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<!DOCTYPE html> |
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<meta charset="utf-8"> |
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<style> |
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.axis--x path { |
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display: none; |
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} |
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.line { |
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fill: none; |
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stroke: steelblue; |
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stroke-width: 1.5px; |
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} |
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</style> |
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<svg width="960" height="500"></svg> |
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<script src="//d3js.org/d3.v4.min.js"></script> |
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<script> |
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var svg = d3.select("svg"), |
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margin = {top: 20, right: 80, bottom: 30, left: 50}, |
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width = svg.attr("width") - margin.left - margin.right, |
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height = svg.attr("height") - margin.top - margin.bottom, |
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g = svg.append("g").attr("transform", "translate(" + margin.left + "," + margin.top + ")"); |
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var parseTime = d3.timeParse("%Y%m%d"); |
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var x = d3.scaleTime().range([0, width]), |
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y = d3.scaleLinear().range([height, 0]), |
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z = d3.scaleOrdinal(d3.schemeCategory10); |
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var line = d3.line() |
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.curve(d3.curveBasis) |
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.x(function(d) { return x(d.date); }) |
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.y(function(d) { return y(d.temperature); }); |
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// manipulate data |
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d3.tsv("data.tsv", type, function(error, data) { |
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if (error) throw error; |
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// remove the first column, then iterate over the cities |
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var cities = data.columns.slice(1).map(function(id) { |
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// the id is the city name. |
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return { |
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id: id, |
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values: data.map(function(d) { |
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return {date: d.date, temperature: d[id]}; |
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}) |
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}; |
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}); |
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// the data is going to be, the an array of 3 elements, one for each series, then for each element there is an id = name of the time series, and a data array, with the time, and the temperature data. |
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// get the domain for the x axis |
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x.domain(d3.extent(data, function(d) { return d.date; })); |
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// domain for the Y axis |
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y.domain([ |
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d3.min(cities, function(c) { return d3.min(c.values, function(d) { return d.temperature; }); }), |
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d3.max(cities, function(c) { return d3.max(c.values, function(d) { return d.temperature; }); }) |
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]); |
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// domain for the colors |
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z.domain(cities.map(function(c) { return c.id; })); |
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// append the x axis |
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g.append("g") |
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.attr("class", "axis axis--x") |
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.attr("transform", "translate(0," + height + ")") |
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.call(d3.axisBottom(x)); |
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// append the y axis |
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g.append("g") |
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.attr("class", "axis axis--y") |
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.call(d3.axisLeft(y)) |
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.append("text") |
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.attr("transform", "rotate(-90)") |
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.attr("y", 6) |
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.attr("dy", "0.71em") |
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.attr("fill", "#000") |
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.text("Temperature, ºF"); |
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// add 3 groups, one for each time series |
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var city = g.selectAll(".city") |
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.data(cities) |
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.enter().append("g") |
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.attr("class", "city"); |
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// in each time series, append a path, in the attribute d, assign the temperature values with the function line, and the stroke is the color of the scale |
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city.append("path") |
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.attr("class", "line") |
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.attr("d", function(d) { return line(d.values); }) |
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.style("stroke", function(d) { return z(d.id); }); |
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city.append("text") |
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.datum(function(d) { return {id: d.id, value: d.values[d.values.length - 1]}; }) |
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.attr("transform", function(d) { return "translate(" + x(d.value.date) + "," + y(d.value.temperature) + ")"; }) |
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.attr("x", 3) |
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.attr("dy", "0.35em") |
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.style("font", "10px sans-serif") |
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.text(function(d) { return d.id; }); |
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}); |
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function type(d, _, columns) { |
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d.date = parseTime(d.date); |
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for (var i = 1, n = columns.length, c; i < n; ++i) d[c = columns[i]] = +d[c]; |
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return d; |
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} |
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</script> |
