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d3-attrTween with custom function.(What did I misunderstand about tween function?)

I have a question about attrTween (sometimes tween()).
I understood custom tween function as
after " attrTween('d' " argument,
I define the custom function.
So, I wrote the custom function as below.
d3.selectAll('circle#circles1')
.transition()
.attrTween('d',function(){
let interpolator=d3.interpolateArray(sdata.vader,sdata1.vader);
return function(t){
return d3.select(this).attr('cy',interpolator(t))
}
})
What I intended is
For All the circles I drew, makes a transition. The transition
is attrTween. The changes is based on data array tied into the
circles. Original data array is sdata and the cy value in the
sdata is sdata.vader. And the transition is heading toward
sdata1.and cy value for sdata1 is sdata1.vader.
To access all the cy value for every single circle, I used
d3.select(this).attr('cy')
However, no error message is shown but no animation was made either.
What did I misunderstand for the custom tween function?
Can anyone help me to fix this code?
Thank you inadvance.
Full code is in the following link.
https://codepen.io/jotnajoa/pen/WNQeEBE

There are multiple problems in the example code, which is not minimal. Providing a minimal, reproducible example would really help solve the problems.
usage of HTML Id to multiple elements.
In HTML, and id attribute must be unique. Here, ids are assigned to groups of circles. A class attribute should be used for this purpose, not an id.
.attr('id','circles1')
should be:
.attr('class','circles1')
Accordingly, the attrTween should lookup the circles with class circle1, rather than the unique circle with id #circle1
d3.selectAll('circle#circles1')
should be
d3.selectAll('.circles1')
Id (or class) assigned in the wrong place.
The circles1 class is assigned before the creation of the circle, hence the instructions applies to an empty selection. The class attribute should be set right after circles have been created.
.attr('id','circles1')
.enter()
.append('circle')
should be
.enter()
.append('circle')
.attr('class','circles1')
Wrong attribute tweened
The attribute to transition is the circle's cy attribute, not a path's d attribute. Hence
.attrTween('d',function(){
should be
.attrTween('cy',function(){
Wrong data interpolated
sdata.vader and sdata1.vader do not exist, sdata and sdata1 seem to be arrays of objects, which in turn do have a vader property.
You probably want d.vader, and the corresponding .vader in sdata1, which would be sdata1[i].vader, in case items are the same order in both arrays.
Interpolating original measures instead of coordinates.
cy is originally defined as:
height-yscale(d.vader)
In the interpolator function, the scale function should also be used.
The attrTween function calls becomes:
.attrTween('cy',function(d, i){
//console.log( i, height-yscale(d.vader), height-yscale(sdata1[i].vader))
let interpolator=d3.interpolateArray(height-yscale(d.vader), height-yscale(sdata1[i].vader));
return function(t) { return interpolator(t)}
})
Using attrTween where not needed.
Simply transitioning the circles with attr is sufficient for this use case, there is no need to define an interpolator.
d3 will move the position of circles from the original position to the destination, interpolating implicitly.
d3.selectAll('.circles1')
.transition()
.duration(2000)
.attr('cy',function(d, i){
return height-yscale(sdata1[i].vader)
})
I added a long duration for demo purpose, to make obvious that the circles move to the correct location. Once in their final position, they disappear, because they are under the pink circles.
P.S. Same set of corrections is applicable to circles2 set whenever relevant.
Demo of the solution in the snippet below, as codepen does not allow to save modifications without creating an account.
var svg;
var xscale;
var yscale;
var sdata;
var xAxis;
var yAxis;
var width=1500;
var height=500;
var margin=50;
var duration =250;
var vader ='vader'
var textblob='textblob'
var delay =5000;
var tbtrue=false;
var areas
var circles1,circles2;
var sdata1,sdata2
d3.csv('https://raw.githubusercontent.com/jotnajoa/Javascript/master/tweetdata.csv').then(function(data){
svg=d3.select('body').append('svg').attr('width',width).attr('height',height)
var parser = d3.timeParse("%m/%d/%y")
// data를 처리했고, date parser 하는 법 다시한번 명심하자.
sdata = data;
sdata.forEach(function(d){
d.vader = +d.vader;
d.textblob= + d.textblob;
d.date=parser(d.date)
})
// scale을 정해야 함. 나중에 brushable한 범위로 고쳐야함. nice()안하면 정렬도안되고, 첫번째 엔트리 미싱이고
// 난리도 아님.
xscale=d3.scaleTime()
.domain(d3.extent(sdata, function(d) {return d.date }))
.range([0,width*9/10])
.nice()
yscale =d3.scaleLinear()
.domain(d3.extent([-1,1]))
.range([height*4/5,height*1/5])
.nice()
//yaxis는 필요 없을 것 같은데.
//캔버스에 축을 그려야 함 단, translate해서 중간에 걸치게 해야함.
svg.append('g').attr('class','xaxis')
.call(d3.axisBottom(xscale))
.attr('transform','translate('+margin+','+height*1/2+')')
//sdata plotting
var circles = svg.append('g').attr('class','circles')
var area = svg.append('g').attr('class','pathline')
firststage();
//generator로 데이터를 하나씩 떨어뜨리도록 한다.
function firststage(){
function* vaderdropping(data){
for( let i=0;i<data.length;i++){
if( i%50==0) yield svg.node();
let cx = margin+xscale(data[i].date)
let cy = height-yscale(data[i].vader)
circles.append('circle')
.attr('cx',cx)
.attr('cy',0)
.transition()
.duration(duration)
.ease(d3.easeBounce)
.attr('cy',cy)
.attr('r',3)
.style('fill','rgba(230, 99, 99, 0.528)')
}
yield svg.node()
}
//generator 돌리는 부분
let vadergen = vaderdropping(sdata);
let result = vadergen.next()
let interval = setInterval(function(){
if(!result.done) {
vadergen.next();
}
else {
clearInterval(interval)
}
}, 100);
setTimeout(secondstage,5000)
}
function secondstage(){
function* textblobdropping(data){
for( let i=0;i<data.length;i++){
if( i%50==0) yield svg.node();
let cx = margin+xscale(data[i].date)
let cy = height-yscale(data[i].textblob)
circles.append('circle')
.attr('cx',cx)
.attr('cy',0)
.transition()
.duration(duration)
.ease(d3.easeBounce)
.attr('cy',cy)
.attr('r',3)
.style('fill','rgba(112, 99, 230, 0.528)')
}
yield svg.node()
}
//generator 돌리는 부분
let textblobgen = textblobdropping(sdata);
let tresult = textblobgen.next()
let tinterval = setInterval(function(){
if(!tresult.done) {
textblobgen.next();
}
else {
clearInterval(tinterval)
}
}, 100);
setTimeout(thirdstage,2500)
}
function thirdstage(){
//진동을 만들기 위해서,
//베이다와 텍스트 블랍 값을 플립한거다 (제발 워크 아웃하길...)
//그 다음 트윈으로 sdata 와 sdata1을 왔다갔다 하게하면 되지않을까?
sdata1 = sdata.map(function(x){
var y={};
y['date']=x.date;
y['vader']=x.textblob;
y['textblob']=x.vader;
return y});
sdata2 = sdata.map(function(x){
var y={};
y['date']=x.date;
y['vader']=0;
y['textblob']=0;
return y});
d3.selectAll('circle').transition()
.duration(3500)
.style('fill','rgba(1, 1, 1, 0.228)')
//areas는 일종의 함수다, 에리아에다가 데이터를 먹이면,
//에리아를 그리는 역할을 하는것임.
areas = d3.area()
.x(function(d){return margin+xscale(d.date)})
.y0(function(d){return height-yscale(d.vader)})
.y1(function(d){return height-yscale(d.textblob)})
.curve(d3.curveCardinal)
//이렇게 하지말고, sdata2도 만들었으니까 2->1->0 반복하는
// 무한반복 on('end','repeat') loop를 만들어보자.
var uarea=area.append('path')
setTimeout(repeat,500)
function repeat(){
uarea
.style('fill','rgba(112, 99, 230, 0.4)')
.attr('d', areas(sdata))
.transition()
.duration(500)
.attrTween('d',function(){
var interpolator=d3.interpolateArray(sdata,sdata1);
return function(t){
return areas(interpolator(t))
}
})
.transition()
.duration(500)
.attrTween('d',function(){
var interpolator=d3.interpolateArray(sdata1,sdata2);
return function(t){
return areas(interpolator(t))
}
})
.transition()
.duration(500)
.attrTween('d',function(){
var interpolator=d3.interpolateArray(sdata2,sdata);
return function(t){
return areas(interpolator(t))
}
})
.on('end',repeat)
}
setTimeout(fourthstage,500)
}
function fourthstage(){
// console.log(d3.selectAll('circle#circles1').node())
circles1=svg.append('g').selectAll('circle').data(sdata)
.enter().append('circle').attr('class','circles1')
.attr('cx',function(d){return margin+xscale(d.date)})
.attr('cy',function(d){return height-yscale(d.vader)})
.style('fill','green')
.attr('r',3)
circles2=svg.append('g').selectAll('circle').data(sdata)
.enter().append('circle').attr('class','circles2')
.attr('cx',function(d){return margin+xscale(d.date)})
.attr('cy',function(d){return height-yscale(d.textblob)})
.style('fill','pink')
.attr('r',3)
d3.selectAll('.circles1')
.transition()
.duration(5000)
.attr('cy',function(d, i){
return height-yscale(sdata1[i].vader)
})
// d3.selectAll('circle#circles2')
// .transition()
// .attr('cy',function(d){return 0})
//tween 팩토리를 정의해야한다.
//주의사항, 리턴을 갖는 함수여야한다는 것.
//왜 꼭 return function(){}을 해야하나?
/*
function movey(d2){
let y1 = this.attr('cy')
let y2 = d2.vader
let interpolate=d3.interpolate(y1,y2);
interpolate;
} 하면 안되나??
*/
}
})
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/5.7.0/d3.min.js"></script>

D3: Combine two colour scales into one

I currently have two variables that I can map to two different colours on two colours scales s1 and s2. s1 gives me the shade of red corresponding to my a value of my variable X (4 different possible colours). s1 gives me the shade of blue corresponding to my a value of my variable Y (4 different possible colours too).
Now what I would like to get is something that allows me to combine these two to get a unique colour for a combination of the variables. So for a pair (X,Y) I get a colour on the scale. So I get a scale of 16 possible colours.
Here is a legend that illustrate the kind of thing I am looking for:
I have been looking at online examples but cannot figure out how to achieve this.

You could combine two threshold scales fairly easily into a new scale function. The core of the function could look like:
d3.scaleBivariate = function() {
function scaleBivariate(value) {
var r = reds(value[0]);
var b = blues(value[1]);
return "rgb("+r+","+((r+b)/2)+","+b+")";
}
var blues = d3.scaleThreshold()
.range([255,205,155,105,55])
.domain([0,1,2,3,4,5]);
var reds = d3.scaleThreshold()
.range([255,205,155,105,55])
.domain([0,1,2,3,4,5]);
return scaleBivariate;
}
This sets the red and blue channels with the help of two d3 threshold scales. The green is simply set as the average between the two, though you could set that to whatever is desirable, say 0 or the minimum of the two other channels. My red/blue ranges are arbitrary and easily changed as well.
The above could be used as:
d3.scaleBivariate = function() {
function scaleBivariate(value) {
var r = reds(value[0]);
var b = blues(value[1]);
return "rgb("+r+","+((r+b)/2)+","+b+")";
}
var blues = d3.scaleThreshold()
.range([255,205,155,105,55])
.domain([0,1,2,3,4,5]);
var reds = d3.scaleThreshold()
.range([255,205,155,105,55])
.domain([0,1,2,3,4,5]);
return scaleBivariate;
}
// Dummy data:
var data = d3.range(16).map(function(d) {
return {x: d%4, y: Math.floor(d/4) }
})
var svg = d3.select("svg");
var size = 30;
var color = d3.scaleBivariate();
svg.selectAll("rect")
.data(data)
.enter()
.append("rect")
.attr("x", function(d) { return d.x * size })
.attr("y", function(d) { return d.y * size })
.attr("width",size)
.attr("height",size)
.attr("fill",function(d) {
return color([d.x,d.y]);
});
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/5.0.0/d3.min.js"></script>
<svg></svg>
Of course you might want to add some flexibility by adding methods to modify what datum property sets what colors are associated with what properties, what the thresholds should be, etc. To provide a basic example, the example below has added accessors for setting what property should be mapped to blue and red channels:
d3.scaleBivariate = function() {
function scaleBivariate(value) {
var r = reds(red(value));
var b = blues(blue(value));
return "rgb("+r+","+((r+b)/2)+","+b+")";
}
var blues = d3.scaleThreshold()
.range([255,205,155,105,55])
.domain([0,1,2,3,4,5]);
var reds = d3.scaleThreshold()
.range([255,205,155,105,55])
.domain([0,1,2,3,4,5]);
var red = function(d) { return d[0]; }
var blue = function(d) { return d[1];}
// Accessors:
scaleBivariate.red = function(_) {
return arguments.length ? (red = _, scaleBivariate): red;
}
scaleBivariate.blue = function(_) {
return arguments.length ? (blue = _, scaleBivariate): blue;
}
return scaleBivariate;
}
var data = d3.range(16).map(function(d) {
return {x: d%4, y: Math.floor(d/4) }
})
var svg = d3.select("svg");
var size = 30;
// set up the color scale:
var color = d3.scaleBivariate()
.red(function(d) { return d.x; })
.blue(function(d) { return d.y; });
svg.selectAll("rect")
.data(data)
.enter()
.append("rect")
.attr("x", function(d) { return d.x * size })
.attr("y", function(d) { return d.y * size })
.attr("width",size)
.attr("height",size)
.attr("fill",color);
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/5.0.0/d3.min.js"></script>
<svg></svg>

d3js v5 + Topojson v3 Show/Hide element on click legend

I would like this reverse action http://bl.ocks.org/d3noob/5d621a60e2d1d02086bf. When I click on an item of my legend, I want focus all elements of the map within these class.
However, how isolate just one class compared to others?
For example in this image, just show elements where the value is included between 23500 and 29000 and hide other elements.
I suggest to 1/ filter data and 2/ fill with the same color these elements but surely it's easier.
Here is my code : https://plnkr.co/edit/ga82Syjc8zxTdAxTVNXu?p=preview
<!DOCTYPE html>
<head>
<meta charset="utf-8">
<script src="https://unpkg.com/d3#5.0.0/dist/d3.min.js"></script>
<script src="https://unpkg.com/topojson#3.0.0/dist/topojson.min.js"></script>
</head>
<svg class="carte_evolution">
<style>
</style>
<body>
<script>
let w = 600;
let h = 600;
let view = [0,0,600,600];
//Dimension
let svgCarteEvolution = d3.select(".carte_evolution")
.attr("width", "100%")
.attr("height", h)
.attr("preserveAspectRatio","xMidYMid meet")
.attr("viewBox", `${view[0]},${view[1]},${view[2]},${view[3]}`);
//Map projection
choro = d3.map();
projection = d3.geoConicConformal()
.center([1.282743, 46.328377])
.scale(2600)
.translate([w / 2, h / 2]);
path = d3.geoPath()
.projection(projection);
//Load csv and topojson
promises1 = d3.json("ze_WGS84_UTF8.topojson");
promises2 = d3.csv("data.csv");
Promise.all([promises1, promises2]).then(function(fr){
//Join csv + topojson
let featureCollection = topojson.feature(fr[0],fr[0].objects.ze_WGS84_UTF8)
for (var i=0; i< fr[1].length;i++){
var csvId = fr[1][i].codgeo;
var csvValue0 = parseFloat(fr[1][i].value0);
var csvYear0 = fr[1][i].year0;
for (var j=0; j<featureCollection.features.length;j++){
var jsonId = featureCollection.features[j].properties.codgeo;
if (csvId === jsonId) {
featureCollection.features[j].properties.value0 = csvValue0;
featureCollection.features[j].properties.year0 = csvYear0;
break;
}
}
}
let color = d3.scaleQuantile()
.range(["#d1e0c9","#b3cea8","#8fb983","#539f53","#008d36"]);
color.domain([
12000,17500,19500,21500,23500,29000
]);
//Map
svgCarteEvolution.append("g")
.selectAll("path")
.data(featureCollection.features)
.enter()
.append("path")
.attr("class", "dep")
.attr("d", path)
.style("fill", function(d){
var value = d.properties["value0"];
return value? color(value):"#ccc";
});
//legend
let legend = svgCarteEvolution.selectAll("g.legend_entree")
.data(color.range().reverse())
.enter()
.append("g")
.attr("class","legend_entree");
legend
.append('rect')
.attr("x", 30)
.attr("y", function(d, i) {
return 65 + i * 20;
})
.attr("width", 20)
.attr("height", 10)
.style("stroke", "black")
.style("stroke-width", 0.1)
.style("fill", function(d){return d;});
//the data objects are the fill colors
legend
.append('text')
.attr("x", 55) //leave 5 pixel space after the <rect>
.attr("y", function(d, i) {
return 65 + i * 20;
})
.attr("dy", "0.8em") //place text one line *below* the x,y point
.style("font-family","latomedium")
.style("font-size","0.9em")
.text(function(d,i) {
var extent = color.invertExtent(d);
//extent will be a two-element array, format it however you want:
var format = d3.format("");
return `${format(+extent[0])} - ${format(+extent[1])}`
});
});
</script>
</body>
</html>
data.csv
"codgeo","year0","value0","year1","value1"
"0050",2012,19162,2014,19698.8
"0051",2012,18501.125,2014,19125.5
"0052",2012,18684.6666666667,2014,19454
"0053",2012,19826,2014,20573.9
"0054",2012,18881.1111111111,2014,19513
"0055",2012,17942.5,2014,18657.3
"0056",2012,19299.0476190476,2014,19703.9
"0057",2012,18873.8095238095,2014,19539.3
"0059",2012,18199,2014,18719
"0060",2012,18921,2014,19563.2
"0061",2012,21259.5238095238,2014,21748.3
"0101",2012,,2014,
"0102",2012,,2014,
"0103",2012,,2014,
"0106",2012,,2014,
"0201",2012,,2014,17250
"0202",2012,,2014,17246.7
"0203",2012,,2014,14972
"0204",2012,,2014,14612.6
"0205",2012,,2014,15617.3
"0206",2012,,2014,13369
"0301",2012,,2014,
"0302",2012,,2014,
"0303",2012,,2014,
"0401",2012,,2014,12522.3
"0402",2012,,2014,15483.8
"0403",2012,,2014,14344.6
"0404",2012,,2014,13134
"0601",2012,,2014,
"1101",2012,23144.7619047619,2014,23464
"1102",2012,22223.5,2014,22729.1
"1103",2012,20637.2222222222,2014,21088
"1104",2012,20402,2014,20901
"1105",2012,21782.7777777778,2014,22274.4
"1106",2012,18304.375,2014,18918
"1107",2012,20038.6666666667,2014,20406.5
"1108",2012,19493,2014,19936.5
"1109",2012,28156.8901098901,2014,28660
"1110",2012,20294.8,2014,20639.5
"1111",2012,22490.6666666667,2014,22812.4
"1112",2012,25996.6666666667,2014,26503.5
"1113",2012,25301.7391304348,2014,25639.6
"1114",2012,21184,2014,21611.9
"1115",2012,20586,2014,20954
"1116",2012,25449.5,2014,25742.4
"1117",2012,22279.3333333333,2014,22665
"1118",2012,19040,2014,19307.2
"1119",2012,22059.0909090909,2014,22519
"2101",2012,17416,2014,18133.9
"2102",2012,18721,2014,19275.4
"2103",2012,19554.7826086957,2014,20204
"2104",2012,20352.8571428571,2014,20892.8
"2105",2012,19630.5555555556,2014,20157.6
"2106",2012,18689,2014,19445.2
"2107",2012,17676.6666666667,2014,18309.1
"2201",2012,19209.5238095238,2014,19791
"2202",2012,17090,2014,17820
"2203",2012,16258.6666666667,2014,17014
"2204",2012,17987.619047619,2014,18675.2
"2205",2012,17320.8333333333,2014,18056
"2206",2012,18163.2,2014,18851
"2207",2012,19732.1428571429,2014,20284.7
"2208",2012,19973.3333333333,2014,20690
"2209",2012,17625,2014,18402
"2210",2012,18778.0952380952,2014,19447.6
"2211",2012,17420,2014,18158.8
"2301",2012,18978.8461538462,2014,19609.3
"2302",2012,19920,2014,20419
"2303",2012,18947,2014,19704.7
"2304",2012,20011.7391304348,2014,20639
"2305",2012,18633.4166666667,2014,19348.6
"2306",2012,19222.6666666667,2014,19937.6
"2307",2012,19716,2014,20349.3
"2401",2012,19496,2014,20116.7
"2402",2012,17587.3913043478,2014,18264.3
"2403",2012,18039.3333333333,2014,18668.9
"2404",2012,20862,2014,21386.8
"2405",2012,19088,2014,19617.5
"2406",2012,19682,2014,20246
"2407",2012,17765,2014,18244
"2408",2012,18813.3333333333,2014,19590.5
"2409",2012,18460.8695652174,2014,19134
"2410",2012,19341.3333333333,2014,20286.2
"2411",2012,18503.5,2014,19170
"2412",2012,20074.7619047619,2014,20669
"2413",2012,19886,2014,20426.5
"2414",2012,18549,2014,19111.7
"2415",2012,19298.0952380952,2014,19929
"2416",2012,19159.5833333333,2014,19763.3
"2417",2012,19013.3333333333,2014,19521.9
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Your instincts will work - filter the path data according to the color:
features.filter(function(feature) {
return color(feature.properties["value0"]) == d;
})
I saved your feature paths in the variable features in the plunkrs below
As the datum of each legend entry is a color, we can just filter the paths based on which datum would produce the same color when scaled. We could alternatively give class names or apply other indicators to filter.
Color the filtered paths on the event, revert all paths on some sort anti-event. Since you haven't said what will reset the map, I'll assume if you click on the same legend entry twice in a row the map should reset (this lets you toggle between each legend entry). To do so we'll need to keep track of which legend entry is currently in focus:
var highlighted = "";
Then we just listen for a click event on the legend entry and:
.on("click",function(d,i) {
highlighted = ""; //reset
// revert map back to default state
}
else {
highlighted = d;
// filter features to highlight certain ones.
})
Altogether that might look like:
.on("click",function(d,i) {
// clicking an active entry: reset:
if(highlighted == d) {
// reset opacity on each path:
features.style("opacity",1);
// reset legend entries' fills:
legend.selectAll("rect")
.style("fill",function(d) { return d; });
// reset highlight variable since nothing is highlighted
highlighted = "";
}
// clicking a different entry: highlight that entry:
else {
//update highlighted variable
highlighted = d;
// set opacity low for all features, filter for chosen features and style accordingly:
features.style("opacity",0.2)
.filter(function(f) {
return color(f.properties["value0"]) == d;
})
.style("opacity",1);
// hollow legend entries
legend.selectAll("rect")
.style("fill","white")
// fill selected option:
d3.select(this).select("rect")
.style("fill",function(d) { return d;});
}
})
Which looks something like:
(I'm formatting the legend entries to show what is highlighted - I changed your stroke to accomodate this)
Here's an updated plunkr.
If you want to be able to toggle multiple legend items at once, then the logic gets a bit more detailed and the highlighted variable becomes an array
As an alternative with mouseover/off events rather than clicks (so no need to track what is actively shown), here's a slightly different approach using the same principles: plunkr

Updating several d3.js cartograms in the same container

I'm trying to update 4 cartograms in the same div.
First I create 4 original maps, each in its own svg, like this:
function makeMaps(data){
var mapsWrapper = d3.select('#maps');
data.forEach(function(topoJSON,i){
var quantize = d3.scale.quantize()
.domain([0, 1600000])
.range(d3.range(5).map(function(i) { return "q" + i; }));
var layer = Object.keys(topoJSON.objects)[0]
var svg = mapsWrapper.append('svg')
.attr("class","mapa")
.attr({
width: "350px",
height: "350px"
});
var muns = svg.append("g")
.attr("class", "muns")
.attr("id",layer)
.selectAll("path");
var geometry = topoJSON.objects[layer].geometries;
var carto = cartos[i]
var features = carto.features(topoJSON, geometry),
path = d3.geo.path()
.projection(projections[i]);
muns.data(features)
.enter()
.append("path")
.attr("class", function(d) {
return quantize(d.properties['POB1']);
})
.attr("d", path);
});
}
This part works well and creates 4 maps. After this, I want to update the paths in each map with the paths calculated by cartogram.js. The problem is that I can't get to the path data in each of the maps, here's what I'm trying to do:
...some code to calculate cartogram values
var cartograms = d3.selectAll(".mapa").selectAll("g").selectAll("path")
cartograms.forEach(function(region,i){
region.data(carto_features[i])
.select("title")
.text(function (d) {
return d.properties.nom_mun+ ': '+d.properties[year];
});
In cartograms I'm getting a nested selection: an array of paths for each map, which is what I though I needed, but inside the forEach I get the error region.data() is not a function. Each region is an array of paths each of which has a data property. I've tried with several ways of selecting the paths to no avail and I'm a little lost now. Thanks for your help

d3: Adding and removing force.nodes based on slider values

I had some difficulty a while back adding and removing nodes based on user input which was solved by updating the entire set of objects pushed into force.nodes() each time the user selected which they wanted to view from a list of checkboxes.
Updating from a slider however I think requires a more finesse touch - I don't want to update the entire set every time the slider is moved. I want to push and pop nodes in and out of force.nodes().
With my current code the nodes are coming out just fine - they're just not going back in. jsfiddle here - https://jsfiddle.net/hiwilson1/ancmtxux/3/
This is the part causing problems;
function brushed() {
var exists;
//var newd = new Date(2013, 05, 01)
data.forEach(function(d, i) {
//if data point in range (between extent 0 and 1)
if (d.date >= brush.extent()[0] && d.date <= brush.extent()[1]) {
exists = force.nodes().some(function(node, i) {
//check if data point already exists in force.nodes()
return (node.mIndex == d.mIndex)
})
console.log(exists)
if (!exists) {
force.nodes().push(d)
}
}
else {
force.nodes().splice(i, 1)
}
})
d3.select("#nodeCount").text(force.nodes().length)
}
For each data point, I'm checking whether or not the point lies between extent()[0] and [1]. If it does, then check force.nodes() to see if it's currently a member there. If it isn't, then push it into force.nodes().
If the data point doesn't lie between the extents then splice it from force.nodes(). This last bit works just fine.
UPDATE: Fixed. I actually also worked out how to filter links attached to nodes as well. jsfiddle here - https://jsfiddle.net/hiwilson1/7oumeat5/2/. Never try and do this with indexes/hard coded indexes, compare the nodes/links as objects.
Incidentally I'm seeing links over the top of nodes. If there's some way to fix this I'd be happy to hear it.
FURTHER UPDATE: To ensure links behind nodes use .insert("line", ":first-child") in place of .append("line")

There are a few problems with your current code. The fundamental problem is that you're giving data to force.nodes(), which means that the two data structures are actually the same. That is, when you're removing elements from force.nodes(), you're modifying the underlying data as well. Hence you can't add them back -- they're gone.
This is easily fixed by passing a copy of data to force.nodes():
var force = d3.layout.force()
.nodes(JSON.parse(JSON.stringify(data)))
Then you're removing the wrong nodes from force.nodes() -- the index you're using is for data, not force.nodes(). You can compute the index of the data element in force.nodes() and use it like this:
data.forEach(function(d, i) {
var idx = -1;
force.nodes().forEach(function(node, j) {
if(node.mIndex == d.mIndex) {
idx = j;
}
});
//if data point in range (between extent 0 and 1)
if (d.date >= brush.extent()[0] && d.date <= brush.extent()[1]) {
if (idx == -1) {
force.nodes().push(d)
}
}
else if(idx > -1) {
force.nodes().splice(idx, 1)
}
Finally, you need to call force.start() at the end of brushed for the changes to become visible after the layout has settled down.
Complete example here.

Building on the answer from the mighty #Lars Kotthoff, who fixed your technical problem, I will focus on the architecture. Here is an architecture that is simpler and more in keeping with d3 idiom.
The main principles are:
Use Array.prototype.filter() to manage the data
Use standard, data driven patterns.
Drive the visualisation by managing the data and then use the standard, general update pattern to drive the changes into the vis.
Seperate data events and animation events.
Respond to the data changes only when need... do it in the brushed event, not on every tick. The brushed event is a data event and the tick routine is an animation event. It's not optimal to be managing data on animation events on the off chance that it is required.
Make the entry and exit of the nodes a bit smoother.
The benefit of point 1 is that the filtered array is actually an array of reference to the original data elements, so when the extra state is added on the copied array, it is actually added on the original data array. Thus, the previous state is available when it is filtered back in, hence the smooth exit and entry behaviour. Meanwhile, no elements are deleted in the original data when the brush filters down: only the references to them are deleted in the cloned array. I have to admit I had not expected that but it is a nice discovery, even if by accident!
Of course this only works because the array elements are objects.
working example here...
var width = 700,
height = 600,
padding = 20;
var start = new Date(2013, 0, 1),
end = new Date(2013, 11, 31)
var data = []
for (i = 0; i < 100; i++) {
var point = {}
var year = 2013;
var month = Math.floor(Math.random() * 12)
var day = Math.floor(Math.random() * 28)
point.date = new Date(year, month, day)
point.mIndex = i
data.push(point)
}
var force = d3.layout.force()
.size([width - padding, height - 100])
.on("tick", tick)
.start()
var svg = d3.select("body").append("svg")
.attr({
"width": width,
"height": height
})
//build stuff
var x = d3.time.scale()
.domain([start, end])
.range([padding, width - 6 * padding])
.clamp(true)
var xAxis = d3.svg.axis()
.scale(x)
.tickSize(0)
.tickPadding(20)
//.tickFormat(d3.time.format("%x"))
var brush = d3.svg.brush()
.x(x)
.extent([start, end])
.on("brush", brushed1)
//append stuff
var slidercontainer = svg.append("g")
.attr("transform", "translate(100, 500)")
var axis = slidercontainer.append("g")
.call(xAxis)
var slider = slidercontainer.append("g")
.call(brush)
.classed("slider", true)
//manipulate stuff
d3.selectAll(".resize").append("circle")
.attr("cx", 0)
.attr("cy", 0)
.attr("r", 10)
.attr("fill", "Red")
.classed("handle", true)
d3.select(".domain")
.select(function () { return this.parentNode.appendChild(this.cloneNode(true)) })
.classed("halo", true)
function brushed1(e) {
var nodes = includedNodes(data, brush);
nodes.enter().append("circle")
.attr("r", 10)
.attr("fill", "red")
.call(force.drag)
.attr("class", "node")
.attr("cx", function (d) { return d.x })
.attr("cy", function (d) { return d.y })
nodes
.exit()
.remove()
force
.nodes(includedData(data, brush))
.start()
}
function includedData(data, brush) {
return data.filter(function (d, i, a) {
return d.date >= brush.extent()[0] && d.date <= brush.extent()[1]
})
}
function includedNodes(data, brush) {
return svg.selectAll(".node")
.data(includedData(data, brush), function (d, i) {
return d.mIndex
})
}
function tick() {
includedNodes(data, brush)
.attr("cx", function (d) { return d.x })
.attr("cy", function (d) { return d.y })
}
brushed1()
.domain {
fill: none;
stroke: #000;
stroke-opacity: .3;
stroke-width: 10px;
stroke-linecap: round;
}
.halo {
fill: none;
stroke: #ddd;
stroke-width: 8px;
stroke-linecap: round;
}
.tick {
font-size: 10px;
}
.selecting circle {
fill-opacity: .2;
}
.selecting circle.selected {
stroke: #f00;
}
.handle {
fill: #fff;
stroke: #000;
stroke-opacity: .5;
stroke-width: 1.25px;
cursor: crosshair;
}
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.4.11/d3.min.js"></script>
<p id="nodeCount"></p>