Draw curve between two points using diagonal function in d3 js - d3.js

I'm starting with d3js and trying to make a graph on my own.
I'm trying to draw a curve between two points.
function CreateEdge(nodeId1,nodeId2,edgeLabel)
{
var curveData = [ { "x": 190, "y": 100}, { "x": 260, "y": 50} ];
var edge = d3.select("svg").append('g');
//diagonal function that can draw a curve goes in here
var curve = edge.append("path")
.attr("d", diagonal)
.attr("stroke", "#444")
.attr("stroke-width", 2)
.attr("fill", "none");
}
When i did my research i found some examples using diagonal function to draw curves. like this
Is there a way to use diagonal to draw a simple curve between two known points ? Or is there some alternative methods ?

You can do like this:
var curveData = [{ x: 190, y: 100 }, { x: 360, y: 150 }];
var edge = d3.select('svg').append('g');
var diagonal = d3.svg.diagonal()
.source(function (d) { return { x: d[0].y, y: d[0].x }; })
.target(function (d) { return { x: d[1].y, y: d[1].x }; })
.projection(function (d) { return [d.y, d.x]; });
d3.select('g')
.datum(curveData)
.append('path')
.attr('class', 'link')
.attr('d', diagonal)
.attr('stroke', '#444')
.attr('stroke-width', 2)
.attr('fill', 'none');
<!DOCTYPE html>
<html>
<head>
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.12/d3.js"></script>
</head>
<body>
<svg width=500 height=500></svg>
</body>
</html>

Related

NVD3 - show tick lines only on axes

TLDR: I have an NVD3 graph that shows tick lines all across the axis, but I would like to change it so it only displays on the axis lines if possible.
Here is a live example:
var app = angular.module('plunker', ['nvd3']);
app.controller('MainCtrl', function($scope) {
$scope.options = {
chart: {
type: 'lineChart',
height: 450,
margin : {
top: 20,
right: 20,
bottom: 80,
left: 55
},
x: function(d){ return d.x; },
y: function(d){ return d.y; },
useInteractiveGuideline: true,
xAxis: {
axisLabel: 'Timeline',
tickFormat: function(d) {
return d3.time.format('%B %d')(new Date(d))
},
ticks: 6,
showMaxMin: false
},
yAxis: {
axisLabel: 'Molecular density (kg/m^3)',
tickFormat: function(d){
return d3.format('.02f')(d);
},
axisLabelDistance: -10,
showMaxMin: false
}
}
};
$scope.data = [{"key":"K7 molecules","values":[{"x":1435708800000,"y":8},{"x":1435795200000,"y":9},{"x":1435881600000,"y":8},{"x":1435968000000,"y":8},{"x":1436054400000,"y":9},{"x":1436140800000,"y":9},{"x":1436227200000,"y":8},{"x":1436313600000,"y":8},{"x":1436400000000,"y":9},{"x":1436486400000,"y":9},{"x":1436572800000,"y":7},{"x":1436659200000,"y":8}],"area":true,"color":"#0CB3EE"},{"key":"N41 type C molecules","values":[{"x":1435708800000,"y":8},{"x":1435795200000,"y":7},{"x":1435881600000,"y":8},{"x":1435968000000,"y":9},{"x":1436054400000,"y":7},{"x":1436140800000,"y":9},{"x":1436227200000,"y":8},{"x":1436313600000,"y":9},{"x":1436400000000,"y":9},{"x":1436486400000,"y":9},{"x":1436572800000,"y":9},{"x":1436659200000,"y":8}],"area":true,"color":"#383838"}];
});
<!DOCTYPE html>
<html ng-app="plunker">
<head>
<meta charset="utf-8" />
<title>Angular-nvD3 Line Chart</title>
<script>document.write('<base href="' + document.location + '" />');</script>
<link rel="stylesheet" href="style.css" />
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/nvd3/1.8.1/nv.d3.min.css"/>
<script src="//ajax.googleapis.com/ajax/libs/angularjs/1.3.9/angular.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.6/d3.min.js" charset="utf-8"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/nvd3/1.8.1/nv.d3.min.js"></script>
<script src="https://rawgit.com/krispo/angular-nvd3/v1.0.1/dist/angular-nvd3.js"></script>
<script src="app.js"></script>
</head>
<body ng-controller="MainCtrl">
<nvd3 options="options" data="data" class="with-3d-shadow with-transitions"></nvd3>
</body>
</html>
Is there any way I could make the tick lines appear just on the axes line only? To make it clear, this is what it looks like:
I used a different library to generate the following plot, and I would like the tick lines to appear just on the axis lines like this example instead:
It appears that there is no real way to do this with NVD3 as it does not provide a way to show tick marks on the axis. However, we could add our own tick marks by fetching the chart SVG and then modifying it.
I've attached an example that adds tick marks to X-Axis, and it is basically slightly modified based on this jsfiddle here: http://jsfiddle.net/3r88bgjw
var data;
data = [{
values: [],
}, ];
var i, x;
var prevVal = 3000;
var tickCount = 2000;
for (i = 0; i < tickCount; i++) {
x = 1425096000 + i * 10 * 60; // data points every ten minutes
if (Math.random() < 0.8) { // add some gaps
prevVal += (Math.random() - 0.5) * 500;
if (prevVal <= 0) {
prevVal = Math.random() * 100;
}
data[0].values.push({
x: x * 1000,
y: prevVal
});
}
}
var chart;
nv.addGraph(function() {
chart = nv.models.historicalBarChart();
chart.xScale(d3.time.scale()) // use a time scale instead of plain numbers in order to get nice round default values in the axis
.color(['#68c'])
.useInteractiveGuideline(true) // check out the css that turns the guideline into this nice thing
.margin({
"left": 80,
"right": 50,
"top": 20,
"bottom": 30,
})
.noData("There is no data to display.")
.duration(0);
var tickMultiFormat = d3.time.format.multi([
["%-I:%M%p", function(d) {
return d.getMinutes();
}], // not the beginning of the hour
["%-I%p", function(d) {
return d.getHours();
}], // not midnight
["%b %-d", function(d) {
return d.getDate() != 1;
}], // not the first of the month
["%b %-d", function(d) {
return d.getMonth();
}], // not Jan 1st
["%Y", function() {
return true;
}]
]);
chart.xAxis
.showMaxMin(false)
.tickPadding(10)
.tickFormat(function(d) {
return tickMultiFormat(new Date(d));
});
chart.yAxis
.tickFormat(d3.format(",.0f"));
var svgElem = d3.select('#chart svg');
svgElem
.datum(data)
.transition()
.call(chart);
// make our own x-axis tick marks because NVD3 doesn't provide any
var tickY2 = chart.yAxis.scale().range()[1];
var lineElems = svgElem
.select('.nv-x.nv-axis.nvd3-svg')
.select('.nvd3.nv-wrap.nv-axis')
.select('g')
.selectAll('.tick')
.data(chart.xScale().ticks())
.append('line')
.attr('class', 'x-axis-tick-mark')
.attr('x2', 0)
.attr('y1', tickY2 + 7)
.attr('y2', tickY2)
.attr('stroke-width', 3);
// set up the tooltip to display full dates
var tsFormat = d3.time.format('%b %-d, %Y %I:%M%p');
var contentGenerator = chart.interactiveLayer.tooltip.contentGenerator();
var tooltip = chart.interactiveLayer.tooltip;
tooltip.contentGenerator(function(d) {
d.value = d.series[0].data.x;
return contentGenerator(d);
});
tooltip.headerFormatter(function(d) {
return tsFormat(new Date(d));
});
return chart;
});
<div>Try resizing the panel to see the various types of time labels.</div>
<br>
<div id="chart">
<svg></svg>
</div>
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/nvd3/1.8.4/nv.d3.min.css" />
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.6/d3.min.js" charset="utf-8"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/nvd3/1.8.4/nv.d3.min.js"></script>

How to show images on doughnut chart slice?

I have a project where I need to display a doughnut chart. For every slice in the chart there is a corresponding icon in the legend. This icon should also been shown on the slice itself inside the chart.
I have found a working example online on how to display images on doughnut charts: Working example. I have tried to implement this solution into my own project. The images get loaded in and when I inspect the SVG each path node(slice) contains an image element with the correct image. But the images don't show up on the graph.
This is the code i am running atm. If you have some pointers on how to improve my overall code then you're welcome to do so. I am still new to D3.JS and learning a lot about it at the moment:
<!DOCTYPE html>
<html>
<head>
<title></title>
<script src="https://unpkg.com/vue"></script>
<script src="https://d3js.org/d3.v6.js"></script>
</head>
<body>
<div class="p-3 flex flex-col" id="one">
<div class="w-full flex-1">
<div id="my_dataviz"></div>
</div>
</div>
<script>
new Vue({
el: '#one',
data: {
type: Array,
required: true,
}, mounted() {
// set the dimensions and margins of the graph
var width = 450;
var height = 450;
var margin = 1;
var image_width = 32;
var image_height = 32;
var data = [
{
key: "One",
value: 20,
icon: "http://files.gamebanana.com/img/ico/sprays/4f68c8d10306a.png"
},
{
key: "Two",
value: 30,
icon: "http://files.gamebanana.com/img/ico/sprays/4f68c8d10306a.png"
},
{
key: "Three",
value: 10,
icon: "http://files.gamebanana.com/img/ico/sprays/4f68c8d10306a.png"
},
{
key: "Four",
value: 15,
icon: "http://files.gamebanana.com/img/ico/sprays/4f68c8d10306a.png"
}
]
// The radius of the pieplot is half the width or half the height (smallest one). I subtract a bit of margin.
// append the svg object to the div called 'my_dataviz'
var svg = d3
.select('#my_dataviz')
.append('svg')
.attr('width', width)
.attr('height', height)
.append('g')
.attr(
'transform',
'translate(' + width / 2 + ',' + height / 2 + ')'
);
var radius = Math.min(width, height) / 2 - margin;
// set the color scale
var color = d3
.scaleOrdinal()
.domain(
data.map(function(d) {
return d["key"];
})
)
.range(["#206BF3"]);
// Compute the position of each group on the pie:
var pie = d3.pie().value(function(d) {
return d[1];
});
var data_ready = pie(
data.map(function(d) {
return [d["key"], d["value"], d["icon"]];
})
);
// declare an arc generator function
var arc = d3
.arc()
.outerRadius(100)
.innerRadius(50);
console.log(arc);
// Build the pie chart: Basically, each part of the pie is a path that we build using the arc function.
var paths = svg
.selectAll("whatever")
.data(data_ready)
.enter()
.append("path")
.attr("d", d => {
return arc(d);
})
.attr("fill", function(d) {
return color(d.data[0]);
})
.attr("stroke", "#2D3546")
.style("stroke-width", "2px")
.style("opacity", 0.7);
paths
.append("svg:image")
.attr("transform", function(d) {
var x = arc.centroid(d)[0] - image_width / 2;
var y = arc.centroid(d)[1] - image_height / 2;
return "translate(" + width / 2 + x + "," + height + y + ")";
})
.attr("xlink:href", function(d) {
console.log(d);
return d.data[2];
})
.attr("width", image_width)
.attr("height", image_height);
paths.on("mouseover", e => {
this.pathAnim(radius, d3.select(e.currentTarget), 1);
});
paths.on("mouseout", e => {
var thisPath = d3.select(e.currentTarget);
if (!thisPath.classed("clicked")) {
this.pathAnim(radius, thisPath, 0);
}
});
},
methods: {
pathAnim(radius, path, dir) {
switch (dir) {
case 0:
path
.transition()
.duration(500)
.ease(d3.easeBounce)
.attr(
"d",
d3
.arc()
.innerRadius(100)
.outerRadius(50)
);
path.style("fill", "#206BF3");
break;
case 1:
path.transition().attr(
"d",
d3
.arc()
.innerRadius(50)
.outerRadius(110)
);
path.style("fill", "white");
break;
}
}
}
});
</script>
</body>
</html>
A <path> element cannot contain an <image>. Instead of that, use the data to create <g> elements and append both the <path> and the <image> to them:
<!DOCTYPE html>
<html>
<head>
<title></title>
<script src="https://unpkg.com/vue"></script>
<script src="https://d3js.org/d3.v6.js"></script>
</head>
<body>
<div class="p-3 flex flex-col" id="one">
<div class="w-full flex-1">
<div id="my_dataviz"></div>
</div>
</div>
<script>
new Vue({
el: '#one',
data: {
type: Array,
required: true,
},
mounted() {
// set the dimensions and margins of the graph
var width = 450;
var height = 450;
var margin = 1;
var image_width = 32;
var image_height = 32;
var data = [{
key: "One",
value: 20,
icon: "http://files.gamebanana.com/img/ico/sprays/4f68c8d10306a.png"
},
{
key: "Two",
value: 30,
icon: "http://files.gamebanana.com/img/ico/sprays/4f68c8d10306a.png"
},
{
key: "Three",
value: 10,
icon: "http://files.gamebanana.com/img/ico/sprays/4f68c8d10306a.png"
},
{
key: "Four",
value: 15,
icon: "http://files.gamebanana.com/img/ico/sprays/4f68c8d10306a.png"
}
]
// The radius of the pieplot is half the width or half the height (smallest one). I subtract a bit of margin.
// append the svg object to the div called 'my_dataviz'
var svg = d3
.select('#my_dataviz')
.append('svg')
.attr('width', width)
.attr('height', height)
.append('g')
.attr(
'transform',
'translate(' + width / 2 + ',' + height / 2 + ')'
);
var radius = Math.min(width, height) / 2 - margin;
// set the color scale
var color = d3
.scaleOrdinal()
.domain(
data.map(function(d) {
return d["key"];
})
)
.range(["#206BF3"]);
// Compute the position of each group on the pie:
var pie = d3.pie().value(function(d) {
return d[1];
});
var data_ready = pie(
data.map(function(d) {
return [d["key"], d["value"], d["icon"]];
})
);
// declare an arc generator function
var arc = d3
.arc()
.outerRadius(100)
.innerRadius(50);
// Build the pie chart: Basically, each part of the pie is a path that we build using the arc function.
var g = svg
.selectAll("whatever")
.data(data_ready)
.enter()
.append("g")
.attr("transform", function(d) {
var x = arc.centroid(d)[0] - image_width / 2;
var y = arc.centroid(d)[1] - image_height / 2;
return "translate(" + width / 2 + x + "," + height + y + ")";
});
g.append("path")
.attr("d", d => {
return arc(d);
})
.attr("fill", function(d) {
return color(d.data[0]);
})
.attr("stroke", "#2D3546")
.style("stroke-width", "2px")
.style("opacity", 0.7);
g.append("svg:image")
.attr("transform", function(d) {
var x = arc.centroid(d)[0] - image_width / 2;
var y = arc.centroid(d)[1] - image_height / 2;
return "translate(" + x + "," + y + ")";
})
.attr("xlink:href", function(d) {
return d.data[2];
})
.attr("width", image_width)
.attr("height", image_height);
g.on("mouseover", e => {
this.pathAnim(radius, d3.select(e.currentTarget), 1);
});
g.on("mouseout", e => {
var thisPath = d3.select(e.currentTarget);
if (!thisPath.classed("clicked")) {
this.pathAnim(radius, thisPath, 0);
}
});
},
methods: {
pathAnim(radius, path, dir) {
switch (dir) {
case 0:
path
.transition()
.duration(500)
.ease(d3.easeBounce)
.attr(
"d",
d3
.arc()
.innerRadius(100)
.outerRadius(50)
);
path.style("fill", "#206BF3");
break;
case 1:
path.transition().attr(
"d",
d3
.arc()
.innerRadius(50)
.outerRadius(110)
);
path.style("fill", "white");
break;
}
}
}
});
</script>
</body>
</html>
I've updated #GerardoFurtado's code. I just moved the events to the paths and added pointer-events: none for images. Transitions work well.
g image {
pointer-events: none;
}
<!DOCTYPE html>
<html>
<head>
<title></title>
<script src="https://unpkg.com/vue"></script>
<script src="https://d3js.org/d3.v6.js"></script>
</head>
<body>
<div class="p-3 flex flex-col" id="one">
<div class="w-full flex-1">
<div id="my_dataviz"></div>
</div>
</div>
<script>
new Vue({
el: '#one',
data: {
type: Array,
required: true,
},
mounted() {
// set the dimensions and margins of the graph
var width = 450;
var height = 450;
var margin = 1;
var image_width = 32;
var image_height = 32;
var data = [{
key: "One",
value: 20,
icon: "http://files.gamebanana.com/img/ico/sprays/4f68c8d10306a.png"
},
{
key: "Two",
value: 30,
icon: "http://files.gamebanana.com/img/ico/sprays/4f68c8d10306a.png"
},
{
key: "Three",
value: 10,
icon: "http://files.gamebanana.com/img/ico/sprays/4f68c8d10306a.png"
},
{
key: "Four",
value: 15,
icon: "http://files.gamebanana.com/img/ico/sprays/4f68c8d10306a.png"
}
]
// The radius of the pieplot is half the width or half the height (smallest one). I subtract a bit of margin.
// append the svg object to the div called 'my_dataviz'
var svg = d3
.select('#my_dataviz')
.append('svg')
.attr('width', width)
.attr('height', height)
.append('g')
.attr(
'transform',
'translate(' + width / 2 + ',' + height / 2 + ')'
);
var radius = Math.min(width, height) / 2 - margin;
// set the color scale
var color = d3
.scaleOrdinal()
.domain(
data.map(function(d) {
return d["key"];
})
)
.range(["#206BF3"]);
// Compute the position of each group on the pie:
var pie = d3.pie().value(function(d) {
return d[1];
});
var data_ready = pie(
data.map(function(d) {
return [d["key"], d["value"], d["icon"]];
})
);
// declare an arc generator function
var arc = d3
.arc()
.outerRadius(100)
.innerRadius(50);
// Build the pie chart: Basically, each part of the pie is a path that we build using the arc function.
var g = svg
.selectAll("whatever")
.data(data_ready)
.enter()
.append("g")
/* I commented this lines and nothing changed.
.attr("transform", function(d) {
var x = arc.centroid(d)[0] - image_width / 2;
var y = arc.centroid(d)[1] - image_height / 2;
return "translate(" + width / 2 + x + "," + height + y + ")";
});
*/
g.append("path")
.attr("d", d => {
return arc(d);
})
.attr("fill", function(d) {
return color(d.data[0]);
})
.attr("stroke", "#2D3546")
.style("stroke-width", "2px")
.style("opacity", 0.7)
.on("mouseover", e => {
console.log(this)
this.pathAnim(radius, d3.select(e.currentTarget), 1);
})
.on("mouseout", e => {
var thisPath = d3.select(e.currentTarget);
if (!thisPath.classed("clicked")) {
this.pathAnim(radius, thisPath, 0);
}
});
g.append("svg:image")
.attr("transform", function(d) {
var x = arc.centroid(d)[0] - image_width / 2;
var y = arc.centroid(d)[1] - image_height / 2;
return "translate(" + x + "," + y + ")";
})
.attr("xlink:href", function(d) {
return d.data[2];
})
.attr("width", image_width)
.attr("height", image_height);
},
methods: {
pathAnim(radius, path, dir) {
switch (dir) {
case 0:
path
.transition()
.duration(500)
.ease(d3.easeBounce)
.attr(
"d",
d3
.arc()
.innerRadius(100)
.outerRadius(50)
);
path.style("fill", "#206BF3");
break;
case 1:
path.transition().attr(
"d",
d3
.arc()
.innerRadius(50)
.outerRadius(110)
);
path.style("fill", "white");
break;
}
}
}
});
</script>
</body>
</html>

c3js Multi color design

I've implementing barchart to denote my result set. I am trying to create this design using c3js. I referred the documentation but have not getting the shaded design. Please someone guide me to solve this.
My Code Snippet is,
var chart = c3.generate({
bindto: '#chart',
size : {
width: 600,
height: 200
},
data: {
columns: [
["data1", 40, 20, 20, 20],
["data2", 20, 10, 30, 30]
],
type: 'bar',
groups: [
['data1', 'data2']
],
order: null,
labels: {
format: function(v, id, i, j) {
return v;
}
}
},
bar: {
space: 0.2,
width: {
ratio: 0.2 // this makes bar width 50% of length between ticks
}
},
});
<link href="https://cdnjs.cloudflare.com/ajax/libs/c3/0.3.0/c3.min.css" rel="stylesheet" />
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.4.11/d3.min.js"></script>
<script src="https://ajax.googleapis.com/ajax/libs/jquery/2.1.1/jquery.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/c3/0.3.0/c3.min.js"></script>
<div id="chart"></div>
My requirement is to design like below image in bars in barchart,
Thanks
The solution in the snippet introduces some d3 SVG manipulation which puts a region over the bars of each targeted series. The region has a hatched grey line and a semi-transparent fill. The function to do this is written to be portable i.e. outside of the C3 construtor params, and is invoked by the onrendered c3 event.
The doClone() function duplicates nodes in place which is useful to know, and the creation of the pattern and use as a colour via 'url(#patternid)' is also a potentially useful technique.
Also available at https://codepen.io/JEE42/pen/yRWbvq
function doClone(node){ // clone the given node
return d3.select(node.parentNode.insertBefore(node.cloneNode(true), node.nextSibling));
}
function hatchBars(hatchTargets){ // Place a hatching pattern over the target bars.
for (var i = 0; i < hatchTargets.length; i = i + 1){
d3.select('.c3-bars-' + hatchTargets[i]).each(function(d, i){
d3.select(this).selectAll('path').each(function(d, i){
var node = d3.select(this).node();
var daClone = doClone(node);
daClone
.style('fill', 'url(#hash4_4)')
.style('stroke', 'url(#hash4_4)');
});
})
}
}
c3.chart.internal.fn.afterInit = function () {
d3.select('defs')
.append('pattern')
.attr('id', "hash4_4") // use id to get handle in a moment
.attr('width', 14)
.attr('height', 14)
.attr('patternUnits', "userSpaceOnUse")
.attr('patternTransform', "rotate(45 0 0 )")
.append("rect")
.attr('width', 14)
.attr('height', 14)
.attr('fill', '#00000000') // transparent background
d3.select('#hash4_4') // get the pattenn
.append('line') // add a line
.attr('y2', 14)
.style('stroke', "#00000044") // semi-transparent bars
.attr('stroke-width', 14)
};
//
// Standard C3 chart render with one twist which is the onrendered event call at the end.
//
var chart = c3.generate({
bindto: '#chart',
data: {
columns: [
['data1', -30, 200, 200, 400, -150, 250],
['data2', 130, 100, -100, 200, -150, 50],
],
type: 'bar',
groups: [
['data1', 'data2']
]
},
grid: {
y: {
lines: [{value:0}]
}
},
onrendered: function () { // execute after drawn
hatchBars(['data2']); // Place a hatching pattern over the target bars.
}
});
<link href="https://cdnjs.cloudflare.com/ajax/libs/c3/0.6.7/c3.min.css" rel="stylesheet"/>
<script src="https://ajax.googleapis.com/ajax/libs/jquery/2.1.1/jquery.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/5.7.0/d3.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/c3/0.6.7/c3.min.js"></script>
<div class='chart-wrapper'>
<div class='chat' id="chart"></div>
</div>

Draw a line between points

Another trivial question. I am trying to draw a line between points, here, starting from lineData[0] to lineData[1], and so on. I am getting a very funny looking area rather than a line! Can you please help me.
<!DOCTYPE html>
<html>
<head lang="en">
<meta charset="UTF-8">
<title> Icon </title>
<script type="text/javascript" src="lib/d3/d3.v3.js"></script>
</head>
<body>
<p id="drawing">
<script>
// data is not same as here, just to explain the requirement created it.
var lineData = [{"x": 55, "y": 65},
{"x": 63, "y": 57},
{"x": 157, "y": 57},
{"x": 165, "y": 65}];
var svg = d3.select("#drawing")
.append("svg")
.attr("height", 200)
.attr("width", 200)
.attr("transform", "translate(20, 20)");
var lineFunction = d3.svg.line()
.x(function (d) {
return d.x;
})
.y(function (d) {
return d.y;
})
.interpolate("linear");
svg.append("path")
.attr("d", lineFunction(lineData))
.style("stroke-width", 0.5)
.style("stroke", "rgb(6,120,155)")
.on("mouseover", function () {
d3.select(this)
.style("stroke", "orange");
})
.on("mouseout", function () {
d3.select(this)
.style("stroke", "rgb(6,120,155)");
});
</script>
</body>
</html>
Your issue is that you're drawing a <path>, and you haven't set the path's fill. By default it's black, so you're drawing an object instead. Try removing the fill after appending your <path>:
svg.append("path")
.attr("d", lineFunction(lineData))
.style("stroke-width", 0.5)
.style("stroke", "rgb(6,120,155)")
.style("fill", "none") // <------ add this line
and you get this:

Create a Graduated Symbol Map using D3

I'm trying to create a graduated symbol map and am struggling to find a way to make this happen. I can create pie charts and I can create a symbol map, but how to place pie charts at specific coordinates on a map?
I've successfully placed proportional symbols at the proper coordinates, but I can't figure out how to replace the symbols with pie charts. Every attempt leaves me with an empty map.
I've tried to merge Mike Bostock's Pie Multiples example with his Symbol Map example but have instead only managed to expose my lack of understanding of d3's data and event functions.
Index.html
<!DOCTYPE html>
<html>
<head>
<meta http-equiv="Content-Type" content="text/html;charset=utf-8"/>
<title>Graduated Symbol Map</title>
<script type="text/javascript" src="http://d3js.org/d3.v3.min.js"></script>
<script type="text/javascript" src="http://d3js.org/topojson.v1.min.js"></script>
<script type="text/javascript" src="http://d3js.org/queue.v1.min.js"></script>
<style type="text/css">
body {
text-align: center;
}
</style>
</head>
<body>
<script type="text/javascript">
var width = 400,
height = 500;
var radius = d3.scale.sqrt()
.domain([0, 5e5])
.range([0, 40]);
// Define map projection
var projection = d3.geo.transverseMercator()
.rotate([72.57, -44.20])
.translate([175,190])
.scale([12000]);
// Define path generator
var path = d3.geo.path()
.projection(projection);
// Create SVG Element
var svg = d3.select("body").append("svg")
.attr("width", width)
.attr("height", height);
queue()
.defer(d3.json, "vermont.json")
.defer(d3.json, "fed.json")
.await(ready)
function ready(error, vt, centroid) {
svg.append("path")
.attr("class", "towns")
.datum(topojson.feature(vt, vt.objects.vt_towns))
.attr("d", path)
.style("stroke", "#ddd")
.style("stroke-width", "1px")
.style("fill", "#ccc");
svg.append("path")
.datum(topojson.feature(vt, vt.objects.lake))
.attr("d", path)
.style("stroke", "#89b6ef")
.style("stroke-width", "1px")
.style("fill", "#b6d2f5");
svg.selectAll(".symbol")
.data(centroid.features.sort(function(a,b) {
return b.properties.dollars - a.properties.dollars; }))
.enter().append("path")
.attr("class", "symbol")
.attr("d", path.pointRadius(function(d) {
return radius(d.properties.dollars); })
)
.style("fill", "#509e2f")
.style("stroke", "#ddd")
.style("fill-opacity", 0.7);
}
</script>
</body>
</html>
fed.json (there are 14 points, all with the same format)
'dollars' are the total dollars spent by the four organizations, the size of the pie chart should relate to this value.
{
"type": "Feature",
"id": "53",
"geometry": {
"type": "Point",
"coordinates": [-73.1349605, 43.0278745]
},
"properties": {
"name": "Bennington County",
"dollars": 79730,
"unit": "county",
"ECP": 49608,
"LIP": 3451,
"NAP": 0,
"SURE": 26671
}
},
vermont.json
Large file, map is not the issue.
References I've used
http://mbostock.github.io/protovis/ex/symbol.html
http://bl.ocks.org/mbostock/1305111
http://bl.ocks.org/mbostock/4342045
Here's my solution, using #LarsKotthoff's answer from this question to solve the projection issue.
I've scaled the pie charts in a rather hackish way.
index.html
Below is just the ready function. Everything else has remained unchanged.
function ready(error, vt, centroid) {
svg.append("path")
.attr("class", "towns")
.datum(topojson.feature(vt, vt.objects.vt_towns))
.attr("d", path)
.style("stroke", "#ddd")
.style("stroke-width", "1px")
.style("fill", "#ccc");
svg.append("path")
.datum(topojson.feature(vt, vt.objects.lake))
.attr("d", path)
.style("stroke", "#89b6ef")
.style("stroke-width", "1px")
.style("fill", "#b6d2f5");
var pieArray = [],
pieMeta = [];
function pieData() {
for (var i=0; i<centroid.features.length; i++) {
pieArray.push([
parseInt(centroid.features[i].properties.ECP),
parseInt(centroid.features[i].properties.LIP),
parseInt(centroid.features[i].properties.NAP),
parseInt(centroid.features[i].properties.SURE)
]);
pieMeta.push([
projection(centroid.features[i].geometry.coordinates),
radius(parseInt(centroid.features[i].properties.dollars))
]);
}
return [pieArray, pieMeta];
};
var svgSvg = d3.select("body").select("svg").selectAll("g")
.data(pieData()[0])
.enter().append("svg:svg")
.attr("width", width)
.attr("height", height)
.append("svg:g")
.style("opacity", 0.8)
.attr("property", function (d,i) {
return pieData()[1][i][1];
})
.attr("transform", function (d,i) {
var coordinates = pieData()[1][i][0];
return ("translate(" + (coordinates[0]) + "," +
(coordinates[1]) + ")");
});
svgSvg.selectAll("path")
.data(d3.layout.pie())
.enter().append("svg:path")
.attr("d", d3.svg.arc()
.innerRadius(0)
.outerRadius(function (d) {
var chartList = d3.select(this.parentNode).attr("property");
return chartList;
}))
.style("fill", function(d, i) { return color[i]; });
}

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