| license: gpl-3.0 | |
| height: 620 | |
| border: no |
This is a fork of mbostock's Histogram. What I mainly add to the original are:
This example can be view on bl.ocks.org.
| <!DOCTYPE html> | |
| <meta charset="utf-8"> | |
| <style> | |
| body { | |
| font: 10px sans-serif; | |
| } | |
| .bar rect { | |
| shape-rendering: crispEdges; | |
| } | |
| .bar text { | |
| fill: #999999; | |
| } | |
| .axis path, .axis line { | |
| fill: none; | |
| stroke: #000; | |
| shape-rendering: crispEdges; | |
| } | |
| </style> | |
| <body> | |
| <script src="http://d3js.org/d3.v3.min.js"></script> | |
| <script> | |
| var color = "steelblue"; | |
| // Generate a 1000 data points using normal distribution with mean=20, deviation=5 | |
| var values = d3.range(1000).map(d3.random.normal(20, 5)); | |
| // A formatter for counts. | |
| var formatCount = d3.format(",.0f"); | |
| var margin = {top: 20, right: 30, bottom: 30, left: 30}, | |
| width = 960 - margin.left - margin.right, | |
| height = 500 - margin.top - margin.bottom; | |
| var max = d3.max(values); | |
| var min = d3.min(values); | |
| var x = d3.scale.linear() | |
| .domain([min, max]) | |
| .range([0, width]); | |
| // Generate a histogram using twenty uniformly-spaced bins. | |
| var data = d3.layout.histogram() | |
| .bins(x.ticks(20)) | |
| (values); | |
| var yMax = d3.max(data, function(d){return d.length}); | |
| var yMin = d3.min(data, function(d){return d.length}); | |
| var colorScale = d3.scale.linear() | |
| .domain([yMin, yMax]) | |
| .range([d3.rgb(color).brighter(), d3.rgb(color).darker()]); | |
| var y = d3.scale.linear() | |
| .domain([0, yMax]) | |
| .range([height, 0]); | |
| var xAxis = d3.svg.axis() | |
| .scale(x) | |
| .orient("bottom"); | |
| var svg = d3.select("body").append("svg") | |
| .attr("width", width + margin.left + margin.right) | |
| .attr("height", height + margin.top + margin.bottom) | |
| .append("g") | |
| .attr("transform", "translate(" + margin.left + "," + margin.top + ")"); | |
| var bar = svg.selectAll(".bar") | |
| .data(data) | |
| .enter().append("g") | |
| .attr("class", "bar") | |
| .attr("transform", function(d) { return "translate(" + x(d.x) + "," + y(d.y) + ")"; }); | |
| bar.append("rect") | |
| .attr("x", 1) | |
| .attr("width", (x(data[0].dx) - x(0)) - 1) | |
| .attr("height", function(d) { return height - y(d.y); }) | |
| .attr("fill", function(d) { return colorScale(d.y) }); | |
| bar.append("text") | |
| .attr("dy", ".75em") | |
| .attr("y", -12) | |
| .attr("x", (x(data[0].dx) - x(0)) / 2) | |
| .attr("text-anchor", "middle") | |
| .text(function(d) { return formatCount(d.y); }); | |
| svg.append("g") | |
| .attr("class", "x axis") | |
| .attr("transform", "translate(0," + height + ")") | |
| .call(xAxis); | |
| /* | |
| * Adding refresh method to reload new data | |
| */ | |
| function refresh(values){ | |
| // var values = d3.range(1000).map(d3.random.normal(20, 5)); | |
| var data = d3.layout.histogram() | |
| .bins(x.ticks(20)) | |
| (values); | |
| // Reset y domain using new data | |
| var yMax = d3.max(data, function(d){return d.length}); | |
| var yMin = d3.min(data, function(d){return d.length}); | |
| y.domain([0, yMax]); | |
| var colorScale = d3.scale.linear() | |
| .domain([yMin, yMax]) | |
| .range([d3.rgb(color).brighter(), d3.rgb(color).darker()]); | |
| var bar = svg.selectAll(".bar").data(data); | |
| // Remove object with data | |
| bar.exit().remove(); | |
| bar.transition() | |
| .duration(1000) | |
| .attr("transform", function(d) { return "translate(" + x(d.x) + "," + y(d.y) + ")"; }); | |
| bar.select("rect") | |
| .transition() | |
| .duration(1000) | |
| .attr("height", function(d) { return height - y(d.y); }) | |
| .attr("fill", function(d) { return colorScale(d.y) }); | |
| bar.select("text") | |
| .transition() | |
| .duration(1000) | |
| .text(function(d) { return formatCount(d.y); }); | |
| } | |
| // Calling refresh repeatedly. | |
| setInterval(function() { | |
| var values = d3.range(1000).map(d3.random.normal(20, 5)); | |
| refresh(values); | |
| }, 2000); | |
| </script> |
