D3Js v3: Path not showing up on Node Elements - javascript

With Javascript Im generating HTML-Code with a SVG in it. I want to display a a donut chart in it then. Im able to draw the chart on a static HTML-Element. However, when I try to display it in my JavaScript-generated node element the path is not showing up, but I can see the text. What am I missing here?
https://jsfiddle.net/fuL5doja/46/
function createNodes(){
var parent = document.getElementById('chart');
var child = document.createElement('div');
child.classList.add('childContainer');
parent.appendChild(child);
var svg = document.createElement('svg');
svg.id = 'donut';
child.appendChild(svg);
}
function donutChart(){
// set the dimensions and margins of the graph
var width = 30
height = 30
margin = 0
// The radius of the pieplot is half the width or half the height (smallest one). I subtract a bit of margin.
var radius = 30
// append the svg object to the div called 'my_dataviz'
var svg = d3.select('#donut')
.attr("width", width)
.attr("height", height)
.append("g")
.attr("transform", "translate(" + width / 2 + "," + height / 2 + ")");
// Create dummy data
var dataDummy = {a: 70, b:30}
// set the color scale
var color = d3.scale.ordinal()
.domain(dataDummy)
.range(["#bebfc2", "#8FB91C"])
// Compute the position of each group on the pie:
var pie = d3.layout.pie()
.value(function(d) {return d.value; })
var data_ready = pie(d3.entries(dataDummy))
// Build the pie chart: Basically, each part of the pie is a path that we build using the arc function.
svg.selectAll('whatever')
.data(data_ready)
.enter()
.append('path')
.attr('d', d3.svg.arc()
.innerRadius(5) // This is the size of the donut hole
.outerRadius(radius)
)
.attr('fill', function(d){ return(color(d.data.key)) })
.style("opacity", 0.7)
svg.append("text")
.attr("x", -12) // space legend
.attr("y", 2)
.attr("class", "donutText")
.text('30%');
}
function donutChart2(){
// set the dimensions and margins of the graph
var width = 30
height = 30
margin = 0
// The radius of the pieplot is half the width or half the height (smallest one). I subtract a bit of margin.
var radius = 30
// append the svg object to the div called 'my_dataviz'
var svg = d3.select('#test')
.attr("width", width)
.attr("height", height)
.append("g")
.attr("transform", "translate(" + width / 2 + "," + height / 2 + ")");
// Create dummy data
var dataDummy = {a: 70, b:30}
// set the color scale
var color = d3.scale.ordinal()
.domain(dataDummy)
.range(["#bebfc2", "#8FB91C"])
// Compute the position of each group on the pie:
var pie = d3.layout.pie()
.value(function(d) {return d.value; })
var data_ready = pie(d3.entries(dataDummy))
// Build the pie chart: Basically, each part of the pie is a path that we build using the arc function.
svg.selectAll('whatever')
.data(data_ready)
.enter()
.append('path')
.attr('d', d3.svg.arc()
.innerRadius(5) // This is the size of the donut hole
.outerRadius(radius)
)
.attr('fill', function(d){ return(color(d.data.key)) })
.style("opacity", 0.7)
svg.append("text")
.attr("x", -12) // space legend
.attr("y", 2)
.attr("class", "donutText")
.text('30%');
}
createNodes();
donutChart();
donutChart2();
.childContainer {
width: 200px;
height: 100px;
border: 1px solid black;
}
#mySvg {
}
<div id="chart"></div>
<svg id="test"></svg>
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.17/d3.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/moment.js/2.29.1/moment.min.js" integrity="sha512-qTXRIMyZIFb8iQcfjXWCO8+M5Tbc38Qi5WzdPOYZHIlZpzBHG3L3by84BBBOiRGiEb7KKtAOAs5qYdUiZiQNNQ==" crossorigin="anonymous" referrerpolicy="no-referrer"></script>

You need to create the svg element with svg namespace uri for it to support path when creating directly with JavaScript:
var svg = document.createElementNS('http://www.w3.org/2000/svg','svg');
Instead of just the typical
var svg = document.createElement('svg');
Alternatively, you could use D3 to append the svg, which will make sure it's correctly namespaced!
d3.select(child).append('svg').attr('id', 'donut');

Related

D3,js graph dashboard conversion to png/jpg/pdf

I have created a dashboard(a set of 3 graphs) using d3, now i want to export the set of three graphs to any of the downloadable formats in the browser.
I referenced the following post and tried to download atleast one graph:
SVG to Canvas with d3.js
var formatAsPercentage = d3.format("%"),
formatAsPercentage1Dec = d3.format(".1%"),
formatAsInteger = d3.format(","),
fsec = d3.time.format("%S s"),
fmin = d3.time.format("%M m"),
fhou = d3.time.format("%H h"),
fwee = d3.time.format("%a"),
fdat = d3.time.format("%d d"),
fmon = d3.time.format("%b")
;
// Let's create a mock visualization
function dsPieChart(){
var dataset = [
{category: "apple", measure: 0.30},
{category: "mango", measure: 0.25},
{category: "pineapple", measure: 0.18},
{category: "orange", measure: 0.0},
{category: "peach", measure: 0.18}
]
;
var width = 400,
height = 400,
outerRadius = Math.min(width, height) / 2,
innerRadius = outerRadius * .999,
// for animation
innerRadiusFinal = outerRadius * .5,
innerRadiusFinal3 = outerRadius* .45,
color = d3.scale.category20() //builtin range of colors
;
var svg = d3.select("#pie")
.append("svg:svg") //create the SVG element inside the <body>
.data([dataset]) //associate our data with the document
.attr("width", width) //set the width and height of our visualization (these will be attributes of the <svg> tag
.attr("height", height)
.append("svg:g") //make a group to hold our pie chart
.attr("transform", "translate(" + outerRadius + "," + outerRadius + ")") //move the center of the pie chart from 0, 0 to radius, radius
;
var arc = d3.svg.arc() //this will create <path> elements for us using arc data
.outerRadius(outerRadius).innerRadius(innerRadius);
// for animation
var arcFinal = d3.svg.arc().innerRadius(innerRadiusFinal).outerRadius(outerRadius);
var arcFinal3 = d3.svg.arc().innerRadius(innerRadiusFinal3).outerRadius(outerRadius);
var pie = d3.layout.pie() //this will create arc data for us given a list of values
.value(function(d) { return d.measure; }); //we must tell it out to access the value of each element in our data array
var arcs = svg.selectAll("g.slice") //this selects all <g> elements with class slice (there aren't any yet)
.data(pie) //associate the generated pie data (an array of arcs, each having startAngle, endAngle and value properties)
.enter() //this will create <g> elements for every "extra" data element that should be associated with a selection. The result is creating a <g> for every object in the data array
.append("svg:g") //create a group to hold each slice (we will have a <path> and a <text> element associated with each slice)
.attr("class", "slice") //allow us to style things in the slices (like text)
.on("mouseover", mouseover)
.on("mouseout", mouseout)
.on("click", up)
;
arcs.append("svg:path")
.attr("fill", function(d, i) { return color(i); } ) //set the color for each slice to be chosen from the color function defined above
.attr("d", arc) //this creates the actual SVG path using the associated data (pie) with the arc drawing function
.append("svg:title") //mouseover title showing the figures
.text(function(d) { return d.data.category + ": " + formatAsPercentage(d.data.measure); });
d3.selectAll("g.slice").selectAll("path").transition()
.duration(750)
.delay(10)
.attr("d", arcFinal )
;
// Add a label to the larger arcs, translated to the arc centroid and rotated.
// source: http://bl.ocks.org/1305337#index.html
arcs.filter(function(d) { return d.endAngle - d.startAngle > .2; })
.append("svg:text")
.attr("dy", ".35em")
.attr("text-anchor", "middle")
.attr("transform", function(d) { return "translate(" + arcFinal.centroid(d) + ")rotate(" + angle(d) + ")"; })
//.text(function(d) { return formatAsPercentage(d.value); })
.text(function(d) { return d.data.category; })
;
// Computes the label angle of an arc, converting from radians to degrees.
function angle(d) {
var a = (d.startAngle + d.endAngle) * 90 / Math.PI - 90;
return a > 90 ? a - 180 : a;
}
// Pie chart title
svg.append("svg:text")
.attr("dy", ".35em")
.attr("text-anchor", "middle")
.text("Usage Domainwise")
.attr("class","title")
;
function mouseover() {
d3.select(this).select("path").transition()
.duration(750)
//.attr("stroke","red")
//.attr("stroke-width", 1.5)
.attr("d", arcFinal3)
;
}
function mouseout() {
d3.select(this).select("path").transition()
.duration(750)
//.attr("stroke","blue")
//.attr("stroke-width", 1.5)
.attr("d", arcFinal)
;
}
function up(d, i) {
/* update bar chart when user selects piece of the pie chart */
//updateBarChart(dataset[i].category);
updateBarChart(d.data.category, color(i));
updateBarStatusChart(d.data.category, color(i));
}
// Create an export button
d3.select("body")
.append("button")
.html("Export")
.on("click",svgToCanvas);
var w = 100, // or whatever your svg width is
h = 100;
// Create the export function - this will just export
// the first svg element it finds
function svgToCanvas(){
// Select the first svg element
var svg = d3.select("svg")[0][0],
img = new Image(),
serializer = new XMLSerializer(),
svgStr = serializer.serializeToString(svg);
img.src = 'data:image/svg+xml;base64,'+window.btoa(svgStr);
// You could also use the actual string without base64 encoding it:
//img.src = "data:image/svg+xml;utf8," + svgStr;
var canvas = document.createElement("canvas");
document.body.appendChild(canvas);
canvas.width = w;
canvas.height = h;
canvas.getContext("2d").drawImage(img,0,0,w,h);
// Now save as png or whatever
//var myCanvas = document.getElementsByTagName("canvas")[0];
document.write('<img src="'+canvas[0].toDataURL("image/png")+'"/>');
};
}
dsPieChart();
#pie {
position:absolute;
top:50px;
left:10px;
width:400px;
height: 400px;
}
<head>
<script src="https://d3js.org/d3.v3.min.js"></script>
</head>
<body>
<div>
<div id="pie"></div>
</div>
</body>
When i click on the export option its not able to recognise my canvas elemt i tried various options available online but to no use.
Soebody please let me know how to do it
What i want is when i cklick on export i want it to download my graph as a image
you missed image.onLoad function
var formatAsPercentage = d3.format("%"),
formatAsPercentage1Dec = d3.format(".1%"),
formatAsInteger = d3.format(","),
fsec = d3.time.format("%S s"),
fmin = d3.time.format("%M m"),
fhou = d3.time.format("%H h"),
fwee = d3.time.format("%a"),
fdat = d3.time.format("%d d"),
fmon = d3.time.format("%b")
;
// Let's create a mock visualization
function dsPieChart(){
var dataset = [
{category: "apple", measure: 0.30},
{category: "mango", measure: 0.25},
{category: "pineapple", measure: 0.18},
{category: "orange", measure: 0.0},
{category: "peach", measure: 0.18}
]
;
var width = 400,
height = 400,
outerRadius = Math.min(width, height) / 2,
innerRadius = outerRadius * .999,
// for animation
innerRadiusFinal = outerRadius * .5,
innerRadiusFinal3 = outerRadius* .45,
color = d3.scale.category20() //builtin range of colors
;
var svg = d3.select("#pie")
.append("svg:svg") //create the SVG element inside the <body>
.data([dataset]) //associate our data with the document
.attr("width", width) //set the width and height of our visualization (these will be attributes of the <svg> tag
.attr("height", height)
.append("svg:g") //make a group to hold our pie chart
.attr("transform", "translate(" + outerRadius + "," + outerRadius + ")") //move the center of the pie chart from 0, 0 to radius, radius
;
var arc = d3.svg.arc() //this will create <path> elements for us using arc data
.outerRadius(outerRadius).innerRadius(innerRadius);
// for animation
var arcFinal = d3.svg.arc().innerRadius(innerRadiusFinal).outerRadius(outerRadius);
var arcFinal3 = d3.svg.arc().innerRadius(innerRadiusFinal3).outerRadius(outerRadius);
var pie = d3.layout.pie() //this will create arc data for us given a list of values
.value(function(d) { return d.measure; }); //we must tell it out to access the value of each element in our data array
var arcs = svg.selectAll("g.slice") //this selects all <g> elements with class slice (there aren't any yet)
.data(pie) //associate the generated pie data (an array of arcs, each having startAngle, endAngle and value properties)
.enter() //this will create <g> elements for every "extra" data element that should be associated with a selection. The result is creating a <g> for every object in the data array
.append("svg:g") //create a group to hold each slice (we will have a <path> and a <text> element associated with each slice)
.attr("class", "slice") //allow us to style things in the slices (like text)
.on("mouseover", mouseover)
.on("mouseout", mouseout)
.on("click", up)
;
arcs.append("svg:path")
.attr("fill", function(d, i) { return color(i); } ) //set the color for each slice to be chosen from the color function defined above
.attr("d", arc) //this creates the actual SVG path using the associated data (pie) with the arc drawing function
.append("svg:title") //mouseover title showing the figures
.text(function(d) { return d.data.category + ": " + formatAsPercentage(d.data.measure); });
d3.selectAll("g.slice").selectAll("path").transition()
.duration(750)
.delay(10)
.attr("d", arcFinal )
;
// Add a label to the larger arcs, translated to the arc centroid and rotated.
// source: http://bl.ocks.org/1305337#index.html
arcs.filter(function(d) { return d.endAngle - d.startAngle > .2; })
.append("svg:text")
.attr("dy", ".35em")
.attr("text-anchor", "middle")
.attr("transform", function(d) { return "translate(" + arcFinal.centroid(d) + ")rotate(" + angle(d) + ")"; })
//.text(function(d) { return formatAsPercentage(d.value); })
.text(function(d) { return d.data.category; })
;
// Computes the label angle of an arc, converting from radians to degrees.
function angle(d) {
var a = (d.startAngle + d.endAngle) * 90 / Math.PI - 90;
return a > 90 ? a - 180 : a;
}
// Pie chart title
svg.append("svg:text")
.attr("dy", ".35em")
.attr("text-anchor", "middle")
.text("Usage Domainwise")
.attr("class","title")
;
function mouseover() {
d3.select(this).select("path").transition()
.duration(750)
//.attr("stroke","red")
//.attr("stroke-width", 1.5)
.attr("d", arcFinal3)
;
}
function mouseout() {
d3.select(this).select("path").transition()
.duration(750)
//.attr("stroke","blue")
//.attr("stroke-width", 1.5)
.attr("d", arcFinal)
;
}
function up(d, i) {
/* update bar chart when user selects piece of the pie chart */
//updateBarChart(dataset[i].category);
updateBarChart(d.data.category, color(i));
updateBarStatusChart(d.data.category, color(i));
}
// Create an export button
d3.select("body")
.append("button")
.html("Export")
.on("click",svgToCanvas);
var w = 100, // or whatever your svg width is
h = 100;
// Create the export function - this will just export
// the first svg element it finds
function svgToCanvas(){
// Select the first svg element
debugger;
var svg = d3.select("svg")[0][0],
img = new Image(),
serializer = new XMLSerializer(),
svgStr = serializer.serializeToString(svg);
data = 'data:image/svg+xml;base64,'+window.btoa(svgStr);
var canvas = document.createElement("canvas");
canvas.width = 400;
canvas.height = 400;
context = canvas.getContext("2d");
img.src = data;
img.onload = function() {
context.drawImage(img, 0, 0);
var canvasdata = canvas.toDataURL("image/png");
var pngimg = '<img src="'+canvasdata+'">';
var a = document.createElement("a");
a.download = "sample.png";
a.href = canvasdata;
a.click();
};
};
}
dsPieChart();
#pie {
position:absolute;
top:50px;
left:10px;
width:400px;
height: 400px;
}
<script src="https://d3js.org/d3.v3.min.js"></script>
<div>
<div id="pie"></div>
</div>

How better organize grid lines?

There are grid lines from points.
Is there another solution with better performance, because if I add many svg elements(etc. rects, circles, paths) and increase the dimension of the grid I will see the freeze effect when I use zoom, move element...
The size of the grid is changed.
Also, how can I create endless grid lines, instead limited (gridCountX, gridCountY)?
Thanks
var svg = d3.select("body").append("svg");
var svgG = svg.append("g");
var gridLines = svgG.append("g").classed("grid-lines-container", true).data(["gridLines"]);
var gridCountX = _.range(100);
var gridCountY = _.range(100);
var size = 10;
gridLines.selectAll("g").data(gridCountY)
.enter()
.append("g")
.each(function(d) {
d3.select(this).selectAll("circle").data(gridCountX).enter()
.append("circle")
.attr("cx", function(_d) {return _d*size;})
.attr("cy", function(_d) {return d*size;})
.attr("r", 0.5)
.attr("style", function() {
return "stroke: black;";
});
});
var zoomSvg = d3.zoom()
.scaleExtent([1, 10])
.on("zoom", function(){
svgG.attr("transform", d3.event.transform);
});
svg.call(zoomSvg);
svg {
width: 100%;
height: 100%;
border: 1px solid #a1a1a1;
}
<script src="https://cdnjs.cloudflare.com/ajax/libs/underscore.js/1.8.3/underscore-min.js"></script>
<script src="https://d3js.org/d3.v4.min.js"></script>
As you note, this approach is not really scalable and has a larger impact on performance. I have found the approach of utilizing d3 axes for grids to have minimal performance impact while also being relatively straightforward to incorporate with zoom such that you can have infinite zoom with the grid lines updating in a sensible manner due to the "magic" of automatic generation of sensible tick locations in d3.
To implement something similar in d3 v4, you can do something along these lines:
var svg = d3.select("svg"),
margin = {top: 20, right: 140, bottom: 50, left: 70},
width = svg.attr("width") - margin.left - margin.right,
height = svg.attr("height") - margin.top - margin.bottom,
g = svg.append("g").attr("transform", "translate(" + margin.left + "," + margin.top + ")"),
innerSvg = g.append("svg").attr("width", width).attr("height", height);
// Calculate domain for x and y from data and store in x0, y0 (not shown here)
x.domain(x0);
y.domain(y0);
xGridAxis = d3.axisBottom(x).ticks(10);
yGridAxis = d3.axisLeft(y).ticks(10 * height / width);
// Create grouping and additional set of axes for displaying grid
innerSvg.append("g")
.attr("class", "grid x-grid")
.attr("transform", "translate (0," + height + ")")
.call(xGridAxis
.tickSize(-height, 0, 0)
.tickFormat("")
)
.selectAll(".tick");
innerSvg.append("g")
.attr("class", "grid y-grid")
.attr("transform", "translate (" + width + ", 0)")
.call(yGridAxis
.tickSize(width)
.tickFormat("")
);
// Add element to capture mouse events for drag and pan of plots
var zoom = d3.zoom()
.on("zoom", zoomed);
var scrollZoom = innerSvg.append("rect")
.attr("class", "zoom")
.attr("width", width)
.attr("height", height)
.attr("pointer-events", "all") // Defaults to panning with mouse
.call(zoom);
// Mouse panning and scroll-zoom implementation using d3.zoom
// Modification of : http://bl.ocks.org/lorenzopub/013c0c41f9ffab4d27f860127f79c5f5
function zoomed() {
lastEventTransform = d3.event.transform;
// Rescale the grid using the new transform associated with zoom/pan action
svg.select(".x-grid").call(xGridAxis.scale(lastEventTransform.rescaleX(x)));
svg.select(".y-grid").call(yGridAxis.scale(lastEventTransform.rescaleY(y)));
// Calculate transformed x and y locations which are used to redraw all plot elements
var xt = lastEventTransform.rescaleX(x),
yt = lastEventTransform.rescaleY(y);
// Code below just shows how you might do it. Will need to tweak based on your plot
var line = d3.line()
.x(function(d) { return xt(d.x); })
.y(function(d) { return yt(d.y); });
innerSvg.selectAll(".line")
.attr("d", function(d) { return line(d.values); });
innerSvg.selectAll(".dot")
.attr("cx", function(d) {return xt(d.x); })
.attr("cy", function(d) {return yt(d.y); });
}
Here is a worked out example in d3 v4 that inspired my version above:
http://bl.ocks.org/lorenzopub/013c0c41f9ffab4d27f860127f79c5f5

D3 adding donut chart within a tooltip

I'm trying to display a donut chart within a tooltip. I thought it'll be simply just adding the function name or creating the chart within .html() but that isn't the case sadly. Can anyone tell me where i'm going wrong?
Here's my code:
tooltip.select('.label').html(donutChart());
function donutChart(){
var dataset = {
hddrives: [20301672448, 9408258048, 2147483648, 21474836480, 35622912,32212254720],
};
var width = 460,
height = 300,
radius = Math.min(width, height) / 2;
var color = d3.scale.ordinal()
.range(["#2DA7E2"]);
var pie = d3.layout.pie()
.sort(null);
var arc = d3.svg.arc()
.innerRadius(radius - 100)
.outerRadius(radius - 70);
var svg = d3.select("body").append("svg")
.attr("width", width)
.attr("height", height)
.append("g")
.attr("transform", "translate(" + width / 2 + "," + height / 2 + ")");
var path = svg.selectAll("path")
.data(pie(dataset.hddrives))
.enter().append("path")
.attr("class", "arc")
.attr("fill", function(d, i) { return color(i); })
.attr("d", arc);
svg.append("text")
.attr("dy", ".35em")
.style("text-anchor", "middle")
.attr("class", "inside")
.text(function(d) { return 'Test'; });
}
Your function donutChart appends the <svg> to the body, not inside the tooltip.
A solution can be writing this in your .html():
.html("<h1>My Donut Chart</h1><br><svg class='myDonut'></svg>")
And then call your donutChart after that line, remembering to change your var svg:
var svg = d3.select(".myDonut")
Take care for not repeating the same variable names, even if they are inside a function (separate scope)... it can cause unnecessary confusion.

Not able to center D3 pie chart

I'm trying to draw a circle with different data values as angles but for some reason, it's only the last data point that gets the color and display. I've tried to translate the svg but it seems not to budge.
I'm fairly new to D3 so I'm sure I've done something less intelligent without realizing it. As far I could tell, the angles in the g and path elements are as supposed to.
var height = 400, width = 600, radius = Math.min(height, width) / 2;
var colors = ["#red", "pink", "green", "yellow", "blue","magent","brown","olive","orange"];
var data = [1,2,1,2,1,2,1,3,1];
var chart = d3.select("#chart").append("svg")
.attr("width", width).attr("height", height);
chart.append("g")
.attr("transform", "translate(" + width / 2 + "," + height / 2 + ")");
var pie = d3.layout.pie().sort(null).value(function (d) { return d; });
var arc = d3.svg.arc().startAngle(0).innerRadius(0).outerRadius(radius);
var grx = chart.selectAll(".sector").data(pie(data))
.enter().append("g").attr("class", "sector");
grx.append("path")
.attr("d", arc)
.style("fill", function (d, i) {
console.log(d);
return colors[i];
});
The problem is that you're appending all the sectors of the pie to the svg node when they should be appended to the translated g node, you have two options to solve this problem
make chart equal to the translated g node
select g before all the .sectors and store that in grx
The first solution is simpler e.g.
var chart = d3.select("#chart").append("svg")
.attr("width", width).attr("height", height);
.append("g")
.attr("transform", "translate(" + width / 2 + "," + height / 2 + ")");
demo

Is it possible to start a D3JS pie chart with all values being 0?

I'm making a simple tool to display a set of values that are manipulated by the user. I want all the values to start at 0 and when the data is manipulated, to grow from there.
I have everything setup except that I get errors in the console when I start all my values at 0.
Is this possible?
Here's the code I have at the moment (which is working if the values are greater than 0):
var width = this.get('width');
var height = this.get('height');
var radius = Math.min(width, height) / 2;
var color = this.get('chartColors');
var data = this.get('chartData');
var arc = d3.svg.arc()
.outerRadius(radius)
.innerRadius(0);
var pie = d3.layout.pie()
.sort(null)
.value(function(d) { return d.count; });
var id = this.$().attr('id');
var svg = d3.select("#"+id)
.attr("width", width)
.attr("height", height)
.append("g")
.attr("transform", "translate(" + width / 2 + "," + height / 2 + ")");
var g = svg.selectAll("path")
.data(pie(data));
g.enter()
.append("path")
.attr("d", arc)
.each(function(d){ this._current = d; })
.style("fill", function(d, i) { return color[i]; })
.style("stroke", "white")
.style("stroke-width", 2);
The problem is a conceptual one -- if everything is 0, how are you going to draw a pie chart? You could however start with an empty data set and add new data as it becomes greater than zero. That leaves the problem of animating the growth of a pie chart segment from 0 to its desired size.
For this, you can animate the end angle of the pie chart segments starting at the start angle. The easiest way to do this is to copy the corresponding data object and tween the angle:
.each(function(d) {
this._current = JSON.parse(JSON.stringify(d));
this._current.endAngle = this._current.startAngle;
})
.transition().duration(dur).attrTween("d", arcTween);
Random example here.

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