Related
I am working with D3 voronoi. I have several lines and would like to have only one of them have a specific color, while all the others have a different color. I have tried using an if statement, but to no avail. Below is my code:
Style:
.axis--y path {
display: none;
fill: none;
stroke: #17BED5;
stroke-width: 1.0;
}
.axis--y line {
stroke: lightgrey;
opacity: 1
}
.cities {
fill: none;
stroke: #000000;
stroke-linejoin: round;
stroke-linecap: round;
stroke-width: 1px;
}
.city--hover {
stroke: #4575b4;
stroke-width: 2px;
}
.focus text {
text-anchor: middle;
text-shadow: 0 1px 0 #fff, 1px 0 0 #fff, 0 -1px 0 #fff, -1px 0 0 #fff;
}
.voronoi path {
fill: none;
pointer-events: all;
}
.voronoi--show path {
stroke: red;
stroke-opacity: 0.2;
}
#form {
position: absolute;
top: 20px;
right: 30px;
}
</style>
JavaScript:
var years,
yearKeys,
yearParse = d3.timeParse("%Y");
//Sets out the margins of the chart frm the edges of the page/screen.
var svg = d3.select("svg"),
margin = {top: 20, right: 30, bottom: 30, left: 40},
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 + ")");
//Now we define the x and y axes and their respective scales. X will be the date, and y will be the unemployment rates.
var x = d3.scaleTime()
.range([0, width]);
var y = d3.scaleLinear()
.range([height, 0]);
var voronoi = d3.voronoi()
.x(function(d) {
return x(d.date); })
.y(function(d) {
return y(d.value); })
.extent([[-margin.left, -margin.top], [width + margin.right, height + margin.bottom]]);
//And we set out the values of our lines.
var line = d3.line()
.x(function(d) {
return x(d.date); })
.y(function(d) {
return y(d.value); });
//Now we call our chart.
d3.csv("data/eloVoronoi.csv", type, function(error, data) {
if (error) throw error;
x.domain(d3.extent(years));
y.domain([1500, d3.max(data, function(c) {
return d3.max(c.values, function(d) {
return d.value; }); })]).nice();
//We tell the computer that we want our x-axis to be at the bottom.
g.append("g")
.attr("class", "axis axis--x")
.attr("transform", "translate(0," + height + ")")
.call(d3.axisBottom(x));
//And the y axis on the left, with some style attributes.
g.append("g")
.attr("class", "axis axis--y")
.call(d3.axisLeft(y)
.ticks(6)
.tickSize(-width))
.append("text")
.attr("transform", "rotate(360)")
.attr("x", 4)
.attr("y", -14)
.attr("dy", "1em")
.style("text-anchor", "start")
.style("fill", "black")
.style("font-weight", "bold")
.text("Elo Rating");
g.append("g")
.attr("class", "cities")
.selectAll("path")
.data(data)
.enter().append("path")
.attr("d", function(d) { d.line = this;
return line(d.values); });
var focus = g.append("g")
.attr("transform", "translate(-100,-100)")
.attr("class", "focus");
focus.append("circle")
.attr("r", 3.5);
focus.append("text")
.attr("y", -10);
//This is where we group all the vornoi together so tht we can apply the mouseovers all together, instead of one by one.
var voronoiGroup = g.append("g")
.attr("class", "voronoi");
//The mouseovers/outs.
voronoiGroup.selectAll("path")
.data(voronoi.polygons(d3.merge(data.map(function(d) {
return d.values; }))))
.enter().append("path")
.attr("d", function(d) {
return d ? "M" + d.join("L") + "Z" : null; })
.on("mouseover", mouseover)
.on("mouseout", mouseout);
//
d3.select("#show-voronoi")
.property("disabled", false)
.on("change", function() { voronoiGroup.classed("voronoi--show", this.checked); });
//Helper function to assist in the mouseover.
function mouseover(d) {
d3.select(d.data.city.line).classed("city--hover", true);
d.data.city.line.parentNode.appendChild(d.data.city.line);
focus.attr("transform", "translate(" + x(d.data.date) + "," + y(d.data.value) + ")");
focus.select("text").text(d.data.city.name);
}
//And a helper function for the mouseout.
function mouseout(d) {
d3.select(d.data.city.line).classed("city--hover", false);
focus.attr("transform", "translate(-100,-100)");
}
});
//Now we use an if statement to call our chart onto the page.
function type(d, i, columns) {
if (!years) yearKeys = columns.slice(1), years = yearKeys.map(yearParse);
var c = {name: d.name.replace(/ (msa|necta div|met necta|met div)$/i, ""), values: null};
c.values = yearKeys.map(function(k, i) {
return {city: c, date: years[i], value: d[k] / 1}; });
return c;
}
Here is a parallel coordinate with some sample data
http://plnkr.co/edit/dCNuBsaDNBwr7CrAJUBe?p=preview
Here the numerical axis like column1 , column3 have small number of data so it looks ok. But in practice, I have a big data (something like 600 entries), so numerical ticks in axis become clustered , overlapped.
Is there a way so that it looks good. Like Setting the number of ticks in parallel coordinate. For instance, if I want to change the number of ticks in column1 of this example from 10 to 5.
Any help would be appreciated.
Thanks
<!DOCTYPE html>
<meta charset="utf-8">
<style>
svg {
font: 10px sans-serif;
}
.background path {
fill: none;
stroke: #ddd;
stroke-opacity: .4;
shape-rendering: crispEdges;
}
.foreground path {
fill: none;
stroke: steelblue;
stroke-opacity: .7;
}
.brush .extent {
fill-opacity: .3;
stroke: #fff;
shape-rendering: crispEdges;
}
.axis line,
.axis path {
fill: none;
stroke: #000;
shape-rendering: crispEdges;
}
.axis text {
text-shadow: 0 1px 0 #fff, 1px 0 0 #fff, 0 -1px 0 #fff, -1px 0 0 #fff;
cursor: move;
}
</style>
<body>
<script src="http://d3js.org/d3.v4.min.js"></script>
<script>
var margin = {top: 30, right: 10, bottom: 10, left: 10},
width = 600 - margin.left - margin.right,
height = 200 - margin.top - margin.bottom;
var x = d3.scalePoint().rangeRound([0, width]).padding(1),
y = {},
dragging = {};
var line = d3.line(),
//axis = d3.axisLeft(x),
background,
foreground,
extents;
var container = d3.select("body").append("div")
.attr("class", "parcoords")
.style("width", width + margin.left + margin.right + "px")
.style("height", height + margin.top + margin.bottom + "px");
var svg = container.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 + ")");
var quant_p = function(v){return (parseFloat(v) == v) || (v == "")};
d3.json("convertcsv.json", function(error, cars) {
dimensions = d3.keys(cars[0]);
x.domain(dimensions);
dimensions.forEach(function(d) {
var vals = cars.map(function(p) {return p[d];});
if (vals.every(quant_p)){
y[d] = d3.scaleLinear()
.domain(d3.extent(cars, function(p) {
return +p[d]; }))
.range([height, 0])
console.log(y[d]);
}
else{
vals.sort();
y[d] = d3.scalePoint()
.domain(vals.filter(function(v, i) {return vals.indexOf(v) == i;}))
.range([height, 0],1);
}
})
extents = dimensions.map(function(p) { return [0,0]; });
// Add grey background lines for context.
background = svg.append("g")
.attr("class", "background")
.selectAll("path")
.data(cars)
.enter().append("path")
.attr("d", path);
// Add blue foreground lines for focus.
foreground = svg.append("g")
.attr("class", "foreground")
.selectAll("path")
.data(cars)
.enter().append("path")
.attr("d", path);
// Add a group element for each dimension.
var g = svg.selectAll(".dimension")
.data(dimensions)
.enter().append("g")
.attr("class", "dimension")
.attr("transform", function(d) { return "translate(" + x(d) + ")"; })
.call(d3.drag()
.subject(function(d) { return {x: x(d)}; })
.on("start", function(d) {
dragging[d] = x(d);
background.attr("visibility", "hidden");
})
.on("drag", function(d) {
dragging[d] = Math.min(width, Math.max(0, d3.event.x));
foreground.attr("d", path);
dimensions.sort(function(a, b) { return position(a) - position(b); });
x.domain(dimensions);
g.attr("transform", function(d) { return "translate(" + position(d) + ")"; })
})
.on("end", function(d) {
delete dragging[d];
transition(d3.select(this)).attr("transform", "translate(" + x(d) + ")");
transition(foreground).attr("d", path);
background
.attr("d", path)
.transition()
.delay(500)
.duration(0)
.attr("visibility", null);
}));
// Add an axis and title.
var g = svg.selectAll(".dimension");
g.append("g")
.attr("class", "axis")
.each(function(d) { d3.select(this).call(d3.axisLeft(y[d]));})
//text does not show up because previous line breaks somehow
.append("text")
.attr("fill", "black")
.style("text-anchor", "middle")
.attr("y", -9)
.text(function(d) { return d; });
// Add and store a brush for each axis.
g.append("g")
.attr("class", "brush")
.each(function(d) {
if(y[d].name == 'r'){
// console.log(this);
d3.select(this).call(y[d].brush = d3.brushY().extent([[-8, 0], [8,height]]).on("brush start", brushstart).on("brush", go_brush).on("brush", brush_parallel_chart).on("end", brush_end));
}
else if(y[d].name == 'n')
d3.select(this).call(y[d].brush = d3.brushY().extent([[-8, 0], [15,height]]).on("brush start", brushstart).on("brush", go_brush).on("brush", brush_parallel).on("end", brush_end_ordinal));
})
.selectAll("rect")
.attr("x", -8)
.attr("width", 16);
}); // closing
function position(d) {
var v = dragging[d];
return v == null ? x(d) : v;
}
function transition(g) {
return g.transition().duration(500);
}
// Returns the path for a given data point.
function path(d) {
return line(dimensions.map(function(p) { return [position(p), y[p](d[p])]; }));
}
function go_brush() {
d3.event.sourceEvent.stopPropagation();
}
invertExtent = function(y) {
return domain.filter(function(d, i) { return y === range[i]; });
};
function brushstart(selectionName) {
foreground.style("display", "none")
//console.log(selectionName);
var dimensionsIndex = dimensions.indexOf(selectionName);
//console.log(dimensionsIndex);
extents[dimensionsIndex] = [0, 0];
foreground.style("display", function(d) {
return dimensions.every(function(p, i) {
if(extents[i][0]==0 && extents[i][0]==0) {
return true;
}
return extents[i][1] <= d[p] && d[p] <= extents[i][0];
}) ? null : "none";
});
}
// Handles a brush event, toggling the display of foreground lines.
function brush_parallel_chart() {
for(var i=0;i<dimensions.length;++i){
if(d3.event.target==y[dimensions[i]].brush) {
//if (d3.event.sourceEvent.type === "brush") return;
extents[i]=d3.event.selection.map(y[dimensions[i]].invert,y[dimensions[i]]);
}
}
foreground.style("display", function(d) {
return dimensions.every(function(p, i) {
if(extents[i][0]==0 && extents[i][0]==0) {
return true;
}
return extents[i][1] <= d[p] && d[p] <= extents[i][0];
}) ? null : "none";
});
}
function brush_end(){
if (!d3.event.sourceEvent) return; // Only transition after input.
if (!d3.event.selection) return; // Ignore empty selections.
for(var i=0;i<dimensions.length;++i){
if(d3.event.target==y[dimensions[i]].brush) {
extents[i]=d3.event.selection.map(y[dimensions[i]].invert,y[dimensions[i]]);
extents[i][0] = Math.round( extents[i][0] * 10 ) / 10;
extents[i][1] = Math.round( extents[i][1] * 10 ) / 10;
d3.select(this).transition().call(d3.event.target.move, extents[i].map(y[dimensions[i]]));
}
}
}
// brush for ordinal cases
function brush_parallel() {
for(var i=0;i<dimensions.length;++i){
if(d3.event.target==y[dimensions[i]].brush) {
var yScale = y[dimensions[i]];
var selected = yScale.domain().filter(function(d){
// var s = d3.event.target.extent();
var s = d3.event.selection;
return (s[0] <= yScale(d)) && (yScale(d) <= s[1])
});
var temp = selected.sort();
extents[i] = [temp[temp.length-1], temp[0]];
}
}
foreground.style("display", function(d) {
return dimensions.every(function(p, i) {
if(extents[i][0]==0 && extents[i][0]==0) {
return true;
}
//var p_new = (y[p].ticks)?d[p]:y[p](d[p]);
//return extents[i][1] <= p_new && p_new <= extents[i][0];
return extents[i][1] <= d[p] && d[p] <= extents[i][0];
}) ? null : "none";
});
}
function brush_end_ordinal(){
console.log("hhhhh");
if (!d3.event.sourceEvent) return; // Only transition after input.
if (!d3.event.selection) return; // Ignore empty selections.
for(var i=0;i<dimensions.length;++i){
if(d3.event.target==y[dimensions[i]].brush) {
var yScale = y[dimensions[i]];
var selected = yScale.domain().filter(function(d){
// var s = d3.event.target.extent();
var s = d3.event.selection;
return (s[0] <= yScale(d)) && (yScale(d) <= s[1])
});
var temp = selected.sort();
extents[i] = [temp[temp.length-1], temp[0]];
if(selected.length >1)
d3.select(this).transition().call(d3.event.target.move, extents[i].map(y[dimensions[i]]));
}
}
}
</script>
You can either use d3-axis.ticks() or d3-axis.tickValues([]) to specify custom number of ticks/tick values.
For example, for column1 using tickValues and column3 using ticks:
var g = svg.selectAll(".dimension");
g.append("g")
.attr("class", "axis")
.each(function(d) {
if(d === 'column1') {
d3.select(this).call(d3.axisLeft(y[d]).tickValues([.1, .2, .3, .5,.8]));
} else if(d === 'column3') {
d3.select(this).call(d3.axisLeft(y[d]).ticks(4));
} else {
d3.select(this).call(d3.axisLeft(y[d]));
}
})
A fork of your plunkr: TickValues and ticks DEMO
Hope this helps. Read the docs for more options.
I am a newbie in d3, the following is my input json file,
{
"y_axis_list":["A","B","C","D","E","F","G"],
"Points":[
{
"y": "A",
"x": 10,
"Persona":["link1"]
},
{
"y" : "B",
"x": 20,
"Persona":["link2","link1"]
},
{
"y" : "C",
"x": 30,
"Persona":["link2","link3"]
},
{
"y" : "D",
"x": 40,
"Persona":["link2","link3"]
},
{
"y" : "E",
"x" : 50,
"Persona":["link5","link6"]
},
{
"y" : "F",
"x" : 60,
"Persona":["link7","link8"]
},
{
"y" : "G",
"x" : 70,
"Persona":["link9","link10"]
}
]
}
the following is my code:
<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8" />
<meta http-equiv="X-UA-Compatible" content="IE=edge"/>
<title>D3 v4 - linechart</title>
<style>
#graph {
width: 900px;
height: 500px;
}
.tick line {
stroke-dasharray: 2 2 ;
stroke: #ccc;
}
.x{
display: none;
}
.y path{
fill: none;
stroke: none;
/* set the CSS */
}
.line {
fill: none;
stroke: steelblue;
stroke-width: 2px;
}
div.tooltip {
position: absolute;
text-align: center;
width: 60px;
height: 28px;
padding: 2px;
font: 12px sans-serif;
background: lightsteelblue;
border: 0px;
border-radius: 8px;
pointer-events: none;
}
</style>
</head>
<body>
<div id="graph"></div>
<script src="https://d3js.org/d3.v4.min.js"></script>
<script>
!(function(){
"use strict"
var width,height
var chartWidth, chartHeight
var margin
var svg = d3.select("#graph").append("svg")
var axisLayer = svg.append("g").classed("axisLayer", true)
var chartLayer = svg.append("g").classed("chartLayer", true)
var xScale = d3.scaleLinear()
var yScale = d3.scalePoint()
var align = 0
var i=10;
//d3.tsv("data1.tsv", cast, main)
d3.json("http://localhost/newest.json",cast)
//データの方変換
function cast(datafull) {
console.log("got it");
var data=datafull["Points"];enter code here
data.forEach(function(data) {
console.log(data.y);
data.y = data.y;
data.x = +data.x;
});
main(data,datafull);
}
function main(data,datafull) {
console.log("in main");
setSize(data,datafull)
drawAxis()
drawChart(data,datafull)
}
function setSize(data,datafull) {
width = document.querySelector("#graph").clientWidth
height = document.querySelector("#graph").clientHeight
margin = {top:40, left:100, bottom:40, right:0 }
chartWidth = width - (margin.left+margin.right+8)
chartHeight = height - (margin.top+margin.bottom)
svg.attr("width", width).attr("height", height)
axisLayer.attr("width", width).attr("height", height)
chartLayer
.attr("width", chartWidth)
.attr("height", chartHeight)
.attr("transform", "translate("+[margin.left, margin.top]+")")
xScale.domain([0, d3.max(data, function(d) { return d.x; })]).range([0,chartWidth])
yScale.domain(datafull["y_axis_list"]).range([chartHeight, 0]).align(1)
}
function drawChart(data,datafull) {
console.log("in drawChart");
var t = d3.transition()
.duration(4000)
.ease(d3.easeLinear)
.on("start", function(d){ console.log("transiton start") })
.on("end", function(d){ console.log("transiton end") });
// var tooltip = d3.tip().attr('class', 'd3-tip').html(function(d) { return 10; });
var div = d3.select("body").append("div")
.attr("class", "tooltip")
.style("opacity", 0);
var lineGen = d3.line()
.x(function(d) { i=i+50;console.log(i); return xScale(d.x); })
.y(function(d) { return yScale(d.y) })
.curve(d3.curveStepAfter)
var line = chartLayer.selectAll(".line")
.data([data])
line.enter().append("path").classed("line", true)
.merge(line)
.attr("d", lineGen)
.attr("fill", "none")
.attr("stroke", "blue")
.attr("stroke-width","2px")
.attr("stroke-dasharray", function(d){ return this.getTotalLength() })
.attr("stroke-dashoffset", function(d){ return this.getTotalLength() })
chartLayer.selectAll(".line").transition(t)
.attr("stroke-dashoffset", 0)
var img = chartLayer.selectAll('image')
.data(data)
.enter()
.append('image')
.attr("class","logo")
.attr("xlink:href", "http://localhost/whatsapp-logo.jpg" )
.attr("x", function(d,i){ return xScale(d.x+5/2) })
.attr("y", function(d,i){ return yScale(d.y) })
.attr("width", 16)
.attr("height", 16)
.style("opacity",0);
img.transition().delay(4000).duration(500).ease(d3.easeLinear).style("opacity",1);
img.on("mouseover", function(d) {
div.transition()
.duration(200)
.style("opacity", .9);
div.html("Persona people" + "<br/>" + d.x)
.style("left", (d3.event.pageX) + "px")
.style("top", (d3.event.pageY - 28) + "px");
})
.on("mouseout", function(d) {
div.transition()
.duration(500)
.style("opacity", 0);
});
chartLayer.selectAll("circle").classed("circle",true)
.data(data)
.enter().append("circle")
.attr("class", "circle")
.attr("fill","none")
.attr("stroke","black")
.attr("cx", function(d) { return xScale(d.x); })
.attr("cy", function(d) { return yScale(d.y); })
.attr("r", 4)
}
function drawAxis(){
var yAxis = d3.axisLeft(yScale)
.tickSizeInner(-chartWidth)
axisLayer.append("g")
.attr("transform", "translate("+[margin.left, margin.top]+")")
.attr("class", "axis y")
.call(yAxis);
var xAxis = d3.axisBottom(xScale)
axisLayer.append("g")
.attr("class", "axis x")
.attr("transform", "translate("+[margin.left, chartHeight+margin.top]+")")
.call(xAxis);
}
function update(){
}
}());
</script>
</body>
</html>
I want the images given in the persona list to appear in the same line as that of the y coordinate in the json with x-axis changing minutely. The links are the links to images which are to be loaded.
I went through a lot of questions, but I was not able to figure out the method to do that.
My current output is given below.
Now there is one image in each line, I want the number of images in persona list (input json) to appear in each of the corresponding lines.
Rewrite your img variable this way (pay attention to the comments):
var img = chartLayer
.selectAll('g')
.data(data)
.enter()
.append('g') // append g element, here we will be append image as child
.attr("transform", function(d, i) {
var x = xScale(d.x + 5 / 2);
var y = yScale(d.y);
return 'translate(' + x + ', ' + y + ')'
})
.selectAll('image')
.data(function(d) { // here we format data as we need
return d.Persona.map(function(icon, index) {
return {
icon: icon,
tooltipText: d.Text[index] // set tooltip text
}
})
})
.enter()
.append('image') // append image element
.attr("class", "logo")
.attr("xlink:href", function(d) { // set appropriate href attribute
return d.icon;
})
.attr("x", function(d, i) { // move image by index
return 20 * i;
})
.attr("width", 16)
.attr("height", 16)
.style("opacity", 0);
...
img.on("mouseover", function(d) {
div.transition()
.duration(200)
.style("opacity", .9);
div.html("Persona people" + "<br/>" + d.tooltipText) // get tooltip text
.style("left", (d3.event.pageX) + "px")
.style("top", (d3.event.pageY - 28) + "px");
})
...
Look at the working example - https://jsfiddle.net/levsha/og92k0gv/
I have a parallel coordinate chart. I want to display a legend. From the example from Bostock's website, I wrote something similar. But, I can only see the colours of the lines being shown and not the text.
The text is being returned correctly as well.
What am I performing incorrectly ?
Here is my code:
<!DOCTYPE html>
<meta charset="utf-8">
<style>
svg {
font: 10px sans-serif;
}
.background path {
fill: none;
stroke: #ddd;
shape-rendering: crispEdges;
}
.foreground path {
fill: none;
stroke: steelblue;
}
.brush .extent {
fill-opacity: .3;
stroke: #fff;
shape-rendering: crispEdges;
}
.axis line,
.axis path {
fill: none;
stroke: #000;
shape-rendering: crispEdges;
}
.axis text {
text-shadow: 0 1px 0 #fff, 1px 0 0 #fff, 0 -1px 0 #fff, -1px 0 0 #fff;
cursor: move;
}
.legend rect {
fill:white;
stroke:black;
opacity:0.8;}
</style>
<body>
<div style="width:1140px; height:550px;margin-left:50px;margin-top:50px;" id="chartDiv"></div>
<script src="http://d3js.org/d3.v3.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3-legend/1.5.0/d3-legend.js"></script>
<script>
var margin = {top: 30, right: 10, bottom: 10, left: 10},
width = 960 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
var x = d3.scale.ordinal().rangePoints([0, width], 1),
y = {},
dragging = {};
var line = d3.svg.line(),
axis = d3.svg.axis().orient("left"),
background,
foreground;
var svg = d3.select("#chartDiv").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 + ")");
var color = d3.scale.ordinal()
.domain(['white','other','african-american','hispanic','asian/pacific islander'])
.range(['#ffae19','#4ca64c','#4682B4','#737373', '#ff4c4c']);
d3.csv("SurvivalProbability.csv", function(error, cars) {
// Extract the list of dimensions and create a scale for each.
x.domain(dimensions = d3.keys(cars[0]).filter(function(d) {
if(d === "Ethnicity") {
y[d] = d3.scale.ordinal()
.domain(cars.map(function(p) { return p[d]; }))
.rangePoints([height, 0]);
}
else if(d === "Site") {
y[d] = d3.scale.ordinal()
.domain(cars.map(function(p) { return p[d]; }))
.rangePoints([height, 0]);
}
else if(d === "Tcategory") {
y[d] = d3.scale.ordinal()
.domain(cars.map(function(p) { return p[d]; }))
.rangePoints([height, 0]);
}
else if(d === "Nodal_Disease") {
y[d] = d3.scale.ordinal()
.domain(cars.map(function(p) { return p[d]; }))
.rangePoints([height, 0]);
}
else if(d === "Chemotherapy") {
y[d] = d3.scale.ordinal()
.domain(cars.map(function(p) { return p[d]; }))
.rangePoints([height, 0]);
}
else if(d === "Local_Therapy") {
y[d] = d3.scale.ordinal()
.domain(cars.map(function(p) { return p[d]; }))
.rangePoints([height, 0]);
}
else {
y[d] = d3.scale.linear()
.domain(d3.extent(cars, function(p) { return +p[d]; }))
.range([height, 0]);
}
return true;
}));
// Add grey background lines for context.
background = svg.append("g")
.attr("class", "background")
.selectAll("path")
.data(cars)
.enter().append("path")
.attr("d", path);
// Add blue foreground lines for focus.
/*foreground = svg.append("g")
.attr("class", "foreground")
.selectAll("path")
.data(cars)
.enter().append("path")
.attr("d", path);*/
foreground = svg.append("g")
.attr("class", "foreground")
.selectAll("path")
.data(cars)
.enter().append("path")
.attr("d", path)
.style("stroke", function(d) {
return color(d.Ethnicity);
})
// Add a group element for each dimension.
var g = svg.selectAll(".dimension")
.data(dimensions)
.enter().append("g")
.attr("class", "dimension")
.attr("transform", function(d) { return "translate(" + x(d) + ")"; })
.call(d3.behavior.drag()
.origin(function(d) { return {x: x(d)}; })
.on("dragstart", function(d) {
dragging[d] = x(d);
background.attr("visibility", "hidden");
})
.on("drag", function(d) {
dragging[d] = Math.min(width, Math.max(0, d3.event.x));
foreground.attr("d", path);
dimensions.sort(function(a, b) { return position(a) - position(b); });
x.domain(dimensions);
g.attr("transform", function(d) { return "translate(" + position(d) + ")"; })
})
.on("dragend", function(d) {
delete dragging[d];
transition(d3.select(this)).attr("transform", "translate(" + x(d) + ")");
transition(foreground).attr("d", path);
background
.attr("d", path)
.transition()
.delay(500)
.duration(0)
.attr("visibility", null);
}));
// Add an axis and title.
g.append("g")
.attr("class", "axis")
.each(function(d) { d3.select(this).call(axis.scale(y[d])); })
.append("text")
.style("text-anchor", "middle")
.attr("y", -9)
.text(function(d) { return d; });
// Add and store a brush for each axis.
g.append("g")
.attr("class", "brush")
.each(function(d) {
d3.select(this).call(y[d].brush = d3.svg.brush().y(y[d]).on("brushstart", brushstart).on("brush", brush));
})
.selectAll("rect")
.attr("x", -8)
.attr("width", 16);
var legendRectSize = 10;
var legendSpacing = 100;
var legend = d3.select('svg')
.append("g")
.selectAll("g")
.data(color.domain())
.enter()
.append('g')
.attr('class', 'legend')
.attr('transform', function(d, i) {
var height = legendRectSize;
var x = 925;
var y = (i * height) + 50;
return 'translate(' + x + ',' + y + ')';
});
legend.append('rect')
.attr('width', legendRectSize)
.attr('height', legendRectSize)
.style('fill', color)
.style('stroke', color);
legend.append('text')
.attr('x', legendRectSize + legendSpacing)
.attr('y', legendRectSize - legendSpacing)
.text(function(d) { return d; });
});
function position(d) {
var v = dragging[d];
return v == null ? x(d) : v;
}
function transition(g) {
return g.transition().duration(500);
}
// Returns the path for a given data point.
function path(d) {
return line(dimensions.map(function(p) { return [position(p), y[p](d[p])]; }));
}
function brushstart() {
d3.event.sourceEvent.stopPropagation();
}
// Handles a brush event, toggling the display of foreground lines.
function brush() {
var actives = dimensions.filter(function(p) { return !y[p].brush.empty(); }),
extents = actives.map(function(p) { return y[p].brush.extent(); });
foreground.style("display", function(d) {
return actives.every(function(p, i) {
return extents[i][0] <= d[p] && d[p] <= extents[i][1];
}) ? null : "none";
});
}
</script>
The code is correct to show the legend you have to adjust the margin a little.
//rightmargin is set to 200
var margin = {top: 30, right: 200, bottom: 10, left: 10},
and width is like
width = 1100 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
Placement of the legend text as below
var legendRectSize = 10;
var legendSpacing = 10;
var legend = d3.select('svg')
.append("g")
.selectAll("g")
.data(color.domain())
.enter()
.append('g')
.attr('class', 'legend')
.attr('transform', function(d, i) {
var height = legendRectSize;
var x = 900;
var y = (i * height) + 50;
return 'translate(' + x + ',' + y + ')';
});
That all :)
Working code here
Hope this helps!
I am trying to combine two D3 Visualizations. I found a question before, but it did not really have a solution.
When I combine the two files the visualizations overlap and produce this:
the streamgraph component:
<!DOCTYPE html>
<meta charset="utf-8">
<style>
body {
font: 10px sans-serif;
}
.chart {
background: #fff;
}
p {
font: 12px helvetica;
}
.axis path, .axis line {
fill: none;
stroke: #000;
stroke-width: 2px;
shape-rendering: crispEdges;
}
button {
position: absolute;
right: 50px;
top: 10px;
}
</style>
<body>
<script src="http://d3js.org/d3.v3.js"></script>
<div class="chart">
</div>
<script>
chart("Data.csv", "blue");
var datearray = [];
var colorrange = [];
function chart(csvpath, color) {
if (color == "blue") {
colorrange = ["#045A8D", "#2B8CBE", "#74A9CF", "#A6BDDB", "#D0D1E6", "#F1EEF6"];
}
else if (color == "pink") {
colorrange = ["#980043", "#DD1C77", "#DF65B0", "#C994C7", "#D4B9DA", "#F1EEF6"];
}
else if (color == "orange") {
colorrange = ["#B30000", "#E34A33", "#FC8D59", "#FDBB84", "#FDD49E", "#FEF0D9"];
}
strokecolor = colorrange[0];
var format = d3.time.format("%m/%d/%y");
var margin = {top: 20, right: 40, bottom: 30, left: 50};
var width = document.body.clientWidth - margin.left - margin.right;
var height = 400 - margin.top - margin.bottom;
var tooltip = d3.select("body")
.append("div")
.attr("class", "remove")
.style("position", "absolute")
.style("z-index", "20")
.style("visibility", "hidden")
.style("top", "30px")
.style("left", "75px");
var x = d3.time.scale()
.range([0, width]);
var y = d3.scale.linear()
.range([height-10, 0]);
var z = d3.scale.ordinal()
.range(colorrange);
var xAxis = d3.svg.axis()
.orient("bottom")
.scale(x)
.ticks(d3.time.years, 10); //tick on every 10 years
/*.scale(x)
.orient("bottom")
.text(date)
//;*/
//. tickFormat(x)
//. tickValues(date)
//was already there but out of view -> changed the left margin
var yAxis = d3.svg.axis()
.scale(y);
var stack = d3.layout.stack()
.offset("silhouette")
.values(function(d) { return d.values; })
.x(function(d) { return d.date; })
.y(function(d) { return d.value; });
var nest = d3.nest()
.key(function(d) { return d.key; });
var area = d3.svg.area()
.interpolate("cardinal")
.x(function(d) { return x(d.date); })
.y0(function(d) { return y(d.y0); })
.y1(function(d) { return y(d.y0 + d.y); });
var svg = d3.select(".chart").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 + ")");
/* correct this function
var graph = d3.csv(csvpath, function(data) {
data.forEach(function(d) {
d.date = format.parse(d.date);
d.value = +d.value;
});*/
var graph = d3.csv(csvpath, function(raw) {
var data = [];
raw.forEach(function (d) {
data.push({
key: d.Country,
date : new Date(1980,0,1), //I had a bug in creating the right dates
value : parseInt(d['1980-1989'].replace(',','')) //get rid of the thousand separator
});
data.push({
key: d.Country,
date : new Date(1990,0,1),
value : parseInt(d['1990-1999'].replace(',',''))
});
data.push({
key: d.Country,
date : new Date(2000,0,1),
value : parseInt(d['2000-2009'].replace(',','') )
});
});
var layers = stack(nest.entries(data));
x.domain(d3.extent(data, function(d) { return d.date; }));
y.domain([0, d3.max(data, function(d) { return d.y0 + d.y; })]);
svg.selectAll(".layer")
.data(layers)
.enter().append("path")
.attr("class", "layer")
.attr("d", function(d) { return area(d.values); })
.style("fill", function(d, i) { return z(i); });
//adding .text causes axis to dissapear
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
//.text(date)
.call(xAxis);
svg.append("g")
.attr("class", "y axis")
.attr("transform", "translate(" + width + ", 0)")
//.text(value)
.call(yAxis.orient("right"));
svg.append("g")
.attr("class", "y axis")
.call(yAxis.orient("left"));
var pro;
svg.selectAll(".layer")
.attr("opacity", 1)
.on("mouseover", function(d, i) {
svg.selectAll(".layer").transition()
.duration(250)
.attr("opacity", function(d, j) {
return j != i ? 0.6 : 1;
})})
.on("mousemove", function(d, i) {
var mousex = d3.mouse(this);
mousex = mousex[0];
var invertedx = x.invert(mousex);
//find the largest smaller element
var dd = d.values.filter(function(d) { return d.date <= invertedx; });
dd = dd[dd.length -1]; //use the last element
pro = dd.value;
d3.select(this)
.classed("hover", true)
.attr("stroke", strokecolor)
.attr("stroke-width", "0.5px");
tooltip.html( "<p>" + d.key + "<br>" + pro + "</p>" ).style("visibility", "visible");
})
.on("mouseout", function(d, i) {
svg.selectAll(".layer")
.transition()
.duration(250)
.attr("opacity", "1");
d3.select(this)
.classed("hover", false)
.attr("stroke-width", "0px");
tooltip.html( "<p>" + d.key + "<br>" + pro + "</p>" ).style("visibility", "hidden");
})
var vertical = d3.select(".chart")
.append("div")
.attr("class", "remove")
.style("position", "absolute")
.style("z-index", "19")
.style("width", "1px")
.style("height", "380px")
.style("top", "10px")
.style("bottom", "30px")
.style("left", "0px")
.style("background", "#fff");
d3.select(".chart")
.on("mousemove", function(){
var mousex = d3.mouse(this);
mousex = mousex[0] + 5;
vertical.style("left", mousex + "px" )})
.on("mouseover", function(){
var mousex = d3.mouse(this);
mousex = mousex[0] + 5;
vertical.style("left", mousex + "px")});
});
}
</script>
Map component:
<!DOCTYPE html>
<meta charset="utf-8">
<title>U.S Immigration Data Visualization</title>
<style>
.country:hover{
stroke: #fff;
stroke-width: 1.5px;
}
.text{
font-size:10px;
text-transform:capitalize;
}
#container {
margin: 10px 10%;
border:2px solid #000;
border-radius: 5px;
height:100%;
overflow:hidden;
background: #e1eafe;
}
.hidden {
display: none;
}
div.tooltip {
color: #222;
background: #fff;
padding: .5em;
text-shadow: #f5f5f5 0 1px 0;
border-radius: 2px;
box-shadow: 0px 0px 2px 0px #a6a6a6;
opacity: 0.9;
position: absolute;
}
.graticule {
fill: none;
stroke: #bbb;
stroke-width: .5px;
stroke-opacity: .5;
}
.equator {
stroke: #ccc;
stroke-width: 1px;
}
</style>
</head>
<br>
<h1><center>U.S Immigration Data Visualization</center></h1>
<h2><b>Work in Progress</b></h2>
<h3><b>Ex-USSR countries included in Russia</b></h3>
<h3><b>Ex-Yugoslavia included in Macedonia</b></h3>
<div id="container"></div>
<script src="js/d3.min.js"></script>
<script src="js/topojson.v1.min.js"></script>
<script src="http://d3js.org/d3.geo.tile.v0.min.js"></script>
<script>
d3.select(window).on("resize", throttle);
var zoom = d3.behavior.zoom()
.scaleExtent([1, 9])
.on("zoom", move);
var width = document.getElementById('container').offsetWidth;
var height = width / 2;
var topo,projection,path,svg,g;
var graticule = d3.geo.graticule();
var tooltip = d3.select("#container").append("div").attr("class", "tooltip hidden");
setup(width,height);
function setup(width,height){
projection = d3.geo.mercator()
.translate([(width/2), (height/2)])
.scale( width / 2 / Math.PI);
path = d3.geo.path().projection(projection);
svg = d3.select("#container").append("svg")
.attr("width", width)
.attr("height", height)
.call(zoom)
.on("click", click)
.append("g");
g = svg.append("g");
}
d3.json("data/world-topo-min.json", function(error, world) {
var countries = topojson.feature(world, world.objects.countries).features;
topo = countries;
draw(topo);
});
function draw(topo) {
svg.append("path")
.datum(graticule)
.attr("class", "graticule")
.attr("d", path);
g.append("path")
.datum({type: "LineString", coordinates: [[-180, 0], [-90, 0], [0, 0], [90, 0], [180, 0]]})
.attr("class", "equator")
.attr("d", path);
var country = g.selectAll(".country").data(topo);
country.enter().insert("path")
.attr("class", "country")
.attr("d", path)
.attr("id", function(d,i) { return d.id; })
.attr("title", function(d,i) { return d.properties.name; })
.style("fill", function(d, i) { return d.properties.color; });
//offsets for tooltips
var offsetL = document.getElementById('container').offsetLeft+20;
var offsetT = document.getElementById('container').offsetTop+10;
//tooltips
country
.on("mousemove", function(d,i) {
var mouse = d3.mouse(svg.node()).map( function(d) { return parseInt(d); } );
tooltip.classed("hidden", false)
.attr("style", "left:"+(mouse[0]+offsetL)+"px;top:"+(mouse[1]+offsetT)+"px")
.html(d.properties.name);
})
.on("mouseout", function(d,i) {
tooltip.classed("hidden", true);
});
//EXAMPLE: adding some capitals from external CSV file
d3.csv("Data.csv", function(err, capitals) {
capitals.forEach(function(i){
addpoint(i.CapitalLongitude, i.CapitalLatitude );
});
});
}
function redraw() {
width = document.getElementById('container').offsetWidth;
height = width / 2;
d3.select('svg').remove();
setup(width,height);
draw(topo);
}
function move() {
var t = d3.event.translate;
var s = d3.event.scale;
zscale = s;
var h = height/4;
t[0] = Math.min(
(width/height) * (s - 1),
Math.max( width * (1 - s), t[0] )
);
t[1] = Math.min(
h * (s - 1) + h * s,
Math.max(height * (1 - s) - h * s, t[1])
);
zoom.translate(t);
g.attr("transform", "translate(" + t + ")scale(" + s + ")");
//adjust the country hover stroke width based on zoom level
d3.selectAll(".country").style("stroke-width", 1.5 / s);
}
var throttleTimer;
function throttle() {
window.clearTimeout(throttleTimer);
throttleTimer = window.setTimeout(function() {
redraw();
}, 200);
}
//geo translation on mouse click in map
function click() {
var latlon = projection.invert(d3.mouse(this));
console.log(latlon);
}
//function to add points and text to the map (used in plotting capitals)
function addpoint(lat,lon,text) {
var gpoint = g.append("g").attr("class", "gpoint");
var x = projection([lat,lon])[0];
var y = projection([lat,lon])[1];
gpoint.append("svg:circle")
.attr("cx", x)
.attr("cy", y)
.attr("class","point")
.attr("r", 1);
//conditional in case a point has no associated text
//if(text.length>0){
// gpoint.append("text")
// .attr("x", x+2)
// .attr("y", y+2)
// .attr("class","text")
// .text(text);
//}
}
</script>
</body>
</html>
This is hard to answer without the code you actually use when you 'combine' the two SVG elements, and without the data or a working example.
What I've done is take the 2 basic components, the streamgraph (and svg node inside <div class="chart">) and the map (a separate svg node in <div id="container"></div>), and create working code that combines the 2:
http://plnkr.co/edit/WjlObRIasLYXOuEL4HDE?p=preview
This is the basic code:
<body>
<div class="chart">
</div>
<div id="container">
</div>
<script type="text/javascript">
var width = 300;
var height = width / 2;
// Equivalent of streamgraph code...
var svg_stream = d3.select(".chart")
.append("svg")
.attr("width", width)
.attr("height", height)
.append("rect")
... // rect attributes
// Equivalent of map code...
var svg_map = d3.select("#container")
.append("svg")
.attr("width", width)
.attr("height", height)
.append("circle")
... // circle attributes
</script>
</body>
What's inside each svg shouldn't make a difference to the positioning, so I've just used a rect to represent the streamgraph and a circle for the map. I've taken as much of the CSS and code from your snippets as it makes sense to. If you combine the two components as in the example above, you should not see any overlap. I'm not really able to correct your version as I don't know how you did it.
Note - You should also avoid defining duplicate variable names (like var svg for both SVGs) when combining the components