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Matrix Layout (Michael Aufreiter)
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| <!DOCTYPE html> | |
| <html> | |
| <head> | |
| <script type="text/javascript" src="http://mbostock.github.com/d3/d3.js"></script> | |
| <script type="text/javascript" src="matrix.js"></script> | |
| <style type="text/css"> | |
| rect.cell { | |
| fill: red; | |
| fill: steelblue; | |
| fill-opacity: .8; | |
| stroke: white; | |
| } | |
| rect.cell:hover { | |
| fill-opacity: 1.0; | |
| } | |
| </style> | |
| </head> | |
| <body> | |
| <div id="canvas"></div> | |
| <script type="text/javascript"> | |
| var plot = MatrixPlot(); | |
| setInterval(function() { | |
| plot.update({ | |
| collection: { | |
| items: function() { return d3.zip(d3.range(10 + ~~(Math.random() * 50))); } | |
| } | |
| }); | |
| }, 2500); | |
| </script> | |
| </body> | |
| </html> |
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| var w = 960, | |
| h = 500; | |
| // Matrix Layout | |
| // ------------ | |
| var Matrix = function() { | |
| var width = 1, | |
| height = 1, | |
| cols = 4; | |
| // Simple matrix layout algorithm | |
| // Computes a suitable column count to fit the matrix | |
| // dimensions (width x height) | |
| function computeCols(n, width, height) { | |
| var cols = 1, // number of cols | |
| a, // edge length | |
| rows; // number of rows | |
| while(true) { | |
| a = width / cols; | |
| rows = Math.ceil(n/cols); | |
| if (rows*a <= height && n*a*a <= width*height) | |
| return cols; | |
| else { | |
| cols += 1; | |
| } | |
| } | |
| } | |
| function matrix(data, i) { | |
| var cols = computeCols(data.length, width, height); | |
| var size = Math.floor(width / cols); | |
| data.forEach(function(d, i) { | |
| d.x = parseInt((i % cols)*size, 10); | |
| d.y = Math.floor(i / cols)*size; | |
| d.dx = size; | |
| d.dy = size; | |
| }); | |
| return data; | |
| } | |
| matrix.size = function(w, h) { | |
| width = w; | |
| height = h; | |
| return matrix; | |
| }; | |
| return matrix; | |
| }; | |
| // Matrix Plot | |
| // ------------ | |
| var MatrixPlot = function(el, options) { | |
| var vis, matrix, cells, collection; | |
| var initialized = false; | |
| function init() { | |
| vis = d3.select("#canvas") | |
| .append("svg:svg") | |
| .attr("width", w) | |
| .attr("height", h); | |
| matrix = Matrix() | |
| .size(700, 500); | |
| initialized = true; | |
| } | |
| function cell() { | |
| this | |
| .attr("x", function(d) { return d.x; }) | |
| .attr("y", function(d) { return d.y; }) | |
| .attr("width", function(d) { return d.dx-5; }) | |
| .attr("height", function(d) { return d.dy-5; }); | |
| } | |
| function update(options) { | |
| collection = options.collection; | |
| if (!initialized) init(); | |
| cells = vis.data([collection.items()]).selectAll("rect") | |
| .data(matrix); | |
| // Transition of new (arriving cells) | |
| cells.enter().append("svg:rect") | |
| .attr("class", "cell") | |
| .attr("x", function(d) { return 0; }) | |
| .attr("y", function(d) { return 0; }) | |
| .attr("width", function(d) { return 0; }) | |
| .attr("height", function(d) { return 0; }) | |
| .attr("rx", 5) | |
| .attr("ry", 5) | |
| .transition() | |
| .delay(function(d, i) { return i * 20; }) | |
| .duration(1500) | |
| .call(cell); | |
| // Transition of existing cells | |
| cells.transition() | |
| .delay(function(d, i) { return i * 20; }) | |
| .duration(1500) | |
| .call(cell); | |
| // Exit transition | |
| cells.exit().transition() | |
| .delay(function(d, i) { return i * 20; }) | |
| .duration(1500) | |
| .attr("x", function(d, i) { return -400; }) | |
| .attr("y", function(d, i) { return -400; }) | |
| .remove(); | |
| } | |
| // Expose Public API | |
| return { | |
| update: update | |
| } | |
| }; |
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