| 51 | if(!("ymin" in run) || !("ymax" in run)){ |
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| 52 | arr.forEach(run.data, function(val, i){ |
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| 53 | if(val !== null){ |
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| 54 | var x = i + 1, y = val; |
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| 55 | if(isNaN(y)){ y = 0; } |
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| 56 | stats.hmin = Math.min(stats.hmin, x); |
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| 57 | stats.hmax = Math.max(stats.hmax, x); |
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| 58 | stats.vmin = Math.min(stats.vmin, y); |
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| 59 | stats.vmax = Math.max(stats.vmax, y); |
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| 60 | } |
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| 61 | }); |
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| 62 | } |
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| 63 | if("ymin" in run){ stats.vmin = Math.min(old_vmin, run.ymin); } |
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| 64 | if("ymax" in run){ stats.vmax = Math.max(old_vmax, run.ymax); } |
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| 65 | }else{ |
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| 66 | // 2D case |
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| 67 | var old_hmin = stats.hmin, old_hmax = stats.hmax, |
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| 68 | old_vmin = stats.vmin, old_vmax = stats.vmax; |
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| 69 | if(!("xmin" in run) || !("xmax" in run) || !("ymin" in run) || !("ymax" in run)){ |
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| 70 | arr.forEach(run.data, function(val, i){ |
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| 71 | if(val !== null){ |
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| 72 | var x = "x" in val ? val.x : i + 1, y = val.y; |
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| 73 | if(isNaN(x)){ x = 0; } |
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| 74 | if(isNaN(y)){ y = 0; } |
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| 75 | stats.hmin = Math.min(stats.hmin, x); |
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| 76 | stats.hmax = Math.max(stats.hmax, x); |
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| 77 | stats.vmin = Math.min(stats.vmin, y); |
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| 78 | stats.vmax = Math.max(stats.vmax, y); |
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| 79 | } |
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| 80 | }); |
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| 81 | } |
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| 82 | if("xmin" in run){ stats.hmin = Math.min(old_hmin, run.xmin); } |
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| 83 | if("xmax" in run){ stats.hmax = Math.max(old_hmax, run.xmax); } |
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| 84 | if("ymin" in run){ stats.vmin = Math.min(old_vmin, run.ymin); } |
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| 85 | if("ymax" in run){ stats.vmax = Math.max(old_vmax, run.ymax); } |
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| 86 | } |
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| 87 | |
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| 88 | break; |
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| 89 | } |
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| 90 | } |
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| 91 | } |
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| 92 | return stats; |
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| 93 | }, |
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| 94 | |
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| 95 | calculateBarSize: function(/* Number */ availableSize, /* Object */ opt, /* Number? */ clusterSize){ |
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| 96 | if(!clusterSize){ |
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| 97 | clusterSize = 1; |
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| 98 | } |
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| 99 | var gap = opt.gap, size = (availableSize - 2 * gap) / clusterSize; |
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| 100 | if("minBarSize" in opt){ |
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| 101 | size = Math.max(size, opt.minBarSize); |
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| 102 | } |
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| 103 | if("maxBarSize" in opt){ |
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| 104 | size = Math.min(size, opt.maxBarSize); |
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| 105 | } |
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| 106 | size = Math.max(size, 1); |
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| 107 | gap = (availableSize - size * clusterSize) / 2; |
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| 108 | return {size: size, gap: gap}; // Object |
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| 109 | }, |
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| 110 | |
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| 111 | collectStackedStats: function(series){ |
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| 112 | // collect statistics |
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| 113 | var stats = lang.clone(common.defaultStats); |
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| 114 | if(series.length){ |
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| 115 | // 1st pass: find the maximal length of runs |
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| 116 | stats.hmin = Math.min(stats.hmin, 1); |
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| 117 | stats.hmax = df.foldl(series, "seed, run -> Math.max(seed, run.data.length)", stats.hmax); |
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| 118 | // 2nd pass: stack values |
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| 119 | for(var i = 0; i < stats.hmax; ++i){ |
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| 120 | var v = series[0].data[i]; |
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| 121 | v = v && (typeof v == "number" ? v : v.y); |
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| 122 | if(isNaN(v)){ v = 0; } |
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| 123 | stats.vmin = Math.min(stats.vmin, v); |
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| 124 | for(var j = 1; j < series.length; ++j){ |
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| 125 | var t = series[j].data[i]; |
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| 126 | t = t && (typeof t == "number" ? t : t.y); |
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| 127 | if(isNaN(t)){ t = 0; } |
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| 128 | v += t; |
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| 129 | } |
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| 130 | stats.vmax = Math.max(stats.vmax, v); |
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| 131 | } |
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| 132 | } |
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| 133 | return stats; |
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| 134 | }, |
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| 135 | |
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| 136 | curve: function(/* Number[] */a, /* Number|String */tension){ |
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| 137 | // FIX for #7235, submitted by Enzo Michelangeli. |
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| 138 | // Emulates the smoothing algorithms used in a famous, unnamed spreadsheet |
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| 139 | // program ;) |
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| 140 | var array = a.slice(0); |
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| 141 | if(tension == "x") { |
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| 142 | array[array.length] = array[0]; // add a last element equal to the first, closing the loop |
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| 143 | } |
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| 144 | var p=arr.map(array, function(item, i){ |
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| 145 | if(i==0){ return "M" + item.x + "," + item.y; } |
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| 146 | if(!isNaN(tension)) { // use standard Dojo smoothing in tension is numeric |
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| 147 | var dx=item.x-array[i-1].x, dy=array[i-1].y; |
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| 148 | return "C"+(item.x-(tension-1)*(dx/tension))+","+dy+" "+(item.x-(dx/tension))+","+item.y+" "+item.x+","+item.y; |
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| 149 | } else if(tension == "X" || tension == "x" || tension == "S") { |
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| 150 | // use Excel "line smoothing" algorithm (http://xlrotor.com/resources/files.shtml) |
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| 151 | var p0, p1 = array[i-1], p2 = array[i], p3; |
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| 152 | var bz1x, bz1y, bz2x, bz2y; |
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| 153 | var f = 1/6; |
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| 154 | if(i==1) { |
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| 155 | if(tension == "x") { |
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| 156 | p0 = array[array.length-2]; |
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| 157 | } else { // "tension == X || tension == "S" |
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| 158 | p0 = p1; |
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| 159 | } |
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| 160 | f = 1/3; |
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| 161 | } else { |
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| 162 | p0 = array[i-2]; |
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| 163 | } |
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| 164 | if(i==(array.length-1)) { |
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| 165 | if(tension == "x") { |
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| 166 | p3 = array[1]; |
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| 167 | } else { // "tension == X || tension == "S" |
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| 168 | p3 = p2; |
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| 169 | } |
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| 170 | f = 1/3; |
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| 171 | } else { |
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| 172 | p3 = array[i+1]; |
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| 173 | } |
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| 174 | var p1p2 = Math.sqrt((p2.x-p1.x)*(p2.x-p1.x)+(p2.y-p1.y)*(p2.y-p1.y)); |
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| 175 | var p0p2 = Math.sqrt((p2.x-p0.x)*(p2.x-p0.x)+(p2.y-p0.y)*(p2.y-p0.y)); |
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| 176 | var p1p3 = Math.sqrt((p3.x-p1.x)*(p3.x-p1.x)+(p3.y-p1.y)*(p3.y-p1.y)); |
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| 177 | |
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| 178 | var p0p2f = p0p2 * f; |
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| 179 | var p1p3f = p1p3 * f; |
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| 180 | |
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| 181 | if(p0p2f > p1p2/2 && p1p3f > p1p2/2) { |
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| 182 | p0p2f = p1p2/2; |
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| 183 | p1p3f = p1p2/2; |
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| 184 | } else if(p0p2f > p1p2/2) { |
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| 185 | p0p2f = p1p2/2; |
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| 186 | p1p3f = p1p2/2 * p1p3/p0p2; |
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| 187 | } else if(p1p3f > p1p2/2) { |
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| 188 | p1p3f = p1p2/2; |
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| 189 | p0p2f = p1p2/2 * p0p2/p1p3; |
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| 190 | } |
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| 191 | |
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| 192 | if(tension == "S") { |
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| 193 | if(p0 == p1) { p0p2f = 0; } |
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| 194 | if(p2 == p3) { p1p3f = 0; } |
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| 195 | } |
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| 196 | |
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| 197 | bz1x = p1.x + p0p2f*(p2.x - p0.x)/p0p2; |
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| 198 | bz1y = p1.y + p0p2f*(p2.y - p0.y)/p0p2; |
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| 199 | bz2x = p2.x - p1p3f*(p3.x - p1.x)/p1p3; |
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| 200 | bz2y = p2.y - p1p3f*(p3.y - p1.y)/p1p3; |
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| 201 | } |
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| 202 | return "C"+(bz1x+","+bz1y+" "+bz2x+","+bz2y+" "+p2.x+","+p2.y); |
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| 203 | }); |
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| 204 | return p.join(" "); |
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| 205 | }, |
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| 206 | |
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| 207 | getLabel: function(/*Number*/number, /*Boolean*/fixed, /*Number*/precision){ |
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| 208 | return sc.doIfLoaded("dojo/number", function(numberLib){ |
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| 209 | return (fixed ? numberLib.format(number, {places : precision}) : |
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| 210 | numberLib.format(number)) || ""; |
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| 211 | }, function(){ |
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| 212 | return fixed ? number.toFixed(precision) : number.toString(); |
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| 213 | }); |
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| 214 | } |
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| 215 | }); |
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| 216 | }); |
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