How to do transition as expected with axis in D3 - d3.js

All:
I am pretty new to D3 transition, I wonder how can I not apply length transition on axis tick lines when I switch data?
My code is like:
var data1 = [1,2,3,4]
var data2 = [1,4,8,12]
function draw(data){
var svg = d3.select(".chart svg");
if(svg.empty()){
svg = d3.select(".chart")
.append("svg");
svg.append("g")
.classed("yaxis", true)
}
svg.attr("width", 400)
.attr("height", 300);
var axisg = svg.select("g.yaxis")
.attr("transform", function(){
return "translate(40, 20)";
})
var scale = d3.scale.linear();
scale.domain(d3.extent(data)).range([300-40, 0]);
var axis = d3.svg.axis();
axis.scale(scale).orient("left")/*.ticks(5)*/;
axisg.transition().duration(1500).ease("sin-in-out").call(axis)
.selectAll("line")
.attr("x2", 300-40)
.style("stroke", "black")
.style("stroke-width", "1px");
axisg.select("path").style("fill", "none")
}
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.4.11/d3.min.js"></script>
<button onclick="draw(data1)">Data1</button>
<button onclick="draw(data2)">Data2</button>
<div class="chart"></div>

Related

D3: Rescaling scatter plot elements with Update, without removing elements

I have some rookie question.
I am trying to rescale scatter plot elements (circles along with X axis) based on button click - to create 'zoom in' activity. I am lowering X axis domain for that.
It works very well with Xaxis, however its harder with circles. I must remove all of them and draw them again (the place marked in the code). This makes the process slow when lot of elements involved and also doesn't allow transition which is applied for axis scaling.
Is it possible just to change attributes of circles that i won't need to remove and redraw everything again?
<!DOCTYPE html>
<html lang="en">
<head>
<meta http-equiv="content-type" content="text/html; charset=utf-8" />
<script src="https://d3js.org/d3.v4.min.js"></script>
</head>
<body>
<script>
// Define Canvas size
var width = 500;
var height = 500;
// Generate Toy Data
var randomX = d3.randomUniform(0, 880);
var randomY = d3.randomUniform(0, 800);
data_x = [];
data_y = [];
for (i = 0; i < 10000; i++) {
nume = Math.floor((Math.random() * 100));
data_x.push(nume);
data_y.push(nume);
}
// Scaling Coeffs
var coeffX = 1;
var coeffY = 1;
var coeffR = 1;
var coordX = (Math.max.apply(null, data_x)/coeffX);
var coordy = (Math.max.apply(null, data_y)/coeffY);
var x = d3.scaleLinear()
.domain([0, coordX])
.range([ 0, width]).nice();
var y = d3.scaleLinear()
.domain([0, coordy])
.range([height, 0]).nice();
var yAxis = d3.axisLeft(y).ticks(5);
var xAxis = d3.axisBottom(x).ticks(5)
//Create SVG element
var canvas = d3.select("body")
.append("svg")
.attr("width", width+50)
.attr("height", height+50)
.append("g");
// --------------- Draw Elements ---------------------
var circles = canvas.selectAll("circlepoint")
.data(data_x)
.enter()
.append("g");
circles.append("circle")
.attr("cx",function(d, i){
var tempe = data_x[i];
return x(tempe);
})
.attr("cy", function(d, i){
var tempe = data_y[i];
return y(tempe);
})
.attr("r", function(){
return 3;
})
.style("stroke", "steelblue")
.style("fill", "none")
.attr("transform", "translate(40, -20)");
var xsCont = canvas.append("g")
.attr("transform", "translate(40, " + (height-20) +")")
.attr("class","xaxis")
.call(xAxis);
var ysCont = canvas.append("g")
.attr("transform", "translate(40, -20)")
.call(yAxis);
function rescaleAxisX(tempCoeffX, tempCoeffR){
coordX = (Math.max.apply(null, data_x)/tempCoeffX);
x.domain([0, Math.max.apply(null, data_x)/tempCoeffX])
// -------- This part works well-------
canvas.select(".xaxis")
.transition().duration(750)
.call(xAxis);
// -------- End -------------
// -------- This one doesn't as expected-------
circles.remove();
circles = canvas.selectAll("circlepoint")
.data(data_x)
.enter()
.append("g");
circles.append("circle")
.attr("cx",function(d, i){
var tempe = data_x[i];
return x(tempe);
})
.attr("cy", function(d, i){
var tempe = data_y[i];
return y(tempe);
})
.attr("r", function(d, i){
return tempCoeffR;
})
.style("stroke", "steelblue")
.style("fill", "none")
.attr("transform", "translate(40, -20)");
}
// -------- End -------
// Zoom in button
var buttonZoomPlusX = d3.select("body")
.append("input")
.attr("type","button")
.attr("class","button")
.attr("value", "+")
.on("click", function(){
coeffX = coeffX + 1;
coeffR = coeffR + 1;
rescaleAxisX(coeffX, coeffR);
})
</script>
</body>
</html>
Here is implemented Fiddle
https://jsfiddle.net/sma76ntq/
Thanks a lot in advance

Well it was rookie mistake as always. Two things were missing:
1. Appending some class to circles in order not too select everything on canvas if there were more circles drawn
circles.append("circle")
.attr("cx",function(d, i){
var tempe = data_x[i];
return x(tempe);
})
.attr("cy", function(d, i){
var tempe = data_y[i];
return y(tempe);
//return y(d.y);
})
.attr("r", function(){
return 3;
})
.attr("class","eles")
.style("stroke", "steelblue")
.style("fill", "none")
.attr("transform", "translate(40, -20)");
on redrawn just select classes and change attributes.
canvas.selectAll(".eles").data(data_x)
.transition()
.duration(750)
.attr("cx",function(d, i){
var tempe = data_x[i];
return x(tempe);
})
.attr("cy", function(d, i){
var tempe = data_y[i];
return y(tempe);
});
Working Fiddle here: https://jsfiddle.net/v7q14nbm/1/

D3.js pie chart to show the percentage of sales in each quarter

Using d3.js I want to make a chart showing each item as pie chart displaying the quarterly sale of tickets for different programs
here is the sample picture of chart I want to make,each segment in the chart represents ticket for a program and its percentage of sales in each quarter. Now using this link enter link description here
I have made a graph but which is not exactly the one I needed.Is there any charts available in d3.js to show a graph as I mentioned in the picture or we need to customize it to get a graph like that.

Is there any charts available in d3.js to show a graph as I mentioned
in the picture or we need to customize it to get a graph like that?
No there isn't a ready made solution, d3 as the comment on the question notes is a collection of methods for manipulating the DOM, this allows a great deal of flexibility in creating custom visualizations (users aren't as limited as with many ready-made solutions that only allow defined modifications). Consequently, yes, you can make a chart like that in d3 taking elements and ideas from both scatter plot and pie chart implementations with d3 to make your chart.
This answer shows one approach that could be used in creating such a graph. Ideally it can provide ideas in crafting your own visualization that meets your need.
First, you need a mechanism to make variable sized pie charts and to place them - arguably this is the hardest part (after that you just have a scatter plot that's easier to manipulate). This requires some thought as to data structure, I've used a structure such as:
var data = [
{x:100,y:100,radius:20,slices:[1,5]},
{x:150,y:180,radius:10,slices:[1,2,3,4]},
You could add other properties as needed, all that this does is specify an x and y coordinate for the pie chart center, a radius for the pie chart, and the values of the wedges for each pie chart.
With that, you can append a group element (g) to your svg, one for each pie chart (or item in the data array) using a standard enter cycle in d3, positioning the groups as we go:
var pies = svg.selectAll("g")
.data(data)
.enter()
.append("g")
.property("radius",function(d) { return d.radius; })
.attr("transform",function(d) { return "translate("+d.x+","+d.y+")"; });
Because the data array used to append the wedges themselves will only include the wedge values, we can save the radius property as a property of the group and access that when appending the wedges:
pies.selectAll()
.data(function(d){ return pie(d.slices); })
.enter()
.append("path")
.attr("d",function(d) {
var radius = d3.select(this.parentNode).property("radius");
arc.outerRadius(radius);
return arc(d) })
.attr("fill",function(d,i){
return color[i];
});
A basic example might look like this:
var data = [
{x:100,y:100,radius:20,slices:[1,5]},
{x:150,y:180,radius:10,slices:[1,2,3,4]},
{x:180,y:130,radius:30,slices:[1,2,3,4,5,6,7]},
{x:50,y:50,radius:15,slices:[5,3]},
{x:50,y:180,radius:40,slices:[6,3]}
]
var width = 500;
var height = 300;
var svg = d3.select("body").append("svg")
.attr("width", width)
.attr("height", height);
var arc = d3.arc()
.innerRadius(0)
.outerRadius(50);
var pie = d3.pie()
.sort(null)
.value(function(d) { return d; });
var color = d3.schemeCategory10;
// Append a group for each pie chart, it will store the radius of each pie as a property
var pies = svg.selectAll("g")
.data(data)
.enter()
.append("g")
.property("radius",function(d) { return d.radius; })
.attr("transform",function(d) { return "translate("+d.x+","+d.y+")"; });
// draw each pie wedge, using the slices property of the data bound to the parent g
pies.selectAll()
.data(function(d){ return pie(d.slices); })
.enter()
.append("path")
.attr("d",function(d) {
var radius = d3.select(this.parentNode).property("radius");
arc.outerRadius(radius);
return arc(d) })
.attr("fill",function(d,i){
return color[i];
});
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/4.10.0/d3.min.js"></script>
If you want to set each circle to have it's own color scheme, a few options might be available. If every pie has only two colors, you could assign a fill to the parent group and use the wedge increment to set transparency, creating lighter wedges such as in your image:
var data = [
{x:100,y:100,radius:20,slices:[1,5]},
{x:150,y:180,radius:10,slices:[1,2]},
{x:180,y:130,radius:30,slices:[1,7]},
{x:50,y:50,radius:15,slices:[5,3]}
]
var width = 500;
var height = 300;
var svg = d3.select("body").append("svg")
.attr("width", width)
.attr("height", height);
var arc = d3.arc()
.innerRadius(0)
.outerRadius(50);
var pie = d3.pie()
.sort(null)
.value(function(d) { return d; });
var color = ["steelblue","orange","pink","crimson"]
// Append a group for each pie chart, it will store the radius of each pie as a property
var pies = svg.selectAll("g")
.data(data)
.enter()
.append("g")
.property("radius",function(d) { return d.radius; })
.attr("fill",function(d,i) { return color[i] })
.attr("transform",function(d) { return "translate("+d.x+","+d.y+")"; });
// draw each pie wedge, using the slices property of the data bound to the parent g
pies.selectAll()
.data(function(d){ return pie(d.slices); })
.enter()
.append("path")
.attr("d",function(d) {
var radius = d3.select(this.parentNode).property("radius");
arc.outerRadius(radius);
return arc(d) })
.attr("opacity",function(d,i){
return 1-i*0.2;
});
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/4.10.0/d3.min.js"></script>
Other options are available, such as storing a local variable, storing the color as a property as we did for radius, or modifying our data structure to include a color for each wedge:
var data = [
{x:100,y:100,radius:20,
slices:[{value:1,color:"steelblue"},{value:5,color:"lightblue"} ]},
{x:150,y:180,radius:10,
slices:[{value:1,color:"crimson"},{value:2,color:"pink"}]},
{x:180,y:130,radius:30,
slices:[{value:1,color:"lawngreen"},{value:7,color:"darkgreen"}]}
]
var width = 500;
var height = 300;
var svg = d3.select("body").append("svg")
.attr("width", width)
.attr("height", height);
var arc = d3.arc()
.innerRadius(0)
.outerRadius(50);
var pie = d3.pie()
.sort(null)
.value(function(d) { return d.value; });
// Append a group for each pie chart, it will store the radius of each pie as a property
var pies = svg.selectAll("g")
.data(data)
.enter()
.append("g")
.property("radius",function(d) { return d.radius; })
.attr("transform",function(d) { return "translate("+d.x+","+d.y+")"; });
// draw each pie wedge, using the slices property of the data bound to the parent g
pies.selectAll()
.data(function(d){ return pie(d.slices); })
.enter()
.append("path")
.attr("d",function(d) {
var radius = d3.select(this.parentNode).property("radius");
arc.outerRadius(radius);
return arc(d) })
// remember that d3.pie creates it's own data array, thus using d.data.property:
.attr("fill",function(d){ return d.data.color; })
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/4.10.0/d3.min.js"></script>
Now we can adapt and implement characteristics of a scatter plot such as scales and axes. This would be the same for any other scatter plot essentially, we would scale the max and min (or a defined range) for the x and y scales, and add the axes. Altogether, that might look something like:
var data = [
{x:100,y:100,radius:10,slices:[1,5]},
{x:150,y:180,radius:10,slices:[1,2,3,4]},
{x:180,y:110,radius:30,slices:[1,2,3,4,5,6,7]},
{x:50,y:100,radius:15,slices:[5,3]},
{x:50,y:180,radius:40,slices:[6,3]}
]
var width = 500;
var height = 300;
var margin = {left:30,right:10,top:30,bottom:30}
var xScale = d3.scaleLinear()
.range([0,width-margin.left-margin.right])
.domain([0,d3.max(data,function(d) { return d.x + 20 }) ]);
var yScale = d3.scaleLinear()
.range([height-margin.top-margin.bottom,0])
.domain([0,d3.max(data,function(d) { return d.y + 20}) ]);
var svg = d3.select("body").append("svg")
.attr("width", width)
.attr("height", height);
var g = svg.append("g")
.attr("transform", "translate("+margin.left+","+margin.top+")")
var xAxis = d3.axisBottom(xScale);
g.append("g")
.attr("transform", "translate(0,"+(height-margin.bottom-margin.top)+")")
.call(xAxis);
var yAxis = d3.axisLeft(yScale);
g.append("g")
.call(yAxis);
var arc = d3.arc()
.innerRadius(0)
.outerRadius(50);
var pie = d3.pie()
.sort(null)
.value(function(d) { return d; });
var color = d3.schemeCategory10;
var pies = g.selectAll(null)
.data(data)
.enter()
.append("g")
.property("radius",function(d) { return d.radius; })
.attr("transform",function(d) { return "translate("+xScale(d.x)+","+yScale(d.y)+")"; });
pies.selectAll()
.data(function(d){ return pie(d.slices); })
.enter()
.append("path")
.attr("d",function(d) {
var radius = d3.select(this.parentNode).property("radius");
arc.outerRadius(radius);
return arc(d) })
.attr("fill",function(d,i){
return color[i];
});
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/4.10.0/d3.min.js"></script>
Adding grid lines, legends, mouse over functionality, and other features should be relatively straightforward now - look at scatterplot examples with d3 to see how these and other features might be implemented, modifying a scatterplot of cirlces is about the same as modifying a scatterplot of pie charts.

From the sample provided by #Andrew Reid I have made it , the sample code for reference is posted here
<html>
<head>
<title>TODO supply a title</title>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/4.10.0/d3.min.js"></script>
</head>
<body>
<script>
var data = [
{x: 170, y: 160, radius: 20, slices: [3, 4]},
{x: 180, y: 40, radius: 30, slices: [ 6, 7]},
{x: 50, y: 80, radius: 20, slices: [5, 3]},
{x: 50, y: 180, radius: 40, slices: [6, 3]}
]
var width = 500;
var height = 300;
var margin = {left: 30, right: 10, top: 30, bottom: 30}
var xScale = d3.scaleLinear()
.range([0, width - margin.left - margin.right])
.domain([0, d3.max(data, function (d) {
return d.x + 20
})]);
var yScale = d3.scaleLinear()
.range([height - margin.top - margin.bottom, 0])
.domain([0, d3.max(data, function (d) {
return d.y + 20
})]);
xMid=d3.max(xScale.domain())/2;
yMid=d3.max(yScale.domain())/2;
console.log(xMid,yMid)
var svg = d3.select("body").append("svg")
.attr("width", width)
.attr("height", height);
var g = svg.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")")
var xAxis = d3.axisBottom(xScale);
g.append("g")
.attr("transform", "translate(0," + (height - margin.bottom - margin.top) + ")")
.call(xAxis);
var yAxis = d3.axisLeft(yScale);
g.append("g")
.call(yAxis);
var lineX= g.append("line")
.attr("x1", 0)
.attr("x2", 500)
.attr("y1", yMid+20)
.attr("y2", yMid+20)
.attr("stroke-width", 1)
.attr("stroke", "black")
.attr("stroke-dasharray", "7,7");
var liney= g.append("line")
.attr("x1", xMid+130)
.attr("x2", xMid+130)
.attr("y1", -10)
.attr("y2", 245)
.attr("stroke-width", 1)
.attr("stroke", "black")
.attr("stroke-dasharray", "7,7");
var arc = d3.arc()
.innerRadius(0)
.outerRadius(50);
var pie = d3.pie()
.sort(null)
.value(function (d) {
return d;
});
var colors = d3.schemeCategory20;
var color = ["steelblue","orange","green","red"]
var pies = g.selectAll(null)
.data(data)
.enter()
.append("g")
.property("radius", function (d) {
return d.radius;
})
.attr("transform", function (d) {
return "translate(" + xScale(d.x) + "," + yScale(d.y) + ")";
})
.attr("fill", function (d, i) {
return color[i];
});
pies.selectAll()
.data(function (d) {
return pie(d.slices);
})
.enter()
.append("path")
.attr("d", function (d) {
var radius = d3.select(this.parentNode).property("radius");
arc.outerRadius(radius);
return arc(d)
})
.attr("opacity",function(d,i){ return 1-i*0.7; });
</script>
</body>

D3JS makes date duplicates

I have this d3js code:
var tooltip = tooltipd3();
var svg = d3.select("svg#svg-day"),
margin = {
top: 20,
right: 30,
bottom: 30,
left: 25,
padding: 15
},
width = 700 - margin.left - margin.right,
height = 300 - margin.top - margin.bottom;
// parse the periodo / time
var parseTime = d3.timeParse("%Y-%m-%d");
// set the ranges
var x = d3.scaleTime().range([0, width - margin.padding]);
var y = d3.scaleLinear().range([height, 0]);
// define the area
var area = d3.area()
.x(function(d) {
return x(d.periodo) + (margin.left + margin.padding);
})
.y0(height)
.y1(function(d) {
return y(d.guadagno);
});
// define the line
var valueline = d3.line()
.x(function(d) {
return x(d.periodo) + (margin.left + margin.padding);
})
.y(function(d) {
return y(d.guadagno);
});
var div = d3.select("svg#svg-day")
.append("div") // declare the tooltip div
.attr("class", "tooltip") // apply the 'tooltip' class
.style("opacity", 0);
// get the data
d3.csv(base_url() + 'graph/getStatementsDaily/', function(error, data) {
if (error) throw error;
$('.graph-loading').hide();
// format the data
data.forEach(function(d) {
d.periodo = parseTime(d.periodo)
d.guadagno = +d.guadagno;
});
// scale the range of the data
x.domain(d3.extent(data, function(d) {
return d.periodo;
}));
y.domain([0, d3.max(data, function(d) {
return d.guadagno + ((d.guadagno / 100) * 10); // 10% in più sulla scala numerica
})]);
// add the area
svg.append("path")
.data([data])
.attr("class", "area")
.attr("d", area);
// add the valueline path.
svg.append("path")
.data([data])
.attr("class", "line")
.attr("d", valueline);
// Add the scatterplot
svg.selectAll("dot")
.data(data)
.enter().append("circle")
.attr("class", "dot")
.attr("r", 3)
.attr("cx", function(d) {
return x(d.periodo) + (margin.left + margin.padding);
})
.attr("cy", function(d) {
return y(d.guadagno);
})
.on('mouseover', function(d) {
var html = '<h5>' + d.guadagno + ' €</h5>';
tooltip.mouseover(html); // pass html content
})
.on('mousemove', tooltip.mousemove)
.on('mouseout', tooltip.mouseout);
// add the X Axis
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(" + (margin.left + margin.padding) + "," + (height) + ")")
//HERE IS THE DATES CODE
.call(d3.axisBottom(x).tickFormat(d3.timeFormat("%d/%m")))
// add the Y Axis
svg.append("g")
.attr("class", "y axis")
.attr("transform", "translate (" + (margin.left + margin.padding) + " 0)")
.call(d3.axisLeft(y));
});
The dates care coming from a CSV file that has this format:
periodo,guadagno
2017-05-08,0.0
2017-05-09,0.5385
2017-05-10,0.0
2017-05-11,0.0
2017-05-12,0.0
2017-05-13,0.5680
2017-05-14,0.0
2017-05-15,0.0
The result is fine with lots of dates, but with 7 dates I get duplicates as you can see here:
Why is this?? And how do I fix it?

This is something that bothers a lot of people new to D3: the ticks in the axis, specially when using a time scale, are automatically generated. In your case, given the date interval in your domain, it coincidentally ended up creating two ticks for each day. But pay attention to this: those ticks represent different times (hours) in the same day (you can see that if you remove the tickFormat in the axis generator).
Let's see your code generating the x axis:
var svg = d3.select("svg");
var data = d3.csvParse(d3.select("#csv").text());
var parseTime = d3.timeParse("%Y-%m-%d");
data.forEach(function(d) {
d.periodo = parseTime(d.periodo)
});
var x = d3.scaleTime()
.range([20, 480])
.domain(d3.extent(data, function(d) {
return d.periodo;
}));
var axis = d3.axisBottom(x).tickFormat(d3.timeFormat("%d/%m"))(svg.append("g").attr("transform", "translate(0,50)"));
pre {
display: none;
}
<script src="https://d3js.org/d3.v4.min.js"></script>
<svg width="500"></svg>
<pre id="csv">periodo,guadagno
2017-05-08,0.0
2017-05-09,0.5385
2017-05-10,0.0
2017-05-11,0.0
2017-05-12,0.0
2017-05-13,0.5680
2017-05-14,0.0
2017-05-15,0.0</pre>
As you can see, there are two ticks for each day (remember, for different hours).
Let's show that this is a coincidence: This is the same code, but changing the last date for 2017-05-20:
var svg = d3.select("svg");
var data = d3.csvParse(d3.select("#csv").text());
var parseTime = d3.timeParse("%Y-%m-%d");
data.forEach(function(d) {
d.periodo = parseTime(d.periodo)
});
var x = d3.scaleTime()
.range([20, 480])
.domain(d3.extent(data, function(d) {
return d.periodo;
}));
var axis = d3.axisBottom(x).tickFormat(d3.timeFormat("%d/%m"))(svg.append("g").attr("transform", "translate(0,50)"));
pre {
display: none;
}
<script src="https://d3js.org/d3.v4.min.js"></script>
<svg width="500"></svg>
<pre id="csv">periodo,guadagno
2017-05-08,0.0
2017-05-09,0.5385
2017-05-10,0.0
2017-05-11,0.0
2017-05-12,0.0
2017-05-13,0.5680
2017-05-14,0.0
2017-05-20,0.0</pre>
Back to your code.
The solution is quite simple: using intervals. Let's set the interval for each tick:
d3.axisBottom(x).ticks(d3.timeDay)
Here is the same code with that change only:
var svg = d3.select("svg");
var data = d3.csvParse(d3.select("#csv").text());
var parseTime = d3.timeParse("%Y-%m-%d");
data.forEach(function(d) {
d.periodo = parseTime(d.periodo)
});
var x = d3.scaleTime()
.range([20, 480])
.domain(d3.extent(data, function(d) {
return d.periodo;
}));
var axis = d3.axisBottom(x).tickFormat(d3.timeFormat("%d/%m")).ticks(d3.timeDay)(svg.append("g").attr("transform", "translate(0,50)"));
pre {
display: none;
}
<script src="https://d3js.org/d3.v4.min.js"></script>
<svg width="500"></svg>
<pre id="csv">periodo,guadagno
2017-05-08,0.0
2017-05-09,0.5385
2017-05-10,0.0
2017-05-11,0.0
2017-05-12,0.0
2017-05-13,0.5680
2017-05-14,0.0
2017-05-15,0.0</pre>

D3.js How to hide/show line when click select options?

I tried to use D3.js to draw lines when you click on different checkbox. It will get data of that option. Here is an example I used D3 multi-series line chart with tooltips and legend. I have got the specific data object that is corresponding the checkbox I choose. Howevery, I don't know how to draw it on svg. Please help me and I will appreciate you so much.
I also find a website "www.cotrino.com/starpaths/" that shows the final effect I want to implement.
My D3 effect
<!DOCTYPE html>
<meta charset="utf-8">
<style>
.axis--x path {
display: none;
}
.line {
fill: none;
stroke: steelblue;
stroke-width: 1.5px;
}
</style>
<script src="http://d3js.org/d3.v4.js"></script>
<body>
<svg width="1000" height="500"></svg>
<div id="disease_list"></div>
</body>
<script>
var svg = d3.select("svg"),
margin = {top: 20, right: 80, bottom: 30, left: 50},
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 + ")");
//make a clip path for the graph
var clip = svg.append("svg:clipPath")
.attr("id", "clip")
.append("svg:rect")
.attr("x", 0)
.attr("y", 0)
.attr("width", width)
.attr("height", height);
var parseTime = d3.timeParse("%Y-%m");
var x = d3.scaleTime().range([0, width]),
y = d3.scaleLinear().range([height, 0]);
var line = d3.line()
.curve(d3.curveBasis)
.x(function(d) { console.log(d.date); return x(d.date); })
.y(function(d) { console.log(d.date); return y(d.count); });
var color = d3.scaleOrdinal(d3.schemeCategory20);
d3.csv("./top10highestNormalize.csv", type, function(error, data) {
if (error) throw error;
var diseases = data.columns.slice(1).map(function(id) {
return {
id: id,
values: data.map(function(d) {
return {date: d.date, count: d[id]};
})
};
});
console.log(diseases);
x.domain(d3.extent(data, function(d) { return d.date; }));
y.domain([
d3.min(diseases, function(c) { return d3.min(c.values, function(d) { return d.count; }); }),
d3.max(diseases, function(c) { return d3.max(c.values, function(d) { return d.count; }); })
]);
g.append("g")
.attr("class", "axis axis--x")
.attr("transform", "translate(0," + height + ")")
.call(d3.axisBottom(x));
g.append("g")
.attr("class", "axis axis--y")
.call(d3.axisLeft(y))
.append("text")
.attr("transform", "rotate(-90)")
.attr("y", 6)
.attr("dy", "0.71em")
.attr("fill", "#000")
.text("Count");
/*
var disease = g.selectAll(".disease")
.data(diseases)
.enter().append("g")
.attr("class", "disease");
*/
// Create the shape selectors
var selector = d3.select("#disease_list").append("select");
labels = selector.selectAll("option")
.data(diseases)
.enter()
.append("option")
.attr("value",function(d,i) {return i;})
.text(function(d) {return d.id;});
var menu = d3.select("#disease_list select")
.on("change", redraw);
// var series = menu.property("value");
//console.log(series);
// all the meat goes in the redraw function
function redraw() {
console.log("redraw start");
// get value from menu selection
// the option values are set in HTML and correspond
//to the [type] value we used to nest the data
var series = menu.property("value");
console.log(series);
// only retrieve data from the selected series, using the nest we just created
var adata = diseases[series];
console.log(adata);
}
});
function type(d, _, columns) {
d.date = parseTime(d.date);
for (var i = 1, n = columns.length, c; i < n; ++i) d[c = columns[i]] = +d[c];
return d;
}
</script>
top10highestNormalize.csv
date,disseminated sclerosis,sclerosis,gestural tics,venereal disease,bite,cot death,venereal disease,cardiovascular disease,diseases vascular,pruritis,pus,cystic fibrosis,fibroses
2010-04,0,0,0,0,0,0,0,0,0,0,0,0,0
2010-05,0,0,0.06898023,0.068783069,0.085790885,0.065761258,0.068783069,0,0,0.001204094,0.023051592,0,0
2010-06,0.076923077,0.076923077,0.190584554,0.199972867,0.201072386,0.171789373,0.199972867,0.071428571,0.071428571,0.004816376,0.031284303,0.2,0.2
2010-07,0.230769231,0.230769231,0.221590101,0.224664225,0.225201072,0.235167977,0.224664225,0.214285714,0.285714286,0.00602047,0.038419319,0,0
2010-08,0.538461538,0.538461538,0.174797326,0.182471849,0.174262735,0.192041935,0.182471849,0.071428571,0.071428571,0.003612282,0.023051592,0,0
2010-09,0.230769231,0.230769231,0.287725786,0.277845611,0.252010724,0.259471051,0.277845611,0,0,0.004214329,0.046652031,0,0
2010-10,0.076923077,0.076923077,0.295406059,0.299416633,0.285969616,0.265665952,0.299416633,0,0.071428571,0.007224564,0.03402854,0.066666667,0.066666667
2010-11,0.153846154,0.153846154,0.284027877,0.279337946,0.261840929,0.276149631,0.279337946,0,0,0.006622517,0.050493963,0,0
2010-12,0.153846154,0.153846154,0.271511876,0.237552571,0.213583557,0.237312366,0.237552571,0.142857143,0.142857143,0.004214329,0.035126235,0,0
2011-01,0.076923077,0.076923077,0.306642014,0.312440646,0.28150134,0.305694544,0.312440646,0.142857143,0.142857143,0.006622517,0.046103183,0,0.066666667
2011-02,0.076923077,0.076923077,0.288721377,0.262243929,0.219839142,0.25899452,0.262243929,0.142857143,0.142857143,0.007224564,0.038968167,0,0.066666667
2011-03,0.076923077,0.076923077,0.271654103,0.255324922,0.253798034,0.266857279,0.255324922,0.071428571,0.071428571,0.007224564,0.051591658,0,0
2011-04,0.461538462,0.461538462,0.291423695,0.252068919,0.235031278,0.284250655,0.252068919,0,0,0.009030704,0.045005488,0,0
2011-05,0.153846154,0.153846154,0.448158157,0.380681047,0.351206434,0.439123183,0.380681047,0,0,0.011438892,0.079582876,0.333333333,0.4
2011-06,0.153846154,0.153846154,0.498079932,0.437661104,0.391420912,0.424827258,0.437661104,0.142857143,0.142857143,0.009632751,0.063117453,0,0.066666667
2011-07,0,0,0.410467928,0.424094424,0.419124218,0.379080295,0.424094424,0,0.071428571,0.009030704,0.061470911,1,1
2011-08,0.076923077,0.076923077,0.268382876,0.262922263,0.238605898,0.267810341,0.262922263,0.214285714,0.214285714,0.002408188,0.038968167,0,0
2011-09,0.230769231,0.230769231,0.510027023,0.469949803,0.470956211,0.444841553,0.469949803,0,0,0.014449127,0.075740944,0.133333333,0.2
2011-10,0.076923077,0.076923077,0.462380885,0.434540768,0.431635389,0.417679295,0.434540768,0.142857143,0.142857143,0.006622517,0.073545554,0,0.066666667
2011-11,0.153846154,0.153846154,0.519698478,0.457061457,0.415549598,0.443888492,0.457061457,0.142857143,0.142857143,0.01384708,0.06805708,0.2,0.2
2011-12,1,1,0.382449154,0.35002035,0.319928508,0.315701692,0.35002035,0,0,0.002408188,0.060373216,0,0
2012-01,0.461538462,0.461538462,0.492390841,0.45312712,0.409294013,0.45389564,0.45312712,0.571428571,0.571428571,0.007224564,0.060373216,0,0
2012-02,0.076923077,0.076923077,0.382875836,0.375932709,0.350312779,0.369073147,0.375932709,0.071428571,0.071428571,0.003612282,0.049945115,0.066666667,0.066666667
2012-03,0.923076923,1,1,0.922127255,1,0.871098404,0.922127255,0.5,0.5,0.01384708,0.171789243,0,0.066666667
2012-04,0.230769231,0.307692308,0.699331532,0.676977344,0.63360143,0.645699309,0.676977344,0.142857143,0.142857143,0.012040939,0.092206367,0.133333333,0.133333333
2012-05,0.846153846,0.846153846,0.801735173,0.752408086,0.776586238,0.7436264,0.752408086,0.785714286,0.785714286,0.016857315,0.131723381,0.466666667,0.466666667
2012-06,0.384615385,0.461538462,0.730479306,0.732193732,0.625558534,0.657850846,0.732193732,0,0,0.011438892,0.118002195,0.6,0.666666667
2012-07,0.384615385,0.384615385,0.751386716,0.738434405,0.71849866,0.714081487,0.738434405,0.285714286,0.285714286,0.009030704,0.126783754,0.2,0.2
2012-08,0.384615385,0.461538462,0.700327123,0.643467643,0.619302949,0.646890636,0.643467643,0.285714286,0.285714286,0.012642986,0.150933041,0.2,0.266666667
2012-09,0.076923077,0.230769231,0.72137676,0.701804368,0.63538874,0.70455087,0.701804368,0.214285714,0.214285714,0.011438892,0.130076839,0.066666667,0.066666667
2012-10,0.230769231,0.230769231,0.846252311,0.863112196,0.796246649,0.825827972,0.863112196,0.071428571,0.071428571,0.036724865,0.127881449,0.333333333,0.333333333
2012-11,0.692307692,0.692307692,0.895605177,1,0.798927614,0.909935668,1,0.214285714,0.357142857,0.012642986,0.143798024,0,0.133333333
2012-12,0.923076923,1,0.795903854,0.803283137,0.683646113,0.827257565,0.803283137,0.142857143,0.142857143,0.008428657,0.104829857,0.6,0.6
2013-01,0.230769231,0.384615385,0.92106386,0.964862298,0.848078642,0.944007624,0.964862298,0.285714286,0.357142857,0.015653221,0.146542261,0.533333333,0.733333333
2013-02,0.153846154,0.307692308,0.830322856,0.872880206,0.798927614,0.755777937,0.872880206,0.142857143,0.142857143,0.010234798,0.110318332,0,0.066666667
2013-03,0.230769231,0.230769231,0.927037406,0.944105277,0.885612154,0.953061711,0.944105277,0.142857143,0.142857143,0.009632751,0.131174533,0,0.133333333
2013-04,0.384615385,0.384615385,0.796046082,0.775471442,0.671134942,0.715749345,0.775471442,0,0,0.012040939,0.12349067,0.133333333,0.133333333
2013-05,0.923076923,1,0.824633765,0.844254511,0.742627346,0.843697879,0.844254511,0.142857143,0.142857143,0.015653221,0.149286498,0,0
2013-06,0.307692308,0.307692308,0.884369222,0.949667616,0.865951743,1,0.949667616,0.071428571,0.071428571,0.020469597,0.135016465,0.466666667,0.466666667
2013-07,0.461538462,0.461538462,0.864172948,0.935829602,0.843610366,0.939480581,0.935829602,0.071428571,0.071428571,0.015051174,0.128979144,0.066666667,0.2
2013-08,0.153846154,0.153846154,0.670886076,0.738163071,0.753351206,0.821300929,0.738163071,0.071428571,0.214285714,0.012642986,0.098243688,0,0
2013-09,0.230769231,0.230769231,0.876262267,0.861484195,0.744414656,0.996426019,0.861484195,0,0,0.024081878,0.144895719,0.066666667,0.066666667
2013-10,0.615384615,0.615384615,0.917508178,0.885361552,0.806970509,0.841315225,0.885361552,0.642857143,0.642857143,0.030704395,0.115806806,0.2,0.4
2013-11,0,0.076923077,0.857061584,0.903540904,0.791778374,0.845127472,0.903540904,0.5,0.5,0.012642986,0.093852909,0,0
2013-12,0.230769231,0.230769231,0.704878396,0.719169719,0.584450402,0.81915654,0.719169719,0.285714286,0.5,0.015653221,0.108122942,0,0
2014-01,0.461538462,0.461538462,0.900014223,0.856328856,0.717605004,0.98903979,0.856328856,0.357142857,0.5,0.030102348,0.137211855,0,0.066666667
2014-02,0,0,0.707865169,0.703296703,0.63717605,0.796997856,0.703296703,1,1,0.012642986,0.097145993,0,0
2014-03,0.230769231,0.230769231,0.815531219,0.800434134,0.7256479,0.786275911,0.800434134,0.714285714,0.714285714,0.009632751,0.099341383,0.533333333,0.6
2014-04,0.153846154,0.153846154,0.756506898,0.790259124,0.615728329,0.778174887,0.790259124,0,0,0.011438892,0.12349067,0,0
2014-05,0.461538462,0.461538462,0.85990613,0.767331434,0.705987489,0.78008101,0.767331434,0.142857143,0.285714286,0.014449127,0.13611416,0.066666667,0.133333333
2014-06,0.076923077,0.153846154,0.670886076,0.713064713,0.615728329,0.735763641,0.713064713,0.285714286,0.285714286,0.010836845,0.102634468,0,0
2014-07,0.076923077,0.076923077,0.672592803,0.801655135,0.621090259,0.680009531,0.801655135,0.071428571,0.071428571,0.007224564,0.103183315,0,0
2014-08,0.384615385,0.461538462,0.487270659,0.58377425,0.486148347,0.575887539,0.58377425,0.071428571,0.071428571,0.005418423,0.079582876,0,0.133333333
2014-09,0,0.076923077,0.715545442,0.678062678,0.669347632,0.705980462,0.678062678,0,0,0.01384708,0.103183315,0,0.066666667
2014-10,0.230769231,0.307692308,0.742995306,0.723511057,0.630920465,0.679294734,0.723511057,0,0,0.016857315,0.1064764,0,0
2014-11,0,0,0.672735031,0.623388957,0.583556747,0.64927329,0.623388957,0,0,0.004816376,0.115806806,0.066666667,0.066666667
2014-12,0.307692308,0.384615385,0.591096572,0.55704789,0.478999106,0.491303312,0.55704789,0.285714286,0.428571429,0.003010235,0.074643249,0,0
2015-01,0.076923077,0.153846154,0.659223439,0.561117894,0.531724754,0.605432452,0.561117894,0.071428571,0.071428571,0.007224564,0.094401756,0.133333333,0.133333333
2015-02,0.230769231,0.307692308,0.61840421,0.564780898,0.512064343,0.585656421,0.564780898,0.071428571,0.071428571,0.007224564,0.096597146,0,0
2015-03,0,0,0.770302944,0.677927011,0.599642538,0.675482487,0.677927011,0.071428571,0.071428571,0.009632751,0.111964874,0.066666667,0.2
2015-04,0.076923077,0.076923077,0.706016214,0.61687695,0.731903485,0.563497736,0.61687695,0.071428571,0.071428571,0.008428657,0.097145993,0,0
2015-05,0,0.076923077,0.655383303,0.614027947,0.55406613,0.6154396,0.614027947,0.071428571,0.071428571,0.012642986,0.099341383,0,0
2015-06,0,0.076923077,0.564357844,0.540632207,0.527256479,0.598284489,0.540632207,0.142857143,0.142857143,0.00602047,0.091657519,0,0
2015-07,0.076923077,0.076923077,0.486417295,0.525301859,0.511170688,0.566356922,0.525301859,0,0,0.015653221,0.08726674,0.066666667,0.066666667
2015-08,0.230769231,0.230769231,0.408476746,0.386379053,0.320822163,0.465094115,0.386379053,0,0,0.003010235,0.056531284,0,0
2015-09,0.538461538,0.538461538,0.870999858,0.792701126,0.747095621,0.883964737,0.792701126,0,0,0.013245033,0.156421515,0,0
2015-10,0.153846154,0.153846154,0.469492249,0.435490435,0.320822163,0.51227067,0.435490435,0,0,0.174593618,0.221734358,0,0
2015-11,0.153846154,0.153846154,0.322998151,0.309455976,0.273458445,0.346676197,0.309455976,0,0,0.462974112,0.481888035,0.133333333,0.133333333
2015-12,0.076923077,0.076923077,0.342767743,0.309320309,0.27971403,0.384798666,0.309320309,0,0,0.464780253,0.482436883,0.066666667,0.066666667
2016-01,0.307692308,0.384615385,0.415872564,0.349477683,0.358355675,0.442458899,0.349477683,0,0,0.559903672,0.581229418,0.066666667,0.066666667
2016-02,0,0,0.445455838,0.403744404,0.316353887,0.457469621,0.403744404,0,0,0.54846478,0.568605928,0.066666667,0.066666667
2016-03,0,0,0.471198976,0.400352734,0.317247542,0.508220157,0.400352734,0.142857143,0.142857143,0.604455148,0.628430296,0,0
2016-04,0,0,0.582989617,0.570343237,0.575513852,0.603764594,0.570343237,0.214285714,0.214285714,1,1,0,0

You need to create your line variable:
var myLine = svg.append("path");
And then, inside redraw(), changing it according to the option selected:
myLine.datum(adata.values)
.attr("d", line);
Here is a demo plunker: https://plnkr.co/edit/YjGO9TLDBXj13JQuO5bm?p=preview
PS: I changed your x-scale range:
var x = d3.scaleTime().range([margin.left, width]);
And also added a call to redraw() when the code runs for the first time.

d3.js can not update the chart - using json data

I've been trying to get the update chart function to work... what am I doing wrong?
I've created a function to build the chart.
Then an update function once input boxes are changed - so if a user changes the data and then hits update.
I am unable to try and access the existing pie chart and update it/animate it with the correct data.
$.Core.doughnutCommon ={
init: function(){
var that = this;
var colourtheme = {
"spectrum" : ["#e87424", "#ebb700", "#007c92"]
};
$('[data-doughnut-pie-common="true"]').each(function(index) {
that.bindInputEvents($(this));
var holder = $(this)[0];
var data = that.generateData(holder);
console.log("data", data);
var theme = $(this).data("theme");
var colours = colourtheme[theme];
var radius = 64;
that.buildchart(holder, index, data, colours, radius);
});
},
bindInputEvents: function(holder){
var that = this;
holder.find('.updatechart').click(function(e) {
e.preventDefault();
that.updatechart(holder);
});
holder.find('.dataset li input').keyup(function() {
$(this).parent().parent().find('.value').text($(this).val());
});
},
generateData: function(holder){
var that = this;
var json = new Array();
var keysObj = {};
var legendsarray = new Array();
$(holder).find('.dataset li').each(function(index) {
var key = $(this).find('.key').text();
var value = $(this).find('.value').text();
//__key obj
var localKeyObj = {};
localKeyObj[key] = "";
//__legend array build
var stream = {
"name" : key,
"population" : value
}
jQuery.extend(keysObj, localKeyObj);
legendsarray.push(stream);
});
var obj ={
"legends": legendsarray
};
jQuery.extend(obj, keysObj);
json.push(obj);
return json;
},
updatechart: function(holder){
var that = this;
console.log("holder", holder);
var data = that.generateData(holder);
console.log("data hold", data);
var pieId = holder.find(".pie").attr("id");
//draw arc paths
//var svg = d3.select('#'+pieId);
var arc_group = d3.select('#'+pieId+' .sliceholder');
var color = d3.scale.ordinal();
var arc = d3.svg.arc()
.outerRadius(64)
.innerRadius(64 - 20);
paths = arc_group.selectAll("path").data(data[0].legends);
paths.enter().append("svg:path")
.attr("class", "arc")
.attr("d", arc)
.style("fill", function(d) {
console.log("d", d);
return color(d.name);
})
.transition()
.duration(500);
//.attrTween("d", arcTween);
paths
.transition()
.duration(500);
//.attrTween("d", arcTween);
paths.exit()
.transition()
.duration(500)
//.attrTween("d", arcTween);
.remove();
function arcTween(d) {
var i = d3.interpolate(this._current, d);
this._current = i(0);
return function(t) { return arc(i(t)); };
}
},
buildchart: function(holder, index, data, colours, radius){
var padding = 10;
var color = d3.scale.ordinal()
.range(colours);
var arc = d3.svg.arc()
.outerRadius(radius)
.innerRadius(radius - 20);
var pie = d3.layout.pie()
.sort(null)
.value(function(d) { return d.population; });
color.domain(
d3.keys(data[0]).filter(function(key) {
return key !== "legends";
})
);
var svg = d3.select(holder).selectAll(".pie")
.data(data)
.enter().append("svg")
.attr("class", "pie")
.attr("id", "pie"+index)
.attr("width", radius * 2)
.attr("height", radius * 2)
.append("g")
.attr("class", "sliceholder")
.attr("transform", "translate(" + radius + "," + radius + ")");
svg.selectAll(".arc")
.data(function(d) { return pie(d.legends); })
.enter().append("path")
.attr("class", "arc")
.attr("d", arc)
.style("fill", function(d) { return color(d.data.name); });
var legend = d3.select(holder).append("svg")
.attr("class", "legend")
.attr("width", radius * 1.7)
.attr("height", radius * 2)
.selectAll("g")
.data(color.domain().slice().reverse())
.enter().append("g")
.attr("transform", function(d, i) { return "translate(0," + i * 25 + ")"; });
legend.append("rect")
.attr("width", 18)
.attr("height", 18)
.style("fill", color);
legend.append("text")
.attr("x", 24)
.attr("y", 9)
.attr("dy", ".35em")
.text(function(d) { return d; });
var totalUnits = svg.append("svg:text")
.attr("class", "units")
.attr("dy", 5)
.attr("text-anchor", "middle") // text-align: right
.text("Chart title");
}
};
The html is as follows
<script type="text/javascript" src="//ajax.googleapis.com/ajax/libs/jquery/1.9.1/jquery.min.js"></script>
<script type="text/javascript" src="d3.v3.min.js"></script>
<script>
$.Core ={
init: function(){
console.log("test");
$.Core.doughnutCommon.init();//iniate doughnut read only
}
};
</script>
<script type="text/javascript" src="doughnut.common.js"></script>
<script>
$(document).ready(function() {
$.Core.init();
});
</script>
<div class="doughnut_pie common" data-doughnut-pie-common="true" data-theme="spectrum">
<form>
<ul class="dataset">
<li>
<span class="key">Equities</span>
<span class="value">50</span>
<span class="varbox"><input type="text" value="50"></span>
</li>
<li>
<span class="key">Bonds</span>
<span class="value">30</span>
<span class="varbox"><input type="text" value="30"></span>
</li>
<li>
<span class="key">Gilts</span>
<span class="value">20</span>
<span class="varbox"><input type="text" value="20"></span>
</li>
</ul>
<button class="updatechart">UPDATE</button>
</form>
</div>

There are a couple of problems with your code. First, the selector
var arc_group = d3.select('#'+pieId+' .sliceholder');
doesn't work because the g element with class sliceholder is a subelement of the SVG. You need
var arc_group = d3.select('#'+pieId+' > .sliceholder');
Second, you can't pass in the raw data when updating, you need to process it with a pie layout first. That is,
paths = arc_group.selectAll("path").data(data[0].legends);
won't work, you need
var pie = d3.layout.pie()
.sort(null)
.value(function(d) { return d.population; });
paths = arc_group.selectAll("path").data(pie(data[0].legends));
Third, you've missed some initialisation when copying the arcTween code. You need to set the initial values for ._current:
svg.selectAll(".arc")
.data(function(d) { return pie(d.legends); })
.enter().append("path")
...
.each(function(d) { this._current = d; });
Working jsfiddle here.

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