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@biovisualize

biovisualize/data.csv

Created November 28, 2012 17:43
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data.csv
wl intensity r g b
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Raw
index.html
<!DOCTYPE html>
<html>
<head>
<meta http-equiv="content-type" content="text/html; charset=UTF-8">
<title></title>
<script type='text/javascript' src="http://mbostock.github.com/d3/d3.js"></script>
<style>
/* tell the SVG path to be a thin blue line without any area fill */
path {
stroke: steelblue;
stroke-width: 1;
fill: none;
}
.axis {
shape-rendering: crispEdges;
}
.x.axis line {
stroke: lightgrey;
}
.x.axis .minor {
stroke-opacity: .5;
}
.x.axis path {
display: none;
}
.y.axis line, .y.axis path {
fill: none;
stroke: #000;
}
</style>
</head>
<body>
<div id="graph" style="position:absolute;top:0px;left:0; float:left;"></div>
<script type='text/javascript'>
// Function plotting to answer this question: https://groups.google.com/d/msg/d3-js/vo-6AciRswU/2VF-uXgYra0J
// The same one with generated data instead of loaded from csv is here: http://jsfiddle.net/christopheviau/Hwpe3/
d3.csv("data.csv", function(data) {
// define dimensions of graph
var m = [80, 80, 80, 80]; // margins
var w = 1000 - m[1] - m[3]; // width
var h = 400 - m[0] - m[2]; // height
var dataX = data.map(function(d, i){return parseFloat(d.wl);});
var dataY = data.map(function(d, i){return parseFloat(d.intensity);});
// console.log(dataX, data.map(function(d, i){return d.wl;}));
// console.log(dataY, data.map(function(d, i){return d.intensity;}));
// X scale will fit all values from data[] within pixels 0-w
var x = d3.scale.linear().domain(d3.extent(dataX)).range([0, w]);
// Y scale will fit values from 0-10 within pixels h-0 (Note the inverted domain for the y-scale: bigger is up!)
var y = d3.scale.linear().domain(d3.extent(dataY)).range([h, 0]);
// create a line function that can convert data[] into x and y points
var line = d3.svg.line()
// assign the X function to plot our line as we wish
.x(function(d,i) {
// return the X coordinate where we want to plot this datapoint
return x(parseFloat(d.wl));
})
.y(function(d) {
// return the Y coordinate where we want to plot this datapoint
return y(parseFloat(d.intensity));
})
// Add an SVG element with the desired dimensions and margin.
var graph = d3.select("#graph").append("svg")
.attr("width", w + m[1] + m[3])
.attr("height", h + m[0] + m[2])
.append("g")
.attr("transform", "translate(" + m[3] + "," + m[0] + ")");
// create yAxis
var xAxis = d3.svg.axis().scale(x).tickSize(-h).tickSubdivide(true);
// Add the x-axis.
graph.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + h + ")")
.call(xAxis);
// create left yAxis
var yAxisLeft = d3.svg.axis().scale(y).ticks(4).orient("left");
// Add the y-axis to the left
graph.append("g")
.attr("class", "y axis")
.attr("transform", "translate(-25,0)")
.call(yAxisLeft);
// Add the line by appending an path element with the data line we created above
// do this AFTER the axes above so that the line is above the tick-lines
graph.append("path").attr("d", line(data));
});
</script>
</body>
</html>
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