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dimple.js max min issues with multiple series
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| <!doctype HTML> | |
| <meta charset = 'utf-8'> | |
| <html> | |
| <head> | |
| <script src='http://dimplejs.org/dist/dimple.v1.1.4.min.js' type='text/javascript'></script> | |
| <script src='http://d3js.org/d3.v3.js' type='text/javascript'></script> | |
| <style> | |
| .rChart { | |
| display: block; | |
| margin-left: auto; | |
| margin-right: auto; | |
| width: 800px; | |
| height: 400px; | |
| } | |
| </style> | |
| </head> | |
| <body > | |
| <div id = 'chart4dc1859420' class = 'rChart dimple'></div> | |
| <script type="text/javascript"> | |
| var opts = { | |
| "dom": "chart4dc1859420", | |
| "width": 800, | |
| "height": 400, | |
| "xAxis": { | |
| "type": "addCategoryAxis", | |
| "showPercent": false, | |
| "overrideMin": 0, | |
| "overrideMax": 3 | |
| }, | |
| "yAxis": { | |
| "type": "addMeasureAxis", | |
| "showPercent": false, | |
| "outputFormat": ".2f" | |
| }, | |
| "zAxis": [], | |
| "colorAxis": [], | |
| "defaultColors": [], | |
| "layers": [ | |
| { | |
| "x": "yearID", | |
| "y": "SOG", | |
| "data": null, | |
| "facet": null, | |
| "groups": "name", | |
| "type": "bubble" | |
| } | |
| ], | |
| "legend": [], | |
| "x": "yearID", | |
| "y": "SOG", | |
| "type": "line", | |
| "id": "chart4dc1859420" | |
| }, | |
| data = [{"yearID":1871,"name":"Boston Red Stockings","G":31,"SO":19,"SOG":0.61},{"yearID":1871,"name":"Chicago White Stockings","G":28,"SO":22,"SOG":0.79},{"yearID":1871,"name":"Cleveland Forest Citys","G":29,"SO":25,"SOG":0.86},{"yearID":1871,"name":"Fort Wayne Kekiongas","G":19,"SO":9,"SOG":0.47},{"yearID":1871,"name":"New York Mutuals","G":33,"SO":15,"SOG":0.45},{"yearID":1871,"name":"Philadelphia Athletics","G":28,"SO":23,"SOG":0.82},{"yearID":1871,"name":"Rockford Forest Citys","G":25,"SO":30,"SOG":1.2},{"yearID":1871,"name":"Troy Haymakers","G":29,"SO":19,"SOG":0.66},{"yearID":1871,"name":"Washington Olympics","G":32,"SO":13,"SOG":0.41},{"yearID":1872,"name":"Baltimore Canaries","G":58,"SO":28,"SOG":0.48},{"yearID":1872,"name":"Brooklyn Eckfords","G":29,"SO":29,"SOG":1},{"yearID":1872,"name":"Brooklyn Atlantics","G":37,"SO":24,"SOG":0.65},{"yearID":1872,"name":"Boston Red Stockings","G":48,"SO":26,"SOG":0.54},{"yearID":1872,"name":"Cleveland Forest Citys","G":22,"SO":13,"SOG":0.59},{"yearID":1872,"name":"Middletown Mansfields","G":24,"SO":12,"SOG":0.5},{"yearID":1872,"name":"New York Mutuals","G":56,"SO":52,"SOG":0.93},{"yearID":1872,"name":"Philadelphia Athletics","G":47,"SO":47,"SOG":1},{"yearID":1872,"name":"Troy Haymakers","G":25,"SO":14,"SOG":0.56},{"yearID":1872,"name":"Washington Olympics","G":9,"SO":4,"SOG":0.44},{"yearID":1872,"name":"Washington Nationals","G":11,"SO":3,"SOG":0.27}]; | |
| var svg = dimple.newSvg("#" + opts.id, opts.width, opts.height); | |
| //data = dimple.filterData(data, "Owner", ["Aperture", "Black Mesa"]) | |
| var myChart = new dimple.chart(svg, data); | |
| if (opts.bounds) { | |
| myChart.setBounds(opts.bounds.x, opts.bounds.y, opts.bounds.width, opts.bounds.height);//myChart.setBounds(80, 30, 480, 330); | |
| } | |
| //dimple allows use of custom CSS with noFormats | |
| if(opts.noFormats) { myChart.noFormats = opts.noFormats; }; | |
| //for markimekko and addAxis also have third parameter measure | |
| //so need to evaluate if measure provided | |
| //function to build axes | |
| function buildAxis(position,layer){ | |
| var axis; | |
| var axisopts; | |
| if (!layer[position+"Axis"]){ | |
| axisopts = opts[position+"Axis"]; | |
| } else axisopts = layer[position+"Axis"]; | |
| if(axisopts.measure) { | |
| axis = myChart[axisopts.type](position,layer[position],axisopts.measure); | |
| } else { | |
| axis = myChart[axisopts.type](position, layer[position]); | |
| }; | |
| if(!(axisopts.type === "addPctAxis")) axis.showPercent = axisopts.showPercent; | |
| if (axisopts.orderRule) axis.addOrderRule(axisopts.orderRule); | |
| if (axisopts.grouporderRule) axis.addGroupOrderRule(axisopts.grouporderRule); | |
| if (axisopts.overrideMin) axis.overrideMin = axisopts.overrideMin; | |
| if (axisopts.overrideMax) axis.overrideMax = axisopts.overrideMax; | |
| if (axisopts.overrideMax) axis.overrideMax = axisopts.overrideMax; | |
| if (axisopts.inputFormat) axis.dateParseFormat = axisopts.inputFormat; | |
| if (axisopts.outputFormat) axis.tickFormat = axisopts.outputFormat; | |
| return axis; | |
| }; | |
| var c = null; | |
| if(d3.keys(opts.colorAxis).length > 0) { | |
| c = myChart[opts.colorAxis.type](opts.colorAxis.colorSeries,opts.colorAxis.palette) ; | |
| } | |
| //allow manipulation of default colors to use with dimple | |
| if(opts.defaultColors.length) { | |
| opts.defaultColors = opts.defaultColors[0]; | |
| if (typeof(opts.defaultColors) == "function") { | |
| //assume this is a d3 scale | |
| //for now loop through first 20 but need a better way to handle | |
| defaultColorsArray = []; | |
| for (var n=0;n<20;n++) { | |
| defaultColorsArray.push(opts.defaultColors(n)); | |
| }; | |
| opts.defaultColors = defaultColorsArray; | |
| } | |
| opts.defaultColors.forEach(function(d,i) { | |
| opts.defaultColors[i] = new dimple.color(d); | |
| }) | |
| myChart.defaultColors = opts.defaultColors; | |
| } | |
| //do series | |
| //set up a function since same for each | |
| //as of now we have x,y,groups,data,type in opts for primary layer | |
| //and other layers reside in opts.layers | |
| function buildSeries(layer, hidden){ | |
| var x = buildAxis("x", layer); | |
| x.hidden = hidden; | |
| var y = buildAxis("y", layer); | |
| y.hidden = hidden; | |
| //z for bubbles | |
| var z = null; | |
| if (!(typeof(layer.zAxis) === 'undefined') && layer.zAxis.type){ | |
| z = buildAxis("z", layer); | |
| }; | |
| //here think I need to evaluate group and if missing do null | |
| //as the group argument | |
| //if provided need to use groups from layer | |
| var s = new dimple.series(myChart, null, x, y, z, c, dimple.plot[layer.type], dimple.aggregateMethod.avg, dimple.plot[layer.type].stacked); | |
| //as of v1.1.4 dimple can use different dataset for each series | |
| if(layer.data){ | |
| //convert to an array of objects | |
| //avoid lodash for now | |
| datakeys = d3.keys(layer.data) | |
| layer.dataarray = layer.data[datakeys[1]].map(function(d,i){ | |
| var tempobj = {} | |
| datakeys.forEach(function(key){ | |
| tempobj[key] = layer.data[key][i] | |
| }) | |
| return tempobj | |
| }) | |
| s.data = layer.dataarray; | |
| } | |
| if(layer.hasOwnProperty("groups")) { | |
| s.categoryFields = (typeof layer.groups === "object") ? layer.groups : [layer.groups]; | |
| //series offers an aggregate method that we will also need to check if available | |
| //options available are avg, count, max, min, sum | |
| if (!(typeof(layer.aggregate) === 'undefined')) { | |
| s.aggregate = eval(layer.aggregate); | |
| } | |
| if (!(typeof(layer.lineWeight) === 'undefined')) { | |
| s.lineWeight = eval(layer.lineWeight); | |
| } | |
| if (!(typeof(layer.barGap) === 'undefined')) { | |
| s.barGap = eval(layer.barGap); | |
| } | |
| }; | |
| myChart.series.push(s); | |
| return s; | |
| }; | |
| buildSeries(opts, false); | |
| if (opts.layers.length > 0) { | |
| opts.layers.forEach(function(layer){ | |
| buildSeries(layer, true); | |
| }) | |
| } | |
| //unsure if this is best but if legend is provided (not empty) then evaluate | |
| if(d3.keys(opts.legend).length > 0) { | |
| var l =myChart.addLegend(); | |
| d3.keys(opts.legend).forEach(function(d){ | |
| l[d] = opts.legend[d]; | |
| }); | |
| } | |
| //quick way to get this going but need to make this cleaner | |
| if(opts.storyboard) { | |
| myChart.setStoryboard(opts.storyboard); | |
| }; | |
| myChart.draw(); | |
| </script> | |
| </body> | |
| </html> |
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