I am trying to plot some extremely small values with d3.js. Is there a direct way to visualise the tick labels in scientific (exponential) notation?
<!DOCTYPE html>
<meta charset="utf-8">
<style>
</style>
<body>
<!-- load the d3.js library -->
<script src="//d3js/d3.v4.min.js"></script>
<script>
// set the dimensions and margins of the graph
var margin = {top: 20, right: 20, bottom: 30, left: 50},
width = 960 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
// parse the date / time
var data = [[0.3, 5e-300],[0.1, 3e-300],[0.7, 4e-300],[0.2, 7e-300],[0.6, 2.5e-300],[0.9, 4.2e-300]]
// set the ranges
var x = d3.scaleLinear().range([0, width]).domain([0, d3.max(data, function(d) { return d[0]; })]);
var y = d3.scaleLinear().range([height, 0]).domain([0, d3.max(data, function(d) { return d[1]; })]);
// append the svg obgect to the body of the page
// appends a 'group' element to 'svg'
// moves the 'group' element to the top left margin
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 + ")");
svg.selectAll("dot")
.data(data)
.enter().append("circle")
.attr("cx", function (d,i) { return x(d[0]); } )
.attr("cy", function (d) { return y(d[1]); } )
.attr("r", 8);
// Add the X Axis
svg.append("g")
.attr("transform", "translate(0," + height + ")")
.call(d3.axisBottom(x));
// Add the Y Axis
svg.append("g")
.call(d3.axisLeft(y)
.tickFormat(d3.formatPrefix(".1s", 1e-300)));;
</script>
</body>
Here's an example created with in matplotlib. I would like to achieve the same thing with regard to y-axis notation
I am trying to plot some extremely small values with d3.js. Is there a direct way to visualise the tick labels in scientific (exponential) notation?
<!DOCTYPE html>
<meta charset="utf-8">
<style>
</style>
<body>
<!-- load the d3.js library -->
<script src="//d3js/d3.v4.min.js"></script>
<script>
// set the dimensions and margins of the graph
var margin = {top: 20, right: 20, bottom: 30, left: 50},
width = 960 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
// parse the date / time
var data = [[0.3, 5e-300],[0.1, 3e-300],[0.7, 4e-300],[0.2, 7e-300],[0.6, 2.5e-300],[0.9, 4.2e-300]]
// set the ranges
var x = d3.scaleLinear().range([0, width]).domain([0, d3.max(data, function(d) { return d[0]; })]);
var y = d3.scaleLinear().range([height, 0]).domain([0, d3.max(data, function(d) { return d[1]; })]);
// append the svg obgect to the body of the page
// appends a 'group' element to 'svg'
// moves the 'group' element to the top left margin
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 + ")");
svg.selectAll("dot")
.data(data)
.enter().append("circle")
.attr("cx", function (d,i) { return x(d[0]); } )
.attr("cy", function (d) { return y(d[1]); } )
.attr("r", 8);
// Add the X Axis
svg.append("g")
.attr("transform", "translate(0," + height + ")")
.call(d3.axisBottom(x));
// Add the Y Axis
svg.append("g")
.call(d3.axisLeft(y)
.tickFormat(d3.formatPrefix(".1s", 1e-300)));;
</script>
</body>
Here's an example created with in matplotlib. I would like to achieve the same thing with regard to y-axis notation
Share Improve this question edited Oct 29, 2016 at 13:25 spyrostheodoridis asked Oct 29, 2016 at 13:18 spyrostheodoridisspyrostheodoridis 5182 gold badges9 silver badges28 bronze badges1 Answer
Reset to default 8A solution with d3.format:
svg.append("g")
.call(d3.axisLeft(y)
.tickFormat(d3.format(".1e")));
Here is a demo:
var margin = {top: 20, right: 20, bottom: 30, left: 50},
width = 960 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
// parse the date / time
var data = [[0.3, 5e-300],[0.1, 3e-300],[0.7, 4e-300],[0.2, 7e-300],[0.6, 2.5e-300],[0.9, 4.2e-300]]
// set the ranges
var x = d3.scaleLinear().range([0, width]).domain([0, d3.max(data, function(d) { return d[0]; })]);
var y = d3.scaleLinear().range([height, 0]).domain([0, d3.max(data, function(d) { return d[1]; })]);
// append the svg obgect to the body of the page
// appends a 'group' element to 'svg'
// moves the 'group' element to the top left margin
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 + ")");
svg.selectAll("dot")
.data(data)
.enter().append("circle")
.attr("cx", function (d,i) { return x(d[0]); } )
.attr("cy", function (d) { return y(d[1]); } )
.attr("r", 8);
// Add the X Axis
svg.append("g")
.attr("transform", "translate(0," + height + ")")
.call(d3.axisBottom(x));
// Add the Y Axis
svg.append("g")
.call(d3.axisLeft(y)
.tickFormat(d3.format(".1e")));<script src="https://d3js/d3.v4.min.js"></script>