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File: public/flat-admin/js/plugins/flot/jquery.flot.JUMlib.js
Role: Auxiliary data
Content type: text/plain
Description: Auxiliary data
Class: Budget System
Elaborate budgets for purchases of products
Author: By
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Date: 15 days ago
Size: 18,346 bytes
 

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/* * The MIT License Copyright (c) 2012, 2013 by Juergen Marsch Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. */ (function ($) { "use strict"; function between(v,limit1,limit2){ if(limit2 > limit1){ return (v >= limit1 && v <= limit2); } else{ return(v >=limit2 && v <= limit1); } } function getMinMax(data){ var mn,mx,df; mn = Number.POSITIVE_INFINITY; mx = Number.NEGATIVE_INFINITY; for(var i = 0; i < data.length; i++){ mn = Math.min(mn, data[i][1]); mx = Math.max(mx, data[i][1]); } df = mx - mn; return {min: mn, max: mx, diff: df}; } function showHover(event,pos,item,showAlways,createText){ var txt; if (item) { var data = item.series.data[item.dataIndex]; if(createText){ txt = createText(data);} else { txt = "X:" + data[0] + "<br>Y:" + data[1]; if(data.length > 2) { for(var i = 2; i < data.length; i++){ txt += "<br>" + data[i]; } } } showTooltip(pos.pageX, pos.pageY,txt); } else { if(showAlways === true){ txt = pos.x1 + " / " + pos.y1; showTooltip(pos.pageX,pos.pageY,txt); } else {$("#FLOTtooltip").remove();} } } function showTooltip(x, y, contents){ $("#FLOTtooltip").remove(); $('<div id="FLOTtooltip">' + contents + '</div>').css( { position: 'absolute',display: 'none',top: y + 5,left: x + 5, border: '1px solid #fdd',padding: '2px','background-color': '#fee',opacity: 0.80 }).appendTo("body").fadeIn(200); } function createQuartile(data, index, indexName){ var q0 = [], q1 = [],q2 = [],q3 = [],q4 = [], v = [], i1, i2, i3, i4, p; i1 = (0.25 * data.length).toFixed(0); i2 = (0.5 * data.length).toFixed(0); i3 = (0.75 * data.length).toFixed(0); i4 = data.length - 1; for (var j = 0; j < data[0].length; j++){ p = []; for (var i = 0; i < data.length; i++) { p.push(data[i][j]); } p.sort(function(a,b){return a - b;} ); q1.push([j,p[i1]]); q2.push([j,p[i2]]); q3.push([j,p[i3]]); q4.push([j,p[i4]]); q0.push([j,p[0]]); v.push([j,data[index][j]]); } var r = [ { data: q4}, { data: q3}, { data: q2}, { data: q1}, {data: q0, color: "#ffffff" }, {label: indexName, points: {show:true}, lines: { fill: null, steps: false}, data: v}]; return r; } function createPercentile(data, index, indexName, percentiles){ var percentile = [], val = [], indexes = [], p,j,i; if(percentiles.length){ indexes.push([0]); percentile.push([]); for(j = 0;j < percentiles.length;j++){ indexes.push(parseInt(data.length * percentiles[j],0)); percentile.push([]); } indexes.push(data.length - 1); } else{ for(j = 0;j < percentiles; j++){ indexes.push(parseInt(data.length / percentiles * j,0)); percentile.push([]); } indexes.push(data.length - 1); } percentile.push([]); for(j = 0; j < data[0].length; j++){ p = []; for(i = 0; i < data.length; i++){ p.push(data[i][j]); } p.sort(function(a,b){return a-b;}); for(i = 0; i < percentile.length; i++ ) { percentile[i].push([j,p[indexes[i]]]); } val.push([j,data[index][j]]); } var r = []; for(j = percentile.length - 1; j > 0 ; j--){ r.push({ data: percentile[j] });} r.push({data: percentile[0], color:"#ffffff"}); r.push({label: indexName, points: {show: true}, lines: { fill: null, steps: false}, data:val}); return r; } function createSimiliarity(data1, data2, mode){ var r = []; var d1 = normalize(data1); var d2 = normalize(data2); var d; for (var i = 0; i < d1.length; i++){ switch (mode){ case "diff": d = d1[i][1] - d2[i][1]; break; case "abs": d = Math.abs(d1[i][1] - d2[i][1]); break; default: d = 0; } r.push([d1[i][0],d]); } return r; } function createWaterfall(data, colors){ //convert waterfalldata to 4 Bars, d1 for fixed bars, d2 for invisible bar var d1 = [], d2 = [], d3 = [], d4 = [], p = 0, mn = Number.POSITIVE_INFINITY,i; // d3 for negative bars and d4 for positive bars var dx = data; for(i = 0; i < dx.length; i++) { if(dx[i][2]){ if(typeof dx[i][1] === "undefined") { d1.push([i,p]); } else { d1.push([i,dx[i][1]]); p = dx[i][1]; } } else{ if(dx[i][1] > 0) { d4.push([i,- dx[i][1]]);p = p + dx[i][1];d2.push([i,p]);d3.push([i,0]);} else {d3.push([i,- dx[i][1]]);p = p + dx[i][1];d2.push([i,p]);} } mn = Math.min(mn,p); } var ticks = []; for(i = 0; i < data.length; i++){ ticks.push([i,data[i][0]]);} var dr = { data: [ { data: d1, color: colors.fixed }, { data: d2, bars: { show: false }, lines: { show: false } }, { data: d3, color: colors.negative }, { data: d4, color: colors.positive} ], ticks: ticks, yaxismin: mn }; return dr; } function avg(data,range){ var r = [],rd = [],i1,s; for(var i = 0; i < data.length; i++){ if(i < range){ i1 = 0;} else{ i1 = i - range + 1;} rd = []; rd.push(data[i][0]); for(var k = 1; k < data[i].length; k++){ s = 0; for(var j = i1; j <= i; j++){ s += data[j][k];} rd.push(s / (i - i1 + 1)); } r.push(rd); } return r; } function max(data,range){ var r = [], rd = [], i1, mx; for(var i = 0; i < data.length; i++){ if(i < range) {i1 = 0;} else {i1 = i - range + 1;} rd = []; rd.push(data[i][0]); for(var k = 1; k < data[i].length; k++){ mx = - Number.MAX_VALUE; for(var j = i1; j <= i; j++){ if(data[j][k] > mx){ mx = data[j][k]; } } rd.push(mx); } r.push(rd); } return r; } function min(data,range){ var r = [], rd = [], i1, mn; for(var i = 0; i < data.length; i++){ if(i < range){ i1 = 0;} else{ i1 = i - range + 1;} rd = []; rd.push(data[i][0]); for(var k = 1; k < data[i].length; k++){ mn = Number.MAX_VALUE; for(var j = i1; j <= i; j++){ if(data[j][k] < mn){ mn = data[j][k]; } } rd.push(mn); } r.push(rd); } return r; } function sort(data,sortOrder,sortfnc){ var d = []; for(var i = 0; i < data.length; i++){ d.push(data[i]);} if(sortfnc){ d.sort(sortfnc); } else{ if (sortOrder === "a"){ d.sort(mysorta); } else { d.sort(mysortd); } } return d; function mysorta(a,b){ return a[1] - b[1]; } function mysortd(a,b){ return b[1] - a[1]; } } function sortTicks(data,sortOrder,sortfnc){ var d = sort(data,sortOrder,sortfnc); for(var i = 0; i < d.length; i++){d[i][0] = i; } return { data:d, ticks:getTicks(d) }; } function pareto(data,otherLabel,showOthers,topN,topPercent){ var d = [],othersLabel="Others",showothers = true,i,dn = []; d = sort(data,"d"); if(otherLabel.length > 0){ othersLabel = otherLabel;} showothers = showOthers; if(topN){ var s; for(i = 0;i < topN; i++){ dn.push(d[i]); } s = 0; for(i = topN;i < d.length; i++){ s+=d[i][1]; } if(showothers){ dn.push([topN, s,othersLabel]);} d = dn; } else if(topPercent){ var datasum = 0, datar = 0, datao = 0,j; for(i = 0; i < d.length;i++){ datasum += d[i][1];} datasum = datasum * topPercent / 100; for(i = 0; i < d.length; i++){ if (datar < datasum) { dn.push(d[i]); datar += d[i][1]; j = i; } else{ datao += d[i][1]; } } j++; if(showothers){ dn.push([j,datao,othersLabel]);} d = dn; } for(i = 0; i < d.length; i++){d[i][0] = i; } return { data:d, ticks:getTicks(d) }; } function getTicks(d){ var t = []; for(var i = 0; i < d.length; i++){ if(d[i][2]){ t.push([d[i][0], d[i][2]]);} else{ t.push(d[i][0], d[i][0]);} } return t; } function normalize(data){ var minmax, d;var r = []; minmax = getMinMax(data); for(var i = 0; i < data.length; i++){ d = (data[i][1] - minmax.min) / minmax.diff * 100; r.push([data[i][0],d]); } return r; } function combineData(data,ticks){ var r = []; for(var i = 0; i < data.length; i++){ var s = []; for(var j = 0; j < data[i].length; j++){ var d = [ ticks[j], data[i][j] ]; s.push(d); } r.push(s); } return r; } function createFont(placeholder){ var f = { style: placeholder.css("font-style"), size: Math.round(0.8 * (+placeholder.css("font-size").replace("px", "") || 13)), variant: placeholder.css("font-variant"), weight: placeholder.css("font-weight"), family: placeholder.css("font-family") }; return f; } function createColors(options,neededColors){ // this is copied code from jquery.flot.js in fillInSeriesOptions var c, colors = [], colorPool = options.colors, colorPoolSize = colorPool.length, variation = 0; for(var i = 0; i < colorPoolSize; i++){ colors[i] = colorPool[i]; } if(colorPoolSize < neededColors){ for (i = colorPoolSize; i < neededColors; i++) { c = $.color.parse(colorPool[i % colorPoolSize] || "#666"); if (i % colorPoolSize === 0 && i) { if (variation >= 0) { if (variation < 0.5) { variation = -variation - 0.2; } else{ variation = 0;} } else {variation = -variation;} } colors[i] = c.scale('rgb', 1 + variation).toString(); } } return colors; } function getColor(colorData){ //based on a patch from Martin Thorsen Ranang from Nov 2012 var c; if(typeof colorData === "object"){ if(typeof colorData.dataIndex !== "undefined"){ if(typeof colorData.serie.data[colorData.dataIndex].color !== "undefined"){ c = getColorL(colorData.serie.data[colorData.dataIndex].color); } else{ c = colorData.colors[colorData.dataIndex]; } } else{ if(typeof colorData.serieIndex !== "undefined"){ if(typeof colorData.serie.color !== "undefined"){ c = getColorL(colorData.serie.color);} else{ c = colorData.colors[colorData.serieIndex];} } else{ if(typeof colorData.color !== "undefined"){c = getColorL(colorData.color);} else {c = "darkgreen"; } } } } else{ c = getColorL(colorData); } return c; function getColorL(color){ var c; if(typeof color === "object"){ if(typeof color.image !== "undefined"){ c = colorData.ctx.createPattern(color.image,color.repeat); } else{ if(colorData.radius){ c = colorData.ctx.createRadialGradient(colorData.left,colorData.top,0, colorData.left,colorData.top,colorData.radius); } else { c = colorData.ctx.createLinearGradient(0,0,colorData.width,colorData.height);} for(var i = 0; i < color.colors.length; i++){ var cl = color.colors[i]; if(typeof cl !== "string"){ var co = $.color.parse(colorData.defaultColor); if(color.brightness !== null){ cl = co.scale("rgb",color.brightness);} if(color.opacity !== null){ co *= color.opacity;} cl = co.toString(); } c.addColorStop(i / (color.colors.length - 1),cl); } } } else{ if(typeof color === "string"){ c = color; } else { c = colorData.colors[color]; } } return c; } } function loadImages(images,maxWait,callback){ var loadedImg = {},defs = []; for(var i = 0; i < images.length; i++){ defs.push(loadImage(images[i])); } $.when.apply(null,defs).then(function(){callback(loadedImg);}); function loadImage(img){ var dfd = $.Deferred(),t,url; url = img.path + img.name + "." + img.type; t = setInterval(function(){clearInterval(t);dfd.reject();},maxWait); $('<img />').attr('src',url).load(loaded).error(errorFound); return dfd.promise(); function loaded(){ loadedImg[img.name] = this;dfd.resolve();} function errorFound(e,f,g){console.log(url,e); loadedImg[img.name] = null;dfd.reject();} } } function getCanvases(placeholder){ var canvases = { background:$(placeholder).children(".flot-background"), base:$(placeholder).children(".flot-base"), overlay:$(placeholder).children(".flot-overlay") }; return canvases; } function extendEmpty(org,ext){ for(var i in ext){ if(!org[i]){ org[i] = ext[i];} else{ if(typeof ext[i] === "object"){ extendEmpty(org[i],ext[i]); } } } } function drawLines(plot,lines){ var offset,series,ctx; offset = plot.getPlotOffset(); series = plot.getData(); ctx = plot.getCanvas().getContext("2d"); ctx.translate(offset.left,offset.top); for(var i = 0; i < lines.length; i++){ var from = series[lines[i].from.seriesIndex], to = series[lines[i].to.seriesIndex]; var fl = lines[i].from, tl = lines[i].to; if(!fl.dataFieldX){ fl.dataFieldX = 0;} if(!fl.dataFieldY){ fl.dataFieldY = 1;} if(!tl.dataFieldX){ tl.dataFieldX = 0;} if(!tl.dataFieldY){ tl.dataFieldY = 1;} var xf,yf,xt,yt; xf = from.xaxis.p2c(from.data[fl.dataIndex][fl.dataFieldX]); yf = from.yaxis.p2c(from.data[fl.dataIndex][fl.dataFieldY]); xt = from.xaxis.p2c(to.data[tl.dataIndex][tl.dataFieldX]); yt = from.yaxis.p2c(to.data[tl.dataIndex][tl.dataFieldY]); ctx.beginPath(); ctx.strokeStyle = "red"; ctx.lineWidth = 5; ctx.moveTo(xf,yf); ctx.lineTo(xt,yt); ctx.stroke(); } } $.plot.JUMlib = {}; $.plot.JUMlib.library = {}; $.plot.JUMlib.library.between = between; $.plot.JUMlib.library.getMinMax = getMinMax; $.plot.JUMlib.library.showHover = showHover; $.plot.JUMlib.library.showTooltip = showTooltip; $.plot.JUMlib.prepareData = {}; $.plot.JUMlib.prepareData.createQuartile = createQuartile; $.plot.JUMlib.prepareData.createPercentile = createPercentile; $.plot.JUMlib.prepareData.createSimiliarity = createSimiliarity; $.plot.JUMlib.prepareData.createWaterfall = createWaterfall; $.plot.JUMlib.prepareData.avg = avg; $.plot.JUMlib.prepareData.max = max; $.plot.JUMlib.prepareData.min = min; $.plot.JUMlib.prepareData.sort = sort; $.plot.JUMlib.prepareData.sortTicks = sortTicks; $.plot.JUMlib.prepareData.pareto = pareto; $.plot.JUMlib.prepareData.normalize = normalize; $.plot.JUMlib.prepareData.combineData = combineData; $.plot.JUMlib.data = {}; $.plot.JUMlib.data.createFont = createFont; $.plot.JUMlib.data.createColors = createColors; $.plot.JUMlib.data.getColor = getColor; $.plot.JUMlib.data.loadImages = loadImages; $.plot.JUMlib.data.getCanvases = getCanvases; $.plot.JUMlib.data.extendEmpty = extendEmpty; $.plot.JUMlib.drawing = {}; $.plot.JUMlib.drawing.drawLines = drawLines; })(jQuery);