source: [view]
dojo.provide("dojox.charting.plot2d.common");
dojo.require("dojo.colors");
dojo.require("dojox.gfx");
dojo.require("dojox.lang.functional");
(function(){
var df = dojox.lang.functional, dc = dojox.charting.plot2d.common;
dojo.mixin(dojox.charting.plot2d.common, {
makeStroke: function(stroke){
if(!stroke){ return stroke; }
if(typeof stroke == "string" || stroke instanceof dojo.Color){
stroke = {color: stroke};
}
return dojox.gfx.makeParameters(dojox.gfx.defaultStroke, stroke);
},
augmentColor: function(target, color){
var t = new dojo.Color(target),
c = new dojo.Color(color);
c.a = t.a;
return c;
},
augmentStroke: function(stroke, color){
var s = dc.makeStroke(stroke);
if(s){
s.color = dc.augmentColor(s.color, color);
}
return s;
},
augmentFill: function(fill, color){
var fc, c = new dojo.Color(color);
if(typeof fill == "string" || fill instanceof dojo.Color){
return dc.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 = dojo.delegate(dc.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)){
dojo.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)){
dojo.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 = dojo.clone(dc.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 arr = a.slice(0);
if(tension == "x") {
arr[arr.length] = arr[0]; // add a last element equal to the first, closing the loop
}
var p=dojo.map(arr, 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-arr[i-1].x, dy=arr[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 = arr[i-1], p2 = arr[i], p3;
var bz1x, bz1y, bz2x, bz2y;
var f = 1/6;
if(i==1) {
if(tension == "x") {
p0 = arr[arr.length-2];
} else { // "tension == X || tension == "S"
p0 = p1;
}
f = 1/3;
} else {
p0 = arr[i-2];
}
if(i==(arr.length-1)) {
if(tension == "x") {
p3 = arr[1];
} else { // "tension == X || tension == "S"
p3 = p2;
}
f = 1/3;
} else {
p3 = arr[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(" ");