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cool-Blue/data-alt.csv

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Last active August 29, 2015 14:24
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Transitioning a line chart, but with data bound to the path element
Raw
readme.md

Idiomatic version of an animated line chart with added animated "y-value and y-axis only" initial entry.
Instead of passing the line data into a d3.svg.line() object explicitly, the data is first bound to the path and then passed to the d3.svg.line() object implicitly via selection.attr().

Raw
data-alt.csv
date close
10-May-12 99.55
8-May-12 76.86
6-May-12 67.62
4-May-12 64.48
2-May-12 60.98
1-May-12 58.13
30-Apr-12 53.98
27-Apr-12 67.00
26-Apr-12 89.70
25-Apr-12 99.00
24-Apr-12 90.28
23-Apr-12 106.70
20-Apr-12 94.98
19-Apr-12 85.44
18-Apr-12 73.34
17-Apr-12 53.70
16-Apr-12 50.13
13-Apr-12 65.23
12-Apr-12 62.77
11-Apr-12 66.20
10-Apr-12 68.44
9-Apr-12 66.23
5-Apr-12 63.68
4-Apr-12 64.31
3-Apr-12 69.32
2-Apr-12 61.63
Raw
data.csv
date close
1-May-12 58.13
30-Apr-12 53.98
27-Apr-12 67.00
26-Apr-12 89.70
25-Apr-12 99.00
24-Apr-12 130.28
23-Apr-12 166.70
20-Apr-12 234.98
19-Apr-12 345.44
18-Apr-12 443.34
17-Apr-12 543.70
16-Apr-12 580.13
13-Apr-12 605.23
12-Apr-12 622.77
11-Apr-12 626.20
10-Apr-12 628.44
9-Apr-12 636.23
5-Apr-12 633.68
4-Apr-12 624.31
3-Apr-12 629.32
2-Apr-12 618.63
30-Mar-12 599.55
29-Mar-12 609.86
28-Mar-12 617.62
27-Mar-12 614.48
26-Mar-12 606.98
Raw
index.html
<!DOCTYPE html>
<meta charset="utf-8">
<style> /* set the CSS */
body {
font: 12px Arial;
}
path {
stroke: steelblue;
stroke-width: 2;
fill: none;
}
.axis path,
.axis line {
fill: none;
stroke: grey;
stroke-width: 1;
shape-rendering: crispEdges;
}
</style>
<body>
<div id="option">
<input name="updateButton"
type="button"
value="Update"
onclick="updateData()"/>
</div>
<!-- load the d3.js library -->
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.4.11/d3.min.js"></script>
<script>
// Set the dimensions of the canvas / graph
var margin = {top: 30, right: 20, bottom: 30, left: 50},
width = 600 - margin.left - margin.right,
height = 270 - margin.top - margin.bottom;
// Parse the date / time
var parseDate = d3.time.format("%d-%b-%y").parse;
// Set the ranges
var x = d3.time.scale().range([0, width]);
var y = d3.scale.linear().range([height, 0]);
// Define the axes
var xAxis = d3.svg.axis().scale(x)
.orient("bottom").ticks(5);
var yAxis = d3.svg.axis().scale(y)
.orient("left").ticks(5);
// Define the line
var valueline = d3.svg.line()
.x(function (d) {
return x(d.date);
})
.y(function (d) {
return y(d.close);
});
// Adds the svg canvas
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 + ")");
//EDIT ********************************************
var line, source = ["data.csv", "data-alt.csv"];
source.get = (function(){
var pointer = true;
return function(){
return (pointer =!pointer, this[+pointer]);
}
})();
// Get the data
d3.csv(source.get(), function (error, data) {
data.forEach(function (d) {
d.date = parseDate(d.date);
d.close = +d.close;
});
var entryData = data.map(function (d) {
return ({date: d.date, close: 0})
})
// Scale the range of the data
x.domain(d3.extent(data, function (d) {
return d.date;
}));
y.domain([0, d3.max(data, function (d) {
return d.close;
})]);
//Bind the data first THEN add the valueline path.
//Start with all zero y values
line = svg.selectAll("line").data([entryData]);
line.enter().append("path")
.attr("class", "line")
.attr("d", valueline);
// Transition initial data, y values only
line.data([data]);
line.transition().delay(500).call(trans, "entry")
// Add the valueline path.
.attr("d", valueline);
// Add the X Axis
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis);
// Add the Y Axis with entry transition
var gYaxis = svg.append("g")
.attr("class", "y axis");
//Null axis starting point
y.domain([0, 0]);
gYaxis.call(yAxis);
//Final axis after entry transition
y.domain([0, d3.max(data, function (d) {
return d.close;
})]);
gYaxis.transition().delay(500).call(trans, "entry")
.call(yAxis);
});
// ** Update data section (Called from the onclick)
function updateData() {
// Get the data again
d3.csv(source.get(), function (error, data) {
data.forEach(function (d) {
d.date = parseDate(d.date);
d.close = +d.close;
});
// Scale the range of the data again
x.domain(d3.extent(data, function (d) {
return d.date;
}));
y.domain([0, d3.max(data, function (d) {
return d.close;
})]);
//EDIT ********************************************
// Bind the new data and then transition
line = svg.selectAll(".line").data([data]);
line.enter().append("path")
.attr("class", "line")
line.transition().call(trans)
// Add the valueline path.
.attr("d", valueline);
// Select the section we want to apply our changes to
var svgTrans = d3.select("body").transition();
// Make the changes
svgTrans.select(".x.axis") // change the x axis
.call(trans)
.call(xAxis);
svgTrans.select(".y.axis") // change the y axis
.call(trans)
.call(yAxis);
});
}
function trans (transition, name){
var delays = {normal:0, entry: 500};
name = name || "normal";
transition.duration(750).delay(delays[name]).ease("sin-in-out")
}
</script>
</body>
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