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BlockSpring - A Basic Stream Graph.
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| <!DOCTYPE html> | |
| <meta charset="utf-8"> | |
| <style> | |
| body { | |
| margin: 0; | |
| } | |
| path { | |
| stroke: #000; | |
| fill-opacity: .8; | |
| } | |
| </style> | |
| <body> | |
| <div id="chart"></div> | |
| <script src="http://d3js.org/d3.v3.min.js"></script> | |
| <script> | |
| renderStream(); | |
| function renderStream(){ | |
| // Set width and height. | |
| var width = 950, | |
| height = 500; | |
| // Hardcode the csv data. | |
| var csv = | |
| [ | |
| {value: 10, series: "one"}, | |
| {value: 20, series: "one"}, | |
| {value: 90, series: "one"}, | |
| {value: 30, series: "one"}, | |
| {value: 90, series: "one"}, | |
| {value: 50, series: "one"}, | |
| {value: 10, series: "one"}, | |
| {value: 40, series: "one"}, | |
| {value: 10, series: "one"}, | |
| {value: 30, series: "one"}, | |
| {value: 50, series: "one"}, | |
| {value: 20, series: "one"}, | |
| {value: 30, series: "one"}, | |
| {value: 40, series: "two"}, | |
| {value: 30, series: "two"}, | |
| {value: 10, series: "two"}, | |
| {value: 20, series: "two"}, | |
| {value: 30, series: "two"}, | |
| {value: 50, series: "two"}, | |
| {value: 30, series: "two"}, | |
| {value: 90, series: "two"}, | |
| {value: 30, series: "two"}, | |
| {value: 20, series: "two"}, | |
| {value: 60, series: "two"}, | |
| {value: 80, series: "two"}, | |
| {value: 75, series: "two"}, | |
| ]; | |
| // Hardcode series headers. | |
| var streamHeightHeader = "value"; | |
| var seriesHeader = "series"; | |
| // Get unique list of series | |
| var uniqueSeries = findUniqueSeries(csv); | |
| var m = uniqueSeries.length; // number of series | |
| // Transform csv data | |
| var data = transformCSV(csv, uniqueSeries); | |
| var n = data[0].length; // number of values assuming each series has equal # of values. | |
| // set scales for x and y positions, and area size. | |
| var x = d3.scale.linear() | |
| .domain([0, n - 1]) | |
| .range([0, width]); | |
| var y = d3.scale.ordinal() | |
| .domain(d3.range(m)) | |
| .rangePoints([0, height], 1); | |
| var z = d3.scale.linear() | |
| .domain(d3.extent(csv, function(d){ return d[streamHeightHeader]; })) | |
| .range([0, height / (2*m)]); | |
| // set scales for color. | |
| var color = d3.scale.ordinal() | |
| .range(["#98abc5", "#8a89a6", "#7b6888", "#6b486b", "#a05d56"]); | |
| // instantiate area function. | |
| var area = d3.svg.area() | |
| .interpolate("basis") | |
| .x(function(d, i) { return x(i); }) | |
| .y0(function(d) { return -z(d); }) | |
| .y1(function(d) { return z(d); }); | |
| // add svg to dom. | |
| var svg = d3.select("#chart").append("svg") | |
| .attr("width", width) | |
| .attr("height", height); | |
| // add area plots to dom. | |
| svg.selectAll("path") | |
| .data(data) | |
| .enter().append("path") | |
| .attr("transform", function(d, i) { return "translate(0," + y(i) + ")"; }) | |
| .style("fill", function(d, i) { return color(i); }) | |
| .attr("d", area); | |
| function findUniqueSeries(csv){ | |
| // Get a unique list of series. | |
| var uniqueSeries = d3.set(csv.map(function(row){ | |
| return row[seriesHeader]; | |
| })).values(); | |
| return uniqueSeries; | |
| } | |
| function transformCSV(csv, uniqueSeries){ | |
| // Transform csv data into array of arrays. | |
| var dataObject = {}; | |
| uniqueSeries.forEach(function(series){ | |
| dataObject[series] = []; | |
| }) | |
| csv.forEach(function(row){ | |
| dataObject[row[seriesHeader]].push(row[streamHeightHeader]); | |
| }) | |
| return d3.values(dataObject); | |
| } | |
| } | |
| </script> |
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