D3: Y axis prints won't update with new data

D3: Y axis prints won't update with new data - javascript

I'm working with the D3 library and I have a Y-axis only that I want to update when my new data is updated. The new data is updated when the slider changes numbers and that works fine. The problem is that the new axis prints over the old one. I need the old ones to be removed obviously and the new ones replacing it when the data is changed. Would appreciate any help on this, thanks.
<script type="text/javascript">
var myYear = 2006;
//Width and height
var w = 1000;
var h = 500;
var barPadding = 20;
var myNames = ["Pedestrian", "Bicycle", "Motorbike", "Car", "Other"];
//Original data
var dataset = [
[
{ y: 20 }, //male
{ y: 4 },
{ y: 16},
{ y: 53},
{ y: 15 }
],
[
{ y: 12 }, //female
{ y: 4 },
{ y: 3 },
{ y: 36 },
{ y: 2 }
],
];
console.log(dataset);
//Set up stack method
var stack = d3.layout.stack();
//Data, stacked
stack(dataset);
//Set up scales
var xScale = d3.scale.ordinal()
.domain(d3.range(dataset[0].length))
.rangeRoundBands([30, w], 0.05);
var yScale = d3.scale.linear()
.domain([0,
d3.max(dataset, function(d) {
return d3.max(d, function(d) {
return d.y0 + d.y;
});
})
])
.range([0, h]);
yScale2 = d3.scale.linear() //for Y axis
.domain([0,
d3.max(dataset, function(d) {
return d3.max(d, function(d) {
return d.y0 + d.y;
});
})
])
.range([h-10, 0]);
//Easy colors accessible via a 10-step ordinal scale
// var colors = d3.scale.category20c();
var color = d3.scale.ordinal()
.domain(["Male", "Female"])
.range(["#00B2EE", "#FF69B4"]);
//Create SVG element
var svg = d3.select("body")
.append("svg")
.attr("width", w)
.attr("height", h);
// Add a group for each row of data
var groups = svg.selectAll("g")
.data(dataset)
.enter()
.append("g")
.style("fill", function(d, i) {
return color(i);
});
//Define X axis
var xAxis = d3.svg.axis()
.scale(xScale)
.orient("bottom")
.ticks(5);
//Define Y axis
var yAxis = d3.svg.axis()
.scale(yScale2)
.orient("left")
.ticks(5);
// Add a rect for each data value
groups.selectAll("rect")
.data(function(d) { return d; })
.enter()
.append("rect")
.attr("x", function(d, i) {
return xScale(i)
})
.attr("width", xScale.rangeBand())
.attr("y", function(d) {
return h - yScale(d.y0) - yScale(d.y) -20
})
.attr("height", function(d) {
return yScale(d.y)
})
.on("mouseover", function(d) {
//Get this bar's x/y values, then augment for the tooltip
d3.select(this)
.attr("stroke", "white")
.attr("stroke-width", "3px")
var xPosition = parseFloat(d3.select(this).attr("x")) + xScale.rangeBand() / 2; var yPosition = parseFloat(d3.select(this).attr("y")) / 2 + h / 2;
//Update the tooltip position and value
d3.select("#tooltip")
.style("left", xPosition + "px")
.style("top", yPosition + "px")
.select(".deathCount")
.text(d.y);
//Show the tooltip
d3.select("#tooltip").classed("hidden", false);
})
.on("mouseout", function(d) {
//Hide the tooltip
d3.select("#tooltip").classed("hidden", true);
d3.select(this)
.transition()
.duration(2000)
.attr("stroke", "none")
// .attr("fill", "rgb(0, 0, " + (d * 1) + ")");
});
///////// MOUSE CLICK TO CHANGE DATA //////////////////////////////
function data2012() {
dataset = [
[
{ y: 20 }, //male
{ y: 4 },
{ y: 16},
{ y: 53},
{ y: 15 }
],
[
{ y: 12 }, //female
{ y: 4 },
{ y: 3 },
{ y: 36 },
{ y: 2 }
],
];
}
function data2011() {
dataset = [
[
{ y: 33 }, //male
{ y: 9 },
{ y: 17},
{ y: 57},
{ y: 14 }
],
[
{ y: 14 }, //female
{ y: 0 },
{ y: 1 },
{ y: 38 },
{ y: 3 }
],
];
}
function data2010() {
dataset = [
[
{ y: 26 }, //male
{ y: 7 },
{ y: 25},
{ y: 106},
{ y: 18 }
],
[
{ y: 14 }, //female
{ y: 0 },
{ y: 0 },
{ y: 40 },
{ y: 2 }
],
];
}
function data2009() {
dataset = [
[
{ y: 31 }, //male
{ y: 11 },
{ y: 28},
{ y: 102},
{ y: 27 }
],
[
{ y: 17 }, //female
{ y: 2 },
{ y: 1 },
{ y: 55 },
{ y: 0 }
],
];
}
function updateData() {
// RE-SET SCALES AND LAYOUT
d3.select("g").selectAll("svg").remove();
//Data, stacked
stack(dataset);
//Set up scales
xScale = d3.scale.ordinal()
.domain(d3.range(dataset[0].length))
.rangeRoundBands([30, w], 0.05);
yScale = d3.scale.linear()
.domain([0,
d3.max(dataset, function(d) {
return d3.max(d, function(d) {
return d.y0 + d.y;
});
})
])
.range([0, h]);
// d3.selectAll(yAxis).remove(); //new stuff
groups = svg.selectAll("g")
.data(dataset)
//Update all rects
var gas = groups.selectAll("rect")
.data(function(d) {return d;});
gas
.exit
.remove;
gas
.transition()
.duration(750)
.ease("linear")
.attr("width", xScale.rangeBand())
.attr("y", function(d) {
return h - yScale(d.y0) - yScale(d.y) - 20
})
.attr("height", function(d) {
return yScale(d.y)
})
.attr("x", function(d, i) {
return xScale(i);
});
// d3.select(yAxis).remove();
//REDRAW Y AXIS
yScale2 = d3.scale.linear()
.domain([0,
d3.max(dataset, function(d) {
return d3.max(d, function(d) {
return d.y0 + d.y;
});
})
])
.range([h-10, 0]);
yAxis = d3.svg.axis()
.scale(yScale2)
.orient("left")
.ticks(5);
svg.append("g")
.attr("class", "axis")
.attr("transform", "translate(" + 30 + ",-10)")
.transition()
.duration(500)
.call(yAxis)
}
//SLIDER STUFF
xAxis = d3.svg.axis()
.scale(xScale)
.orient("bottom")
.ticks(5)
.tickFormat(function(d) {
return myNames[d];
});
//Create Y axis
svg.append("g")
.attr("class", "axis")
.attr("transform", "translate(" + 30 + ",-10)")
// .call(yAxis);
svg.append("g")
.attr("class", "axis")
.attr("transform", "translate(0," + (h - barPadding ) + ")")
.transition()
.duration(500)
.call(xAxis)
</script>
<script> //Jquery slider
$(function() {
$( "#slider" ).slider({
value:2012,
min: 2009,
max: 2012,
step: 1,
slide: function( event, ui ) {
$( "#amount" ).val( ui.value );
myYear = ui.value;
console.log(myYear);
if (myYear == 2012){
data2012();
}
if (myYear == 2011){
data2011();
}
if (myYear == 2010){
data2010();
}
if (myYear == 2009){
data2009();
}
updateData();
// console.log(myYear);
}
});

In your updateData() function don't re-append the axis. Do it once on initial and then update it. This is consistent with d3's enter, update, and exit pattern.
function updateData(){
...
yScale2 = d3.scale.linear()
.domain([0,
d3.max(dataset, function(d) {
return d3.max(d, function(d) {
return d.y0 + d.y;
});
})
])
.range([h - 10, 0]);
// set scale
yAxis.scale(yScale2);
// redraw it
d3.select('.yaxis').call(yAxis);
}
Example here.

Related

How to plot data points on multi-line chart with multiple y axes

I am trying to add data points to my line chart with multiple y axes. Click here for my fiddle.
//after restructuring dataset array
var data = [{
data: [{
x: 0,
y: 0
}, {
x: 10,
y: 10
}, {
x: 20,
y: 20
}, {
x: 30,
y: 30
}, {
x: 40,
y: 40
}],
yAxis: 0,
}, {
data: [{
x: 0,
y: 0
}, {
x: 10,
y: 200
}, {
x: 20,
y: 300
}, {
x: 30,
y: 400
}, {
x: 40,
y: 500
}],
yAxis: 1,
}];
const margin = {
left: 20,
right: 20,
top: 20,
bottom: 80
};
const svg = d3.select('svg');
svg.selectAll("*").remove();
const width = 200 - margin.left - margin.right;
const height = 200 - margin.top - margin.bottom;
const g = svg.append('g').attr('transform', `translate(${80},${margin.top})`);
//************* Axes and Gridlines ***************
const xAxisG = g.append('g');
const yAxisG = g.append('g');
xAxisG.append('text')
.attr('class', 'axis-label')
.attr('x', width / 3)
.attr('y', -10)
.style('fill', 'black')
.text(function(d) {
return "X Axis";
});
yAxisG.append('text')
.attr('class', 'axis-label')
.attr('id', 'yAxisLabel0')
.attr('x', -height / 2)
.attr('y', -15)
.attr('transform', `rotate(-90)`)
.style('text-anchor', 'middle')
.style('fill', 'black')
.text(function(d) {
return "Y Axis 1";
});
// interpolator for X axis -- inner plot region
var x = d3.scaleLinear()
.domain([0, d3.max(xValueArray)])
.range([0, width])
.nice();
var yScale = new Array();
for (var i = 0; i < 2; i++) {
// interpolator for Y axis -- inner plot region
var y = d3.scaleLinear()
.domain([0, d3.max(arr[i])])
.range([0, height])
.nice();
yScale.push(y);
}
const xAxis = d3.axisTop()
.scale(x)
.ticks(5)
.tickPadding(2)
.tickSize(-height)
const yAxis = d3.axisLeft()
.scale(yScale[0])
.ticks(5)
.tickPadding(2)
.tickSize(-width);
yAxisArray = new Array();
yAxisArray.push(yAxis);
for (var i = 1; i < 2; i++) {
var yAxisSecondary = d3.axisLeft()
.scale(yScale[i])
.ticks(5)
yAxisArray.push(yAxisSecondary);
}
svg.append("g")
.attr("class", "x axis")
.attr("transform", `translate(80,${height-80})`)
.call(xAxis);
svg.append("g")
.attr("class", "y axis")
.attr("id", "ySecAxis0")
.attr("transform", "translate(80,20)")
.call(yAxis);
var translation = 50;
var textTranslation = 0;
var yLabelArray = ["Y Axis 1", "Y Axis 2"];
//loop starts from 1 as primary y axis is already plotted
for (var i = 1; i < 2; i++) {
svg.append("g")
.attr("transform", "translate(" + translation + "," + 20 + ")")
.attr("id", "ySecAxis" + i)
.call(yAxisArray[i]);
yAxisG.append('text')
.attr('x', -height / 2)
.attr('y', -60)
.attr('transform', `rotate(-90)`)
.attr("id", "yAxisLabel" + i)
.style('text-anchor', 'middle')
.style('fill', 'black')
.text(yLabelArray[i]);
translation -= 40;
textTranslation += 40;
}
//************* Lines and Data Points ***************
var colors = ["blue", "red"];
var thisScale;
var line = d3.line()
.x(d => x(d.x))
.y(d => thisScale(d.y))
.curve(d3.curveLinear);
var paths = g.selectAll("foo")
.data(data)
.enter()
.append("path");
paths.attr("stroke", function (d,i){return colors[i]})
.attr("d", d => {
thisScale = yScale[d.yAxis]
return line(d.data);
})
.attr("stroke-width", 2)
.attr("id", function (d,i){return "line" + i})
.attr("fill", "none");
var points = g.selectAll("dot")
.data(data)
.enter()
.append("circle");
points.attr("cx", function(d) { return x(d.x)} )
.attr("cy", function(d,i) { return yScale[i](d.y); } )
.attr("r", 3)
.attr("class", function (d,i){return "blackDot" + i})
.attr("clip-path", "url(#clip)")
Right now the console log is showing these errors: Error: attribute cx: Expected length, "NaN". Error: attribute cy: Expected length, "NaN". It seems like I am not attributing the correct cx and cy to points, but I can't figure out what I am doing wrongly. Any help is greatly appreciated!

Your data structure is an array of objects, each one containing an inner array with the real coordinates for the circles. Therefore, that single enter selection will not work.
With minimal refactoring, my solution here is appending groups according to the objects, and then, for each one, appending circles according to the inner arrays. For that cumbersome yScale to work you cannot rely on the circle's indices anymore, so I'm using a local variable here:
var pointsGroup = g.selectAll(null)
.data(data)
.enter()
.append("g")
.attr("fill", function(d, i) {
local.set(this, yScale[i])
return colors[i];
});
var points = pointsGroup.selectAll(null)
.data(function(d) {
return d.data
})
.enter()
.append("circle")
.attr("cx", function(d) {
return x(d.x)
})
.attr("cy", function(d, i) {
return local.get(this)(d.y);
})
//etc...
Here is the code with those changes:
var local = d3.local();
var xValueArray = [0, 10, 20, 30, 40];
var arr = [
[0, 10, 20, 30, 40],
[0, 200, 300, 400, 500]
];
var dataset = [
[{
x: 0,
y: 0
}, {
x: 10,
y: 10
}, {
x: 20,
y: 20
}, {
x: 30,
y: 30
}, {
x: 40,
y: 40
}],
[{
x: 0,
y: 0
}, {
x: 10,
y: 200
}, {
x: 20,
y: 300
}, {
x: 30,
y: 400
}, {
x: 40,
y: 500
}]
];
var data = [];
for (var i = 0; i < 2; i++) {
data.push({
"data": dataset[i],
"yAxis": i
})
}
console.log(data);
//after restructuring dataset array
var data = [{
data: [{
x: 0,
y: 0
}, {
x: 10,
y: 10
}, {
x: 20,
y: 20
}, {
x: 30,
y: 30
}, {
x: 40,
y: 40
}],
yAxis: 0,
}, {
data: [{
x: 0,
y: 0
}, {
x: 10,
y: 200
}, {
x: 20,
y: 300
}, {
x: 30,
y: 400
}, {
x: 40,
y: 500
}],
yAxis: 1,
}];
const margin = {
left: 20,
right: 20,
top: 20,
bottom: 80
};
const svg = d3.select('svg');
svg.selectAll("*").remove();
const width = 200 - margin.left - margin.right;
const height = 200 - margin.top - margin.bottom;
const g = svg.append('g').attr('transform', `translate(${80},${margin.top})`);
//************* Axes and Gridlines ***************
const xAxisG = g.append('g');
const yAxisG = g.append('g');
xAxisG.append('text')
.attr('class', 'axis-label')
.attr('x', width / 3)
.attr('y', -10)
.style('fill', 'black')
.text(function(d) {
return "X Axis";
});
yAxisG.append('text')
.attr('class', 'axis-label')
.attr('id', 'yAxisLabel0')
.attr('x', -height / 2)
.attr('y', -15)
.attr('transform', `rotate(-90)`)
.style('text-anchor', 'middle')
.style('fill', 'black')
.text(function(d) {
return "Y Axis 1";
});
// interpolator for X axis -- inner plot region
var x = d3.scaleLinear()
.domain([0, d3.max(xValueArray)])
.range([0, width])
.nice();
var yScale = new Array();
for (var i = 0; i < 2; i++) {
// interpolator for Y axis -- inner plot region
var y = d3.scaleLinear()
.domain([0, d3.max(arr[i])])
.range([0, height])
.nice();
yScale.push(y);
}
const xAxis = d3.axisTop()
.scale(x)
.ticks(5)
.tickPadding(2)
.tickSize(-height)
const yAxis = d3.axisLeft()
.scale(yScale[0])
.ticks(5)
.tickPadding(2)
.tickSize(-width);
yAxisArray = new Array();
yAxisArray.push(yAxis);
for (var i = 1; i < 2; i++) {
var yAxisSecondary = d3.axisLeft()
.scale(yScale[i])
.ticks(5)
yAxisArray.push(yAxisSecondary);
}
svg.append("g")
.attr("class", "x axis")
.attr("transform", `translate(80,${height-80})`)
.call(xAxis);
svg.append("g")
.attr("class", "y axis")
.attr("id", "ySecAxis0")
.attr("transform", "translate(80,20)")
.call(yAxis);
var translation = 50;
var textTranslation = 0;
var yLabelArray = ["Y Axis 1", "Y Axis 2"];
//loop starts from 1 as primary y axis is already plotted
for (var i = 1; i < 2; i++) {
svg.append("g")
.attr("transform", "translate(" + translation + "," + 20 + ")")
.attr("id", "ySecAxis" + i)
.call(yAxisArray[i]);
yAxisG.append('text')
.attr('x', -height / 2)
.attr('y', -60)
.attr('transform', `rotate(-90)`)
.attr("id", "yAxisLabel" + i)
.style('text-anchor', 'middle')
.style('fill', 'black')
.text(yLabelArray[i]);
translation -= 40;
textTranslation += 40;
}
//************* Mouseover ***************
var tooltip = d3.select("body")
.append("div")
.style("opacity", 0)
.attr("class", "tooltip")
.style("background-color", "white")
.style("border", "solid")
.style("border-width", "1px")
.style("border-radius", "5px")
.style("padding", "10px")
.style("position", "absolute")
var mouseover = function(d) {
tooltip
.html("x: " + d.x + "<br/>" + "y: " + d.y)
.style("opacity", 1)
.style("left", (d3.mouse(this)[0] + 90) + "px")
.style("top", (d3.mouse(this)[1]) + "px")
}
// A function that change this tooltip when the leaves a point: just need to set opacity to 0 again
var mouseleave = function(d) {
tooltip
.transition()
.duration(200)
.style("opacity", 0)
}
//************* Lines and Data Points ***************
var colors = ["blue", "red"];
var thisScale;
var line = d3.line()
.x(d => x(d.x))
.y(d => thisScale(d.y))
.curve(d3.curveLinear);
var paths = g.selectAll("foo")
.data(data)
.enter()
.append("path");
paths.attr("stroke", function(d, i) {
return colors[i]
})
.attr("d", d => {
thisScale = yScale[d.yAxis]
return line(d.data);
})
.attr("stroke-width", 2)
.attr("id", function(d, i) {
return "line" + i
})
.attr("fill", "none");
var pointsGroup = g.selectAll(null)
.data(data)
.enter()
.append("g")
.attr("fill", function(d, i) {
local.set(this, yScale[i])
return colors[i];
});
var points = pointsGroup.selectAll(null)
.data(function(d) {
return d.data
})
.enter()
.append("circle")
.attr("cx", function(d) {
return x(d.x)
})
.attr("cy", function(d, i) {
return local.get(this)(d.y);
})
.attr("r", 3)
.attr("class", function(d, i) {
return "blackDot" + i
})
.attr("clip-path", "url(#clip)")
.on("mouseover", mouseover)
.on("mouseleave", mouseleave)
//plot lines (hard-coding)
/*var lineFunction1 = d3.line()
.x(function(d) {
return x(d.x);
})
.y(function(d) {
return yScale[0](d.y);
})
.curve(d3.curveLinear);
var lineFunction2 = d3.line()
.x(function(d) {
return x(d.x);
})
.y(function(d) {
return yScale[1](d.y);
})
.curve(d3.curveLinear);
var path1 = g.append("path")
.attr("class", "path" + 0)
.attr("id", "line" + 0)
.attr("d", lineFunction1(data[0]))
.attr("stroke", "blue")
.attr("stroke-width", 2)
.attr("fill", "none")
.attr("clip-path", "url(#clip)");
var path2 = g.append("path")
.attr("class", "path" + 1)
.attr("id", "line" + 1)
.attr("d", lineFunction2(data[1]))
.attr("stroke", "red")
.attr("stroke-width", 2)
.attr("fill", "none")
.attr("clip-path", "url(#clip)");*/
//plot lines and points using for loop
/*for (var i = 0; i < 2; i++) {
var lineFunction = d3.line()
.x(function(d) {
return x(d.x);
})
.y(function(d) {
return yScale[i](d.y);
})
.curve(d3.curveLinear);
var paths = g.append("path")
.attr("class", "path" + i)
.attr("id", "line" + i)
.attr("d", lineFunction(data[i]))
.attr("stroke", colors[i])
.attr("stroke-width", 2)
.attr("fill", "none")
.attr("clip-path", "url(#clip)")
//plot a circle at each data point
g.selectAll(".dot")
.data(data[i])
.enter().append("circle")
.attr("cx", function(d) { return x(d.x)} )
.attr("cy", function(d) { return yScale[i](d.y); } )
.attr("r", 3)
.attr("class", "blackDot" + i)
.attr("clip-path", "url(#clip)")
.on("mouseover", mouseover)
.on("mouseleave", mouseleave)
}*/
//************* Legend ***************
var legend = svg.selectAll(".legend")
.data(data)
.enter().append("g")
legend.append("rect")
.attr("x", width + 65)
.attr("y", function(d, i) {
return 30 + i * 20;
})
.attr("width", 18)
.attr("height", 4)
.style("fill", function(d, i) {
return colors[i];
})
legend.append("text")
.attr("x", width + 60)
.attr("y", function(d, i) {
return 30 + i * 20;
})
.attr("dy", ".35em")
.style("text-anchor", "end")
.text(function(d, i) {
return "Value" + (i + 1);
})
.on("click", function(d, i) {
// Determine if current line is visible
let opacity = d3.select("#line" + i).style("opacity");
let newOpacity;
if (opacity == 0) {
newOpacity = 1;
} else {
newOpacity = 0
}
d3.select("#line" + i).style("opacity", newOpacity);
d3.selectAll(".blackDot" + i).style("opacity", newOpacity);
d3.select("#ySecAxis" + i).style("opacity", newOpacity);
d3.select("#yAxisLabel" + i).style("opacity", newOpacity);
});
//************* Zoom & Brush***************
const margin2 = {
left: 80,
right: 0,
top: 80,
bottom: 0
};
const height2 = height - margin2.top - margin2.bottom;
var xZoom = d3.scaleLinear().range([0, width]);
var yZoom = d3.scaleLinear().range([height2, 0]);
var xAxis2 = d3.axisTop(xZoom);
var brush = d3.brushX()
.extent([
[0, 0],
[width, height2]
])
.on("brush end", brushed);
var zoom = d3.zoom()
.scaleExtent([1, Infinity])
.translateExtent([
[0, 0],
[width, height]
])
.extent([
[0, 0],
[width, height]
])
.on("zoom", zoomed);
var clip = svg.append("defs").append("svg:clipPath")
.attr("id", "clip")
.append("svg:rect")
.attr("width", width)
.attr("height", height)
.attr("x", 0)
.attr("y", 0);
xZoom.domain(x.domain());
yZoom.domain(y.domain());
var context = svg.append("g")
.attr("class", "context")
.attr("transform", "translate(" + margin2.left + "," + 125 + ")");
context.append("g")
.attr("class", "axis axis--x")
.attr("transform", "translate(0," + height2 + ")")
.call(xAxis2);
context.append("g")
.attr("class", "brush")
.call(brush)
.call(brush.move, x.range());
function brushed() {
if (d3.event.sourceEvent && d3.event.sourceEvent.type === "zoom") return;
var s = d3.event.selection || xZoom.range();
x.domain(s.map(xZoom.invert, xZoom));
svg.select(".x.axis").call(xAxis);
//svg.select(".path0").attr("d", lineFunction1(data[0]));
//svg.select(".path1").attr("d", lineFunction2(data[1]));
for (var i = 0; i < 2; i++) {
//svg.select(".path" + i).attr("d", lineFunction(data[i]));
g.selectAll(".blackDot" + i)
.attr("cx", function(d) {
return x(d.x);
})
.attr("cy", function(d) {
return yScale[i](d.y);
})
.attr("r", 3)
}
}
function zoomed() {
if (d3.event.sourceEvent && d3.event.sourceEvent.type === "brush") return;
var t = d3.event.transform;
x.domain(t.rescaleX(xZoom).domain());
svg.select(".x.axis").transiton(t).call(xAxis);
//svg.select(".path0").transiton(t).attr("d", lineFunction1(data[0]));
//svg.select(".path1").transiton(t).attr("d", lineFunction2(data[1]));
for (var i = 0; i < 2; i++) {
//svg.select(".path" + i).attr("d", lineFunction(data[i]));
g.selectAll(".blackDot" + i)
.attr("cx", function(d) {
return x(d.x);
})
.attr("cy", function(d) {
return yScale[i](d.y);
})
.attr("r", 3)
}
}
.xy_chart {
position: relative;
left: 70px;
top: 100px;
}
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/4.13.0/d3.min.js"></script>
<svg class="xy_chart"></svg>
Pay attention to the fact that one of the circles has an incorrect cy value. So, I'd suggest you to change your y scale approach.

plot not rendered under D3.js version 4

I am trying to port a d3 chart (which I found online) to v4 but for some reason only the axes are shown and nothing else. The code runs without any errors in the console of Chrome's developer tools and I have hit the wall as I am not an advanced d3 user. Any ideas are highly appreciated.
Here are two jsfiddles, in v3 and v4
https://jsfiddle.net/54mp286c/31/
https://jsfiddle.net/54mp286c/36/
and this is the d3 v4 code
var data = [{
"Cell_Num": 0,
"y": 3,
"x": 2
}, {
"Cell_Num": 1,
"y": 3,
"x": 6
}, {
"Cell_Num": 2,
"y": 7,
"x": 1
}, {
"Cell_Num": 3,
"y": 5,
"x": 5
}]
var margin = {
top: 10,
left: 50,
bottom: 30,
right: 10
},
width = 460 - margin.left - margin.right,
height = 300 - margin.top - margin.bottom;
var scale = {
x: d3.scaleLinear().range([0, width]).nice(),
y: d3.scaleLinear().range([height, 0]).nice()
};
var access = {
x: function(d) {
return d.x;
},
y: function(d) {
return d.y;
}
};
var value = {
x: function(d) {
return scale.x(access.x(d));
},
y: function(d) {
return scale.y(access.y(d));
}
};
var axis = {
x: d3.axisBottom(scale.x),
y: d3.axisLeft(scale.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 + ")");
svg.append("g").attr("class", "x axis");
svg.append("g").attr("class", "y axis");
svg.call(renderPlot, data);
function renderPlot(selection, data) {
updateScales(data);
selection.select(".x.axis").call(axis.x)
.attr("transform", "translate(0," + height + ")");
selection.select(".y.axis").call(axis.y);
selection
.call(renderVoronoi, data)
.call(renderPoints, data);
}
function renderVoronoi(selection, data) {
var voronoi = d3.voronoi()
.x(value.x)
.y(value.y)
.extent([
[0, 0],
[width, height]
]);
var polygons = selection.selectAll(".voronoi")
.data(voronoi(data));
polygons.enter().append("path")
.attr("class", "voronoi")
.on("mouseenter", function(d, i) {
var datum = selection.selectAll(".point").data()[i];
selection.call(renderCrosshair, datum);
})
.on("mouseleave", function(d, i) {
selection.selectAll(".crosshair").remove();
});
polygons
.attr("d", d3.line());
polygons.exit()
.remove();
}
function renderCrosshair(selection, datum) {
var lineData = [
// vertical line
[
[value.x(datum), height],
[value.x(datum), 0]
],
// horizontal line
[
[0, value.y(datum)],
[width, value.y(datum)]
]
];
var crosshairs = selection.selectAll(".crosshair.line").data(lineData);
crosshairs.enter().append("path")
.attr("class", "crosshair line");
crosshairs
.attr("d", d3.svg.line());
crosshairs.exit()
.remove();
var labelData = [{
x: -6,
y: value.y(datum) + 4,
text: Math.round(access.y(datum)),
orient: "left"
},
{
x: value.x(datum),
y: height + 16,
text: Math.round(access.x(datum)),
orient: "bottom"
}
];
var labels = selection.selectAll(".crosshair.label").data(labelData);
labels.enter().append("text")
.attr("class", "crosshair label");
labels
.attr("x", function(d) {
return d.x;
})
.attr("y", function(d) {
return d.y;
})
.style("text-anchor", function(d) {
return d.orient === "left" ? "end" : "middle";
})
.text(function(d) {
return d.text;
});
labels.exit().remove();
}
function renderPoints(selection, data) {
var points = selection.selectAll(".point").data(data);
points.enter().append("circle")
.attr("class", "point")
.attr("cx", value.x)
.attr("cy", value.y)
.attr("r", 0)
.style("opacity", 0);
points
.transition().duration(1000)
.attr("cx", value.x)
.attr("cy", value.y)
.attr("r", 2)
.style("opacity", 1);
points.exit()
.transition().duration(1000)
.attr("r", 0)
.style("opacity", 0)
.remove();
}
function updateScales(data) {
var extent = {
x: d3.extent(data, access.x),
y: d3.extent(data, access.y)
};
scale.x.domain([extent.x[0] - 0.5, extent.x[1] + 0.5]);
scale.y.domain([extent.y[0] - 0.5, extent.y[1] + 0.5]);
}
Many thanks!

d3js Multiple Stacked Bar Chart Line Cursor Appearing in Wrong Chart

I am in the middle of creating two related stacked bar charts. Both charts must include a line cursor. The cursor for the top chart works fine, however no line cursor gets displayed in the bottom chart. Worse, when I mouse over the bottom chart, the line cursor within the top chart moves. What needs to be fixed a for line cursor to appear within the bottom chart and either not to affect the top chart or be synchronized with the one in the top chart?
Note: before saying that I am not respecting the "Do Not Repeat Yourself Principle" in my code, note that Kent Beck says: "First, get it to work, then get it right, finally get it to work fast". Also, feel free to skip the data creation section.
Here is my code:
var app = {};
app.allBarsDatasets = [
{
"xAxisTickValue": "10-1",
"barValue": 17
},
{
"xAxisTickValue": "10-2",
"barValue": 17
},
{
"xAxisTickValue": "10-3",
"barValue": 17
}
];
app.allBarsDatasets2 = [
[
{
"xAxisTickValue": "10-1",
"barValue": 10
},
{
"xAxisTickValue": "10-2",
"barValue": 6
},
{
"xAxisTickValue": "10-3",
"barValue": 7
}
],
[
{
"xAxisTickValue": "10-1",
"barValue": 6
},
{
"xAxisTickValue": "10-2",
"barValue": 8
},
{
"xAxisTickValue": "10-3",
"barValue": 10
}
]
];
app.allLinesDatasets =
{
"points": [
{
"x": 1,
"y": 10
},
{
"x": 2,
"y": 8
},
{
"x": 3,
"y": 14
}
],
"color": "blue"
};
app.busStopsWaitTimes = {
"1": {
"days": {
"we": {
"10-1": [
17,
14,
14,
4,
8,
13,
11,
3,
2,
14,
14,
8,
9,
1,
9,
9,
9,
17,
1,
20
],
"10-2": [
13,
12,
3,
5,
18,
14,
17,
5,
9,
12,
19,
3,
8,
9,
20,
3,
14,
5,
7,
13
],
"10-3": [
18,
8,
8,
7,
10,
20,
16,
17,
6,
13,
5,
11,
11,
14,
18,
17,
11,
17,
4,
3
]
}
},
"name": "Adderley"
}
};
app.populateBusStopsWaitSelectionForm = function () {
let stopOptions = `<option value="">Select a stop</option>`;
$.each(app.busStopsWaitTimes, function (idx, stop) {
stopOptions += `<option value={"stopId":${idx}}>${stop.name}</option>`;
});
$("#busStopAnalysis_Stops").html(stopOptions);
}
app.populateBusStopsWaitSelectionForm();
$("#busStopAnalysis_Stops").change(function() {
let values = $("#busStopAnalysis_Stops").val();
if (values !== "") {
values = JSON.parse(values);
let daysOptions = `<option value="">Select a day</option>`;
if ("we" in app.busStopsWaitTimes[values.stopId].days) {
daysOptions += `<option value={"dayKey":"we"}>Wednesday</option>`
}
$("#busStopAnalysis_Days").html(daysOptions);
} else {
$("#busStopAnalysis_Days").html("<option>Please select a route</option>");
}
});
$("#drawBusStopAnalysisChart").on("click", function (evt) {
evt.preventDefault();
const stopInfo = JSON.parse($("#busStopAnalysis_Stops").val());
const dayInfo = JSON.parse($("#busStopAnalysis_Days").val());
if (stopInfo !== "" || dayInfo !== "") {
const allBarsDatasets = [];
const allBarsDatasets2 = [[],[]]
const allLinesdatasets = [];
const linePoints = [];
let i = 1;
$.each(app.busStopsWaitTimes[stopInfo.stopId]["days"][dayInfo.dayKey], function (idx, timeslot) {
timeslot.sort(function (a,b) {
return a - b;
});
let Percentile25th = timeslot[parseInt(timeslot.length / 4)];
let Percentile50th = timeslot[parseInt(timeslot.length / 2)];
let Percentile75th = timeslot[parseInt((timeslot.length / 4) * 3)];
allBarsDatasets.push({
xAxisTickValue: idx,
barValue: Percentile75th
});
allBarsDatasets2[0].push({
xAxisTickValue: idx,
barValue: Percentile25th
});
allBarsDatasets2[1].push({
xAxisTickValue: idx,
barValue: Percentile75th - Percentile25th
});
linePoints.push({x : i, y : Percentile50th});
i++;
});
allLinesdatasets.push({points:linePoints,color:"blue"});
app.drawBusStopAnalysisOneDayChart(allBarsDatasets, allBarsDatasets2, allLinesdatasets);
}
});
app.drawBusStopAnalysisOneDayChart = function (allBarsDatasets, allBarsDatasets2, allLinesdatasets) {
app.allLinesdatasets = allLinesdatasets;
$("#busStopAnalysis_OneDayChart").html("");
var barColor = '#384a60';
// calculate total frequency by state for all segment.
// var fD = app.allBarsDatasets.map(function(d){return [d.xAxisTickValue,d.barValue];});
var fD = allBarsDatasets.map(function(d){return [d.xAxisTickValue,d.barValue];});
var margin = {top: 20, right: 100, bottom: 30, left: 100},
width = 960 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
var padding = 100;
//create svg for histogram.
var svg = d3.select("#busStopAnalysis_OneDayChart").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 + ")");
// create function for x-axis mapping.
var x = d3.scale.ordinal().rangeRoundBands([0, width], 0.1, 0)
.domain(fD.map(function(d) { return d[0]; }));
// Add x-axis to the histogram svg.
svg.append("g").attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(d3.svg.axis()
.scale(x)
.orient("bottom")
.innerTickSize(-height)
.outerTickSize(0)
.tickPadding(10));
// create function for y-axis mapping.
var yMin = 0;
var yMax = d3.max(fD.map(function(d) { return d[1]; }));
var y = d3.scale.linear().range([height, 0])
.domain([0, d3.max(fD, function(d) { return d[1]; })]);
var yScaleGridLines = d3.scale.linear()
.domain([0, yMax])
.range([height, 0]);
var yAxisGridLines = d3.svg.axis()
.scale(yScaleGridLines)
.orient("left")
.innerTickSize(-width)
.outerTickSize(0)
.tickPadding(10);
svg.append("g")
.attr("class", "y axis")
.call(yAxisGridLines);
// You would think d3 draws bar by bar but it draws level by level
// therefore you need to create stacks which are sub-arrays whose contents
// are arrays of elements at the same level
// to achieve that
// call stack,
// call map and iterate over each array
// call map iterate over all elements within an array while creating points based on values to visualize
var layers = d3.layout.stack() (
allBarsDatasets2.map(
function(barDataset) {
return barDataset.map(
function(d) {
return {x: d.xAxisTickValue, y:d.barValue};
}
)
}
)
);
var z = d3.scale.category10();
var layer = svg.selectAll(".layer")
.data(layers)
.enter().append("g")
.attr("class", "layer")
.style("fill", function(d, i) {
var x;
if (i === 0) {
x = "transparent";
} else {
// x = z(i);
x = "#686868";
}
return x;
});
var mouseG = d3.select("#busStopAnalysis_Charts").append("g")
.attr("class", "mouse-over-effects");
// this is the vertical line
svg.append("path")
.attr("class", "mouse-line")
.style("stroke", "black")
.style("stroke-width", "1px")
.style("opacity", "1");
var tooltip = d3.select("#busStopAnalysis_Charts")
.append('div')
.attr('id', 'tooltip');
$("#tooltip").css('display', 'none');
layer.selectAll("rect")
.data(function (d) { return d; })
.enter().append("rect")
.attr("x", function (d) { return x(d.x); })
.attr("y", function (d) { return y(d.y + d.y0); })
.attr("height", function (d) { return y(d.y0) - y(d.y + d.y0); })
.attr("width", x.rangeBand() - 1)
.on("mousemove", function (d) {
var mouse = d3.mouse(this);
// move the vertical line
d3.select(".mouse-line")
.attr("d", function() {
var d = "M" + mouse[0] + "," + height;
d += " " + mouse[0] + "," + 0;
return d;
});
})
.on("mouseover", function (d) {
var mouse = d3.mouse(this);
console.log("first chart");
console.log(mouse);
d3.select("#tooltip")
.style("left", mouse[0] + "px")
.style("top", mouse[1] + "px")
.style("width", "auto")
.style("height", "auto")
.html("Day: " + $("#busStopAnalysis_Days option:selected").text() + "<br>Time Range: " + d.x + "<br>Avg Wait: " + d.y);
$("#tooltip").css("display", "");
app.drawAllDaysStopAnalysisChart(d);
})
.on("mouseout", function() {
$("#tooltip").css("display", "none");
})
.on("click", function (d) {
app.drawAllDaysStopAnalysisChart(d);
});
// Beginning of line things drawing
// Add min and max x and y borrowed from weird lines
var xMin = app.allLinesdatasets.reduce(function(pv,cv){
var currentXMin = cv.points.reduce(function(pv,cv){
return Math.min(pv,cv.x);
},100)
return Math.min(pv,currentXMin);
},100);
var xMax = app.allLinesdatasets.reduce(function(pv,cv){
var currentXMax = cv.points.reduce(function(pv,cv){
return Math.max(pv,cv.x);
},0)
return Math.max(pv,currentXMax);
},0);
var yMin = app.allLinesdatasets.reduce(function(pv,cv){
var currentYMin = cv.points.reduce(function(pv,cv){
return Math.min(pv,cv.y);
},100)
return Math.min(pv,currentYMin);
},100);
var yMax = app.allLinesdatasets.reduce(function(pv,cv){
var currentYMax = cv.points.reduce(function(pv,cv){
return Math.max(pv,cv.y);
},0)
return Math.max(pv,currentYMax);
},0);
var yScaleGridLines = d3.scale.linear()
.domain([0, yMax])
.range([height, 0]);
var yAxisGridLines = d3.svg.axis()
.scale(yScaleGridLines)
.orient("left")
.innerTickSize(-width)
.outerTickSize(0)
.tickPadding(10);
var xScaleGridLines = {};
xScaleGridLines = d3.scale.linear()
.domain([xMin, xMax])
.range([0, width]);
var xAxisGridLines = d3.svg.axis()
.scale(xScaleGridLines)
.orient("bottom")
.innerTickSize(-height)
.outerTickSize(0)
.tickPadding(10);
var lineGridLines = d3.svg.line()
.interpolate('step-after')
.x(function(d) { return xScaleGridLines(d.x); })
.y(function(d) { return yScaleGridLines(d.y); });
$.each(app.allLinesdatasets, function (idx, dataset) {
svg.append("path")
.data([dataset.points])
.attr("class", "line")
.attr("d", lineGridLines)
.style("stroke", function(){
// return dataset.color;
return "#FF9900";
});
});
}
/********************************************************************
* Append and Draw Second Chart
********************************************************************/
app.drawAllDaysStopAnalysisChart = function drawAllDateStopAnalysis (timeRange) {
const stopInfo = JSON.parse($("#busStopAnalysis_Stops").val());
const allBarsDatasets = [];
const allBarsDatasets2 = [[],[]]
const allLinesdatasets = [];
const linePoints = [];
if (stopInfo !== "" || dayInfo !== "") {
let i = 1;
$.each(app.busStopsWaitTimes[stopInfo.stopId]["days"], function (idx, day) {
const stopRangeWaitTimeInfo = day[timeRange.x];
stopRangeWaitTimeInfo.sort(function (a,b) {
return a - b;
});
let Percentile25th = stopRangeWaitTimeInfo[parseInt(stopRangeWaitTimeInfo.length / 4)];
let Percentile50th = stopRangeWaitTimeInfo[parseInt(stopRangeWaitTimeInfo.length / 2)];
let Percentile75th = stopRangeWaitTimeInfo[parseInt((stopRangeWaitTimeInfo.length / 4) * 3)];
allBarsDatasets.push({
xAxisTickValue: idx,
barValue: Percentile75th
});
allBarsDatasets2[0].push({
xAxisTickValue: idx,
barValue: Percentile25th
});
allBarsDatasets2[1].push({
xAxisTickValue: idx,
barValue: Percentile75th - Percentile25th
});
linePoints.push({x : i, y : Percentile50th});
i++;
});
allLinesdatasets.push({points:linePoints,color:"orange"});
}
$("#busStopAnalysis_AllDaysChart").html("");
var barColor = '#384a60';
var fD = allBarsDatasets.map(function(d){return [d.xAxisTickValue,d.barValue];});
var margin = {top: 20, right: 100, bottom: 30, left: 100},
width = 960 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
var padding = 100;
//create svg for histogram.
var svg = d3.select("#busStopAnalysis_AllDaysChart").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 + ")");
// create function for x-axis mapping.
var x = d3.scale.ordinal().rangeRoundBands([0, width], 0.1, 0)
.domain(fD.map(function(d) { return d[0]; }));
// Add x-axis to the histogram svg.
svg.append("g").attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(d3.svg.axis()
.scale(x)
.orient("bottom")
.innerTickSize(-height)
.outerTickSize(0)
.tickPadding(10));
// create function for y-axis mapping.
var yMin = 0;
var yMax = d3.max(fD.map(function(d) { return d[1]; }));
var y = d3.scale.linear().range([height, 0])
.domain([0, d3.max(fD, function(d) { return d[1]; })]);
var yScaleGridLines = d3.scale.linear()
.domain([yMin, yMax])
.range([height, 0]);
var yAxisGridLines = d3.svg.axis()
.scale(yScaleGridLines)
.orient("left")
.innerTickSize(-width)
.outerTickSize(0)
.tickPadding(10);
svg.append("g")
.attr("class", "y axis")
.call(yAxisGridLines);
var layers = d3.layout.stack() (
allBarsDatasets2.map(
function(barDataset) {
return barDataset.map(
function(d) {
return {x: d.xAxisTickValue, y:d.barValue};
}
)
}
)
);
var z = d3.scale.category10();
var layer = svg.selectAll(".layer")
.data(layers)
.enter().append("g")
.attr("class", "layer")
.style("fill", function(d, i) {
var x;
if (i === 0) {
x = "transparent";
} else {
x = "#FF9900";
}
return x;
});
// append a g for all the mouse over nonsense
var mouseG = svg.append("g")
.attr("class", "mouse-over-effects");
// this is the vertical line
svg.append("path")
.attr("class", "mouse-line")
.style("stroke", "grey")
.style("stroke-width", "1px")
.style("opacity", "1");
var tooltip = d3.select("#tooltip");
$("#tooltip").css('display', 'none');
layer.selectAll("rect")
.data(function (d) { return d; })
.enter().append("rect")
.attr("x", function (d) { return x(d.x); })
.attr("y", function (d) { return y(d.y + d.y0); })
.attr("height", function (d) { return y(d.y0) - y(d.y + d.y0); })
.attr("width", x.rangeBand() - 1)
.on("mousemove", function (d) {
var mouse = d3.mouse(this);
// move the vertical line
d3.select(".mouse-line")
.attr("d", function() {
var d = "M" + mouse[0] + "," + height;
d += " " + mouse[0] + "," + 0;
return d;
});
})
.on("mouseover", function (d) {
var mouse = d3.mouse(this);
console.log("second chart");
console.log(mouse);
tooltip.style("left", mouse[0] + "px")
.style("top", mouse[1] + "px")
.style("width", "auto")
.style("height", "auto")
.html("Day: " + $("#busStopAnalysis_Days option:selected").text() + "<br>Time Range: " + d.x + "<br>Avg Wait: " + d.y);
$("#tooltip").css("display", "");
})
.on("mouseout", function() {
$("#tooltip").css("display", "none");
});
// Beginning of line things drawing
// Add min and max x and y borrowed from weird lines
var xMin = app.allLinesdatasets.reduce(function(pv,cv){
var currentXMin = cv.points.reduce(function(pv,cv){
return Math.min(pv,cv.x);
},100)
return Math.min(pv,currentXMin);
},100);
var xMax = allLinesdatasets.reduce(function(pv,cv){
var currentXMax = cv.points.reduce(function(pv,cv){
return Math.max(pv,cv.x);
},0)
return Math.max(pv,currentXMax);
},0);
var yMin = allLinesdatasets.reduce(function(pv,cv){
var currentYMin = cv.points.reduce(function(pv,cv){
return Math.min(pv,cv.y);
},100)
return Math.min(pv,currentYMin);
},100);
var yMax = allLinesdatasets.reduce(function(pv,cv){
var currentYMax = cv.points.reduce(function(pv,cv){
return Math.max(pv,cv.y);
},0)
return Math.max(pv,currentYMax);
},0);
var yScaleGridLines = d3.scale.linear()
.domain([0, yMax])
.range([height, 0]);
var yAxisGridLines = d3.svg.axis()
.scale(yScaleGridLines)
.orient("left")
.innerTickSize(-width)
.outerTickSize(0)
.tickPadding(10);
var xScaleGridLines = {};
xScaleGridLines = d3.scale.linear()
.domain([xMin, xMax])
.range([0, width]);
var xAxisGridLines = d3.svg.axis()
.scale(xScaleGridLines)
.orient("bottom")
.innerTickSize(-height)
.outerTickSize(0)
.tickPadding(10);
var lineGridLines = d3.svg.line()
.interpolate('step-after')
.x(function(d) { return xScaleGridLines(d.x); })
.y(function(d) { return yScaleGridLines(d.y); });
$.each(app.allLinesdatasets, function (idx, dataset) {
svg.append("path")
.data([dataset.points])
.attr("class", "line")
.attr("d", lineGridLines)
.style("stroke", function(){
// return dataset.color;
return "#FF3300";
});
});
}
#busStopAnalysis_Charts .axis path,
#busStopAnalysis_Charts .axis line{
fill: none;
stroke: black;
}
#busStopAnalysis_Charts .line{
fill: none;
stroke: blue;
stroke-width: 2px;
}
#busStopAnalysis_Charts .tick text{
font-size: 12px;
}
#busStopAnalysis_Charts .tick line{
opacity: 0.2;
}
#busStopAnalysis_Charts #tooltip {
position: absolute;
text-align: center;
color: white;
padding: 10px 10px 10px 10px;
display: inline-block;
font: 12px sans-serif;
background-color: #384a60;
border: 3px solid #2f3e50;
-webkit-border-radius: 30px;
-moz-border-radius: 30px;
border-radius: 30px;
-webkit-box-shadow: 2px 2px 4px #888;
-moz-box-shadow: 2px 2px 4px #888;
box-shadow: 2px 2px 4px #888;
}
#busStopAnalysis_Charts #tooltip.hidden {
display: none;
}
#busStopAnalysis_Charts #tooltip p {
margin: 0;
font-family: sans-serif;
font-size: 16px;
line-height: 20px;
}
<div id="busStopAnalysisChartArea_Form">
<div id="busStopAnalysisChartArea_Form_TableRow">
<div id="busStopAnalysisChartArea_Form_Stop">
<label for="family" class="control-label"></label>
<select class="form-control dataset-column" style="width:auto;" id="busStopAnalysis_Stops"></select>
</div>
<div id="busStopAnalysisChartArea_Form_Days">
<label for="family" class="control-label"></label>
<div>
<select class="form-control dataset-column" style="width:auto;float:left;" id="busStopAnalysis_Days"></select>
draw the chart
</div>
</div>
</div>
</div>
<div id="busStopAnalysis_Charts">
<div id="busStopAnalysis_OneDayChart"></div>
<div id="busStopAnalysis_AllDaysChart"></div>
<div>
<script src="https://d3js.org/d3.v3.min.js"></script>
<script src="https://code.jquery.com/jquery-2.2.4.min.js"></script>

The issue was I was appending the line cursor to both chart as a class with the same name. I guess d3 had trouble identifying which one I was trying to animate so it always picked the first one.
The fix was to replace the classes with IDs as illustrated in the code snippet below.
var app = {};
app.allBarsDatasets = [
{
"xAxisTickValue": "10-1",
"barValue": 17
},
{
"xAxisTickValue": "10-2",
"barValue": 17
},
{
"xAxisTickValue": "10-3",
"barValue": 17
}
];
app.allBarsDatasets2 = [
[
{
"xAxisTickValue": "10-1",
"barValue": 10
},
{
"xAxisTickValue": "10-2",
"barValue": 6
},
{
"xAxisTickValue": "10-3",
"barValue": 7
}
],
[
{
"xAxisTickValue": "10-1",
"barValue": 6
},
{
"xAxisTickValue": "10-2",
"barValue": 8
},
{
"xAxisTickValue": "10-3",
"barValue": 10
}
]
];
app.allLinesDatasets =
{
"points": [
{
"x": 1,
"y": 10
},
{
"x": 2,
"y": 8
},
{
"x": 3,
"y": 14
}
],
"color": "blue"
};
app.busStopsWaitTimes = {
"1": {
"days": {
"we": {
"10-1": [
17,
14,
14,
4,
8,
13,
11,
3,
2,
14,
14,
8,
9,
1,
9,
9,
9,
17,
1,
20
],
"10-2": [
13,
12,
3,
5,
18,
14,
17,
5,
9,
12,
19,
3,
8,
9,
20,
3,
14,
5,
7,
13
],
"10-3": [
18,
8,
8,
7,
10,
20,
16,
17,
6,
13,
5,
11,
11,
14,
18,
17,
11,
17,
4,
3
]
}
},
"name": "Adderley"
}
};
app.populateBusStopsWaitSelectionForm = function () {
let stopOptions = `<option value="">Select a stop</option>`;
$.each(app.busStopsWaitTimes, function (idx, stop) {
stopOptions += `<option value={"stopId":${idx}}>${stop.name}</option>`;
});
$("#busStopAnalysis_Stops").html(stopOptions);
}
app.populateBusStopsWaitSelectionForm();
$("#busStopAnalysis_Stops").change(function() {
let values = $("#busStopAnalysis_Stops").val();
if (values !== "") {
values = JSON.parse(values);
let daysOptions = `<option value="">Select a day</option>`;
if ("we" in app.busStopsWaitTimes[values.stopId].days) {
daysOptions += `<option value={"dayKey":"we"}>Wednesday</option>`
}
$("#busStopAnalysis_Days").html(daysOptions);
} else {
$("#busStopAnalysis_Days").html("<option>Please select a route</option>");
}
});
$("#drawBusStopAnalysisChart").on("click", function (evt) {
evt.preventDefault();
const stopInfo = JSON.parse($("#busStopAnalysis_Stops").val());
const dayInfo = JSON.parse($("#busStopAnalysis_Days").val());
if (stopInfo !== "" || dayInfo !== "") {
const allBarsDatasets = [];
const allBarsDatasets2 = [[],[]]
const allLinesdatasets = [];
const linePoints = [];
let i = 1;
$.each(app.busStopsWaitTimes[stopInfo.stopId]["days"][dayInfo.dayKey], function (idx, timeslot) {
timeslot.sort(function (a,b) {
return a - b;
});
let Percentile25th = timeslot[parseInt(timeslot.length / 4)];
let Percentile50th = timeslot[parseInt(timeslot.length / 2)];
let Percentile75th = timeslot[parseInt((timeslot.length / 4) * 3)];
allBarsDatasets.push({
xAxisTickValue: idx,
barValue: Percentile75th
});
allBarsDatasets2[0].push({
xAxisTickValue: idx,
barValue: Percentile25th
});
allBarsDatasets2[1].push({
xAxisTickValue: idx,
barValue: Percentile75th - Percentile25th
});
linePoints.push({x : i, y : Percentile50th});
i++;
});
allLinesdatasets.push({points:linePoints,color:"blue"});
app.drawBusStopAnalysisOneDayChart(allBarsDatasets, allBarsDatasets2, allLinesdatasets);
}
});
app.drawBusStopAnalysisOneDayChart = function (allBarsDatasets, allBarsDatasets2, allLinesdatasets) {
app.allLinesdatasets = allLinesdatasets;
$("#busStopAnalysis_OneDayChart").html("");
var barColor = '#384a60';
// calculate total frequency by state for all segment.
// var fD = app.allBarsDatasets.map(function(d){return [d.xAxisTickValue,d.barValue];});
var fD = allBarsDatasets.map(function(d){return [d.xAxisTickValue,d.barValue];});
var margin = {top: 20, right: 100, bottom: 30, left: 100},
width = 960 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
var padding = 100;
//create svg for histogram.
var svg = d3.select("#busStopAnalysis_OneDayChart").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 + ")");
// create function for x-axis mapping.
var x = d3.scale.ordinal().rangeRoundBands([0, width], 0.1, 0)
.domain(fD.map(function(d) { return d[0]; }));
// Add x-axis to the histogram svg.
svg.append("g").attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(d3.svg.axis()
.scale(x)
.orient("bottom")
.innerTickSize(-height)
.outerTickSize(0)
.tickPadding(10));
// create function for y-axis mapping.
var yMin = 0;
var yMax = d3.max(fD.map(function(d) { return d[1]; }));
var y = d3.scale.linear().range([height, 0])
.domain([0, d3.max(fD, function(d) { return d[1]; })]);
var yScaleGridLines = d3.scale.linear()
.domain([0, yMax])
.range([height, 0]);
var yAxisGridLines = d3.svg.axis()
.scale(yScaleGridLines)
.orient("left")
.innerTickSize(-width)
.outerTickSize(0)
.tickPadding(10);
svg.append("g")
.attr("class", "y axis")
.call(yAxisGridLines);
// You would think d3 draws bar by bar but it draws level by level
// therefore you need to create stacks which are sub-arrays whose contents
// are arrays of elements at the same level
// to achieve that
// call stack,
// call map and iterate over each array
// call map iterate over all elements within an array while creating points based on values to visualize
var layers = d3.layout.stack() (
allBarsDatasets2.map(
function(barDataset) {
return barDataset.map(
function(d) {
return {x: d.xAxisTickValue, y:d.barValue};
}
)
}
)
);
var z = d3.scale.category10();
var layer = svg.selectAll(".layer")
.data(layers)
.enter().append("g")
.attr("class", "layer")
.style("fill", function(d, i) {
var x;
if (i === 0) {
x = "transparent";
} else {
x = "#686868";
}
return x;
});
var mouseG = d3.select("#busStopAnalysis_Charts").append("g")
.attr("id", "mouse-over-effects-one-day-chart");
const lineCursorId = "mouse-line-one-day-chart";
// this is the vertical line
svg.append("path")
.attr("id", lineCursorId)
.style("stroke", "black")
.style("stroke-width", "1px")
.style("opacity", "1");
layer.selectAll("rect")
.data(function (d) { return d; })
.enter().append("rect")
.attr("x", function (d) { return x(d.x); })
.attr("y", function (d) { return y(d.y + d.y0); })
.attr("height", function (d) { return y(d.y0) - y(d.y + d.y0); })
.attr("width", x.rangeBand() - 1)
.on("mousemove", function (d) {
var mouse = d3.mouse(this);
app.drawStopAnalysisLineCursor(mouse, "#" + lineCursorId, height);
})
.on("click", function (d) {
app.drawAllDaysStopAnalysisChart(d);
});
// Beginning of line things drawing
// Add min and max x and y borrowed from weird lines
var xMin = app.allLinesdatasets.reduce(function(pv,cv){
var currentXMin = cv.points.reduce(function(pv,cv){
return Math.min(pv,cv.x);
},100)
return Math.min(pv,currentXMin);
},100);
var xMax = app.allLinesdatasets.reduce(function(pv,cv){
var currentXMax = cv.points.reduce(function(pv,cv){
return Math.max(pv,cv.x);
},0)
return Math.max(pv,currentXMax);
},0);
var yMin = app.allLinesdatasets.reduce(function(pv,cv){
var currentYMin = cv.points.reduce(function(pv,cv){
return Math.min(pv,cv.y);
},100)
return Math.min(pv,currentYMin);
},100);
var yMax = app.allLinesdatasets.reduce(function(pv,cv){
var currentYMax = cv.points.reduce(function(pv,cv){
return Math.max(pv,cv.y);
},0)
return Math.max(pv,currentYMax);
},0);
var yScaleGridLines = d3.scale.linear()
.domain([0, yMax])
.range([height, 0]);
var yAxisGridLines = d3.svg.axis()
.scale(yScaleGridLines)
.orient("left")
.innerTickSize(-width)
.outerTickSize(0)
.tickPadding(10);
var xScaleGridLines = {};
xScaleGridLines = d3.scale.linear()
.domain([xMin, xMax])
.range([0, width]);
var xAxisGridLines = d3.svg.axis()
.scale(xScaleGridLines)
.orient("bottom")
.innerTickSize(-height)
.outerTickSize(0)
.tickPadding(10);
var lineGridLines = d3.svg.line()
.interpolate('step-after')
.x(function(d) { return xScaleGridLines(d.x); })
.y(function(d) { return yScaleGridLines(d.y); });
$.each(app.allLinesdatasets, function (idx, dataset) {
svg.append("path")
.data([dataset.points])
.attr("class", "line")
.attr("d", lineGridLines)
.style("stroke", function(){
// return dataset.color;
return "#FF9900";
});
});
}
/********************************************************************
* Append and Draw Second Chart
********************************************************************/
app.drawAllDaysStopAnalysisChart = function drawAllDateStopAnalysis (timeRange) {
const stopInfo = JSON.parse($("#busStopAnalysis_Stops").val());
const allBarsDatasets = [];
const allBarsDatasets2 = [[],[]]
const allLinesdatasets = [];
const linePoints = [];
if (stopInfo !== "" || dayInfo !== "") {
let i = 1;
$.each(app.busStopsWaitTimes[stopInfo.stopId]["days"], function (idx, day) {
const stopRangeWaitTimeInfo = day[timeRange.x];
stopRangeWaitTimeInfo.sort(function (a,b) {
return a - b;
});
let Percentile25th = stopRangeWaitTimeInfo[parseInt(stopRangeWaitTimeInfo.length / 4)];
let Percentile50th = stopRangeWaitTimeInfo[parseInt(stopRangeWaitTimeInfo.length / 2)];
let Percentile75th = stopRangeWaitTimeInfo[parseInt((stopRangeWaitTimeInfo.length / 4) * 3)];
allBarsDatasets.push({
xAxisTickValue: idx,
barValue: Percentile75th
});
allBarsDatasets2[0].push({
xAxisTickValue: idx,
barValue: Percentile25th
});
allBarsDatasets2[1].push({
xAxisTickValue: idx,
barValue: Percentile75th - Percentile25th
});
linePoints.push({x : i, y : Percentile50th});
i++;
});
allLinesdatasets.push({points:linePoints,color:"orange"});
}
$("#busStopAnalysis_AllDaysChart").html("");
var barColor = '#384a60';
var fD = allBarsDatasets.map(function(d){return [d.xAxisTickValue,d.barValue];});
var margin = {top: 20, right: 100, bottom: 30, left: 100},
width = 960 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
var padding = 100;
//create svg for histogram.
var svg = d3.select("#busStopAnalysis_AllDaysChart").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 + ")");
// create function for x-axis mapping.
var x = d3.scale.ordinal().rangeRoundBands([0, width], 0.1, 0)
.domain(fD.map(function(d) { return d[0]; }));
// Add x-axis to the histogram svg.
svg.append("g").attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(d3.svg.axis()
.scale(x)
.orient("bottom")
.innerTickSize(-height)
.outerTickSize(0)
.tickPadding(10));
// create function for y-axis mapping.
var yMin = 0;
var yMax = d3.max(fD.map(function(d) { return d[1]; }));
var y = d3.scale.linear().range([height, 0])
.domain([0, d3.max(fD, function(d) { return d[1]; })]);
var yScaleGridLines = d3.scale.linear()
.domain([yMin, yMax])
.range([height, 0]);
var yAxisGridLines = d3.svg.axis()
.scale(yScaleGridLines)
.orient("left")
.innerTickSize(-width)
.outerTickSize(0)
.tickPadding(10);
svg.append("g")
.attr("class", "y axis")
.call(yAxisGridLines);
var layers = d3.layout.stack() (
allBarsDatasets2.map(
function(barDataset) {
return barDataset.map(
function(d) {
return {x: d.xAxisTickValue, y:d.barValue};
}
)
}
)
);
var z = d3.scale.category10();
var layer = svg.selectAll(".layer")
.data(layers)
.enter().append("g")
.attr("class", "layer")
.style("fill", function(d, i) {
var x;
if (i === 0) {
x = "transparent";
} else {
x = "#FF9900";
}
return x;
});
// append a g for all the mouse over nonsense
var mouseG = svg.append("g")
.attr("id", "mouse-over-effects-all-day-chart");
let lineCursorId = "mouse-line-all-day-chart";
// this is the vertical line
svg.append("path")
.attr("id", lineCursorId)
.style("stroke", "grey")
.style("stroke-width", "1px")
.style("opacity", "1");
layer.selectAll("rect")
.data(function (d) { return d; })
.enter().append("rect")
.attr("x", function (d) { return x(d.x); })
.attr("y", function (d) { return y(d.y + d.y0); })
.attr("height", function (d) { return y(d.y0) - y(d.y + d.y0); })
.attr("width", x.rangeBand() - 1)
.on("mousemove", function (d) {
var mouse = d3.mouse(this);
app.drawStopAnalysisLineCursor(mouse, "#" + lineCursorId, height)
});
// Beginning of line things drawing
// Add min and max x and y borrowed from weird lines
var xMin = app.allLinesdatasets.reduce(function(pv,cv){
var currentXMin = cv.points.reduce(function(pv,cv){
return Math.min(pv,cv.x);
},100)
return Math.min(pv,currentXMin);
},100);
var xMax = allLinesdatasets.reduce(function(pv,cv){
var currentXMax = cv.points.reduce(function(pv,cv){
return Math.max(pv,cv.x);
},0)
return Math.max(pv,currentXMax);
},0);
var yMin = allLinesdatasets.reduce(function(pv,cv){
var currentYMin = cv.points.reduce(function(pv,cv){
return Math.min(pv,cv.y);
},100)
return Math.min(pv,currentYMin);
},100);
var yMax = allLinesdatasets.reduce(function(pv,cv){
var currentYMax = cv.points.reduce(function(pv,cv){
return Math.max(pv,cv.y);
},0)
return Math.max(pv,currentYMax);
},0);
var yScaleGridLines = d3.scale.linear()
.domain([0, yMax])
.range([height, 0]);
var yAxisGridLines = d3.svg.axis()
.scale(yScaleGridLines)
.orient("left")
.innerTickSize(-width)
.outerTickSize(0)
.tickPadding(10);
var xScaleGridLines = {};
xScaleGridLines = d3.scale.linear()
.domain([xMin, xMax])
.range([0, width]);
var xAxisGridLines = d3.svg.axis()
.scale(xScaleGridLines)
.orient("bottom")
.innerTickSize(-height)
.outerTickSize(0)
.tickPadding(10);
var lineGridLines = d3.svg.line()
.interpolate('step-after')
.x(function(d) { return xScaleGridLines(d.x); })
.y(function(d) { return yScaleGridLines(d.y); });
$.each(app.allLinesdatasets, function (idx, dataset) {
svg.append("path")
.data([dataset.points])
.attr("class", "line")
.attr("d", lineGridLines)
.style("stroke", function(){
return "#FF3300";
});
});
}
app.drawStopAnalysisLineCursor = function (mouse, mouseLineId, height) {
// move the vertical line
d3.select(mouseLineId)
.attr("d", function() {
var d = "M" + (mouse[0] -2) + "," + height;
d += " " + (mouse[0] - 2) + "," + 0;
return d;
});
}
#busStopAnalysis_Charts .axis path,
#busStopAnalysis_Charts .axis line{
fill: none;
stroke: black;
}
#busStopAnalysis_Charts .line{
fill: none;
stroke: blue;
stroke-width: 2px;
}
#busStopAnalysis_Charts .tick text{
font-size: 12px;
}
#busStopAnalysis_Charts .tick line{
opacity: 0.2;
}
<div id="busStopAnalysisChartArea_Form">
<div id="busStopAnalysisChartArea_Form_TableRow">
<div id="busStopAnalysisChartArea_Form_Stop">
<label for="family" class="control-label"></label>
<select class="form-control dataset-column" style="width:auto;" id="busStopAnalysis_Stops"></select>
</div>
<div id="busStopAnalysisChartArea_Form_Days">
<label for="family" class="control-label"></label>
<div>
<select class="form-control dataset-column" style="width:auto;float:left;" id="busStopAnalysis_Days"></select>
draw the chart
</div>
</div>
</div>
</div>
<div id="busStopAnalysis_Charts">
<div id="busStopAnalysis_OneDayChart"></div>
<div id="busStopAnalysis_AllDaysChart"></div>
</div>
<script src="https://d3js.org/d3.v3.min.js"></script>
<script src="https://code.jquery.com/jquery-2.2.4.min.js"></script>

Different colors to each Stacked Bars in D3

I am trying to assign different colors to each bars of the stacked bar charts as currently there is only single color in all the four bars but trying to assign different colors to all the four bars as well the stacked value.
Code
var margin = {
top: 20,
right: 160,
bottom: 35,
left: 30
};
var width = 960 - margin.left - margin.right,
height = 600 - margin.top - margin.bottom;
var svg = d3.select("body")
.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 + ")");
/* Data in strings like it would be if imported from a csv */
var data = [{
year: "A",
redDelicious: "10",
mcintosh: "5",
color:"red",
oranges: "19"
}, {
year: "B",
redDelicious: "12",
mcintosh: "12",
color:"blue",
oranges: "15"
}, {
year: "C",
redDelicious: "05",
mcintosh: "10",
color:"green",
oranges: "18"
}, {
year: "D",
redDelicious: "14",
mcintosh: "8",
color:"yellow",
oranges: "12"
},
];
$("#btn").on("click", function(){
d3.selectAll("svg > g > g").remove();
data[1].mcintosh = (Number(data[1].mcintosh) + 1).toString();
console.log(1,data);
update();
});
update();
function update(){
var orangeData = data.map(function(d) {
return {
year: d.year,
oranges: +d.oranges
}
});
console.log(orangeData)
// Transpose the data into layers
var dataset = d3.layout.stack()(["redDelicious", "mcintosh"].map(function(skillset) {
return data.map(function(d) {
return {
x: d.year,
y: +d[skillset]
};
});
}));
console.log(dataset)
// Set x, y and colors
var x = d3.scale.ordinal()
.domain(dataset[0].map(function(d) {
return d.x;
}))
.rangeRoundBands([10, width - 10], 0.02);
var y = d3.scale.linear()
.domain([0, d3.max(dataset, function(d) {
return d3.max(d, function(d) {
return d.y0 + d.y;
});
})])
.range([height, 0]);
var colors = ["#b33040", "#edd"];
var backcolors = ["cyan", "blue","green","gray"];
// Define and draw axes
var yAxis = d3.svg.axis()
.scale(y)
.orient("left")
.ticks(5)
.tickSize(-width, 0, 0)
.tickFormat(function(d) {
return d
});
var xAxis = d3.svg.axis()
.scale(x)
.orient("bottom");
// .tickFormat(d3.time.format("%Y"));
svg.append("g")
.attr("class", "y axis")
.call(yAxis);
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis);
// Creating the Average Bar for the Semester
svg.selectAll(".bar1").data(orangeData).enter().append("g")
.attr("class", "bar1").append("rect")
.attr("x", function(d) {
return x(d.year) ; // center it
})
.attr("width", x.rangeBand()) // make it slimmer
.attr("y", function(d) {
return y(d.oranges);
})
.attr("height", function(d) {
return height - y(d.oranges);
})
.style("fill", function(d, i) {
return backcolors[i];
});
// Create groups for each series, rects for each segment in Stacked Bar
var groups = svg.selectAll("g.cost")
.data(dataset)
.enter().append("g")
.attr("class", "cost")
.style("fill", function(d, i) {
return colors[i];
});
var rect = groups.selectAll("rect")
.data(function(d) {
return d;
})
.enter()
.append("rect")
.attr("x", function(d) {
return x(d.x) + 20 ;
})
.attr("y", function(d) {
return y(d.y0 + d.y);
})
.attr("height", function(d) {
return y(d.y0) - y(d.y0 + d.y);
})
.attr("width", x.rangeBand() -40 );
}
Here is the fiddle for the same

d3.js highlighting stacked bar and getting selected values

First Question:
For single bar chart, when we "mouseover" a bar, we will get the value of the bar we selected as i. For example, the following code detects which element of the x-axis we chose and assign that to a variable called selectedYear:
.on("mouseover", function (d, i) {
selectedYear = i;
update();
barChart.selectAll("text")
.attr("fill", "black");
d3.select(this).attr("fill", "orange");
})
However, when it is the stacked bar below, how can I give "2006" to selectedYear and "SmartPhone" to seletedCategory within mouseover function?
Second Question:
How can I highlight corresponding text on the x-axis when I mouseover a bar?
In the picture above, how can I make the text "2006" highlighted when any blocks of the 2006 bar are being mouseovered?
And below is my entire code:
<!DOCTYPE html>
<html>
<head lang="en">
<meta charset="UTF-8">
<title></title>
</head>
<body>
<script src="d3.min.js" charset="UTF-8"></script>
<script>
var width = 700;
var height = 500;
var dataSet;
var svg = d3.select("body")
.append("svg")
.attr("width", width)
.attr("height", height);
var dataSet1 = [
{ name: "PC" ,
sales: [ { year:2005, profit: 3000 },
{ year:2006, profit: 1300 },
{ year:2007, profit: 3700 },
{ year:2008, profit: 4900 },
{ year:2009, profit: 700 }] },
{ name: "SmartPhone" ,
sales: [ { year:2005, profit: 2000 },
{ year:2006, profit: 4000 },
{ year:2007, profit: 1810 },
{ year:2008, profit: 6540 },
{ year:2009, profit: 2820 }] },
{ name: "Software" ,
sales: [ { year:2005, profit: 1100 },
{ year:2006, profit: 1700 },
{ year:2007, profit: 1680 },
{ year:2008, profit: 4000 },
{ year:2009, profit: 4900 }] }
];
var stack = d3.layout.stack()
.values(function(d){ return d.sales; })
.x(function(d){ return d.year; })
.y(function(d){ return d.profit; });
var data = stack(dataSet1);
var padding = { left:50, right:100, top:30, bottom:30 };
var xRangeWidth = width - padding.left - padding.right;
var xScale = d3.scale.ordinal()
.domain(data[0].sales.map(function(d){ return d.year; }))
.rangeBands([0, xRangeWidth],0.3);
var maxProfit = d3.max(data[data.length-1].sales, function(d){
return d.y0 + d.y;
});
var yRangeWidth = height - padding.top - padding.bottom;
var yScale = d3.scale.linear()
.domain([0, maxProfit])
.range([0, yRangeWidth]);
var color = d3.scale.category10();
var groups = svg.selectAll("g")
.data(data)
.enter()
.append("g")
.style("fill",function(d,i){ return color(i); });
var rects = groups.selectAll("rect")
.data(function(d){ return d.sales; })
.enter()
.append("rect")
.attr("x",function(d){ return xScale(d.year); })
.attr("y",function(d){ return yRangeWidth - yScale( d.y0 + d.y ); })
.attr("width",60)
.attr("height",function(d){ return yScale(d.y); })
.attr("transform","translate(" + padding.left + "," + padding.top + ")")
.attr("stroke","white")
.on("mouseover", function (d, i) {
groups.selectAll("rect")
.attr("stroke","white")
d3.select(this)
.attr("stroke", "black")
.attr("stroke-width", 3);
selectedYear = i;
})
.on("mouseout", function (d) {
// d3.select(this).attr("stroke", "white").attr("stroke-width", 0);
});
var xAxis = d3.svg.axis()
.scale(xScale)
.orient("bottom");
yScale.range([yRangeWidth, 0]);
var yAxis = d3.svg.axis()
.scale(yScale)
.orient("left");
svg.append("g")
.attr("class","axis")
.attr("transform","translate(" + padding.left + "," + (height - padding.bottom) + ")")
.call(xAxis);
svg.append("g")
.attr("class","axis")
.attr("transform","translate(" + padding.left + "," + (height - padding.bottom - yRangeWidth) + ")")
.call(yAxis);
var labHeight = 50;
var labRadius = 10;
var labelCircle = groups.append("circle")
.attr("cx",width - padding.right*0.98)
.attr("cy",function(d,i){ return padding.top * 2 + labHeight * i; })
.attr("r",labRadius);
var labelText = groups.append("text")
.attr("x",width - padding.right*0.8)
.attr("y",function(d,i){ return padding.top * 2 + labHeight * i; })
.attr("dy",labRadius/2)
.text(function(d){ return d.name; });
</script>
</body>
</html>

Some ideas...
select year on axis (why, I don't know...)
selected category from node datum
show selected profit next to category label
improved highlighting of selected rectangle
protect x axis from being overwritten by white stroke
Working code
var width = 600,
height = 200,
padding = { left:50, right:200, top:20, bottom:30},
xRangeWidth = width - padding.left - padding.right,
yRangeWidth = height - padding.top - padding.bottom;
var dataSet;
var svg = d3.select("body")
.append("svg")
.attr("width", width)
.attr("height", height)
.append("g")
.attr("transform", "translate(" + [padding.left, padding.top] + ")");
var dataSet1 = [
{ name: "PC" ,
sales: [ { year:2005, profit: 3000 },
{ year:2006, profit: 1300 },
{ year:2007, profit: 3700 },
{ year:2008, profit: 4900 },
{ year:2009, profit: 700 }] },
{ name: "SmartPhone" ,
sales: [ { year:2005, profit: 2000 },
{ year:2006, profit: 4000 },
{ year:2007, profit: 1810 },
{ year:2008, profit: 6540 },
{ year:2009, profit: 2820 }] },
{ name: "Software" ,
sales: [ { year:2005, profit: 1100 },
{ year:2006, profit: 1700 },
{ year:2007, profit: 1680 },
{ year:2008, profit: 4000 },
{ year:2009, profit: 4900 }] }
],
// experiment to demonstrate unsupported data structure //////////////////////////////
dataset2 = dataSet1.map(function(d){
return {
name: d.name,
sales: d.sales.reduce(function(s, o) {
return (s[o.year] = o.profit, s)
},{})
}
}),
_stack = d3.layout.stack()
.values(layer)
.x(function(d){ return d.year; })
.y(function(d){ return d.profit; }),
dataRaw = _stack(dataset2).map(function(d){
return {
name: d.name,
sales: layer(d)
}
});
function layer(d){
return Object.keys(d.sales).map(function(y){
return {profit: d.sales[y],year:y}
});
}
// end experiment /////////////////////////////////////////////////////////////////////
var offsetSelect = d3.ui.select({
before: "svg",
style: {position: "absolute", left: width - padding.right + 15 + "px", top: yRangeWidth + "px"},
onUpdate: function() {
update(dataSet1)
},
data : ["wiggle", "zero", "expand", "silhouette"]
}),
orderSelect = d3.ui.select({
before: "svg",
style: {position: "absolute", left: width - padding.right + 15 + "px", top: yRangeWidth - 20 + "px"},
onUpdate: function() {
update(dataSet1)
},
data : ["inside-out", "default", "reverse"]
}),
stack = d3.layout.stack()
.values(function(d){ return d.sales; })
.x(function(d){ return d.year; })
.y(function(d){ return d.profit; })
.out(function out(d, y0, y) {
d.p0 = y0;
d.y = y;
}
);
// apply a transform to map screen space to cartesian space
// this removes all confusion and mess when plotting data!
var plotArea = svg.append("g")
.attr(transplot(yRangeWidth))
.attr("class", "plotArea");
// x Axis
var xPadding = {inner: 0.1, outer: 0.3},
xScale = d3.scale.ordinal()
.rangeBands([0, xRangeWidth], xPadding.inner, xPadding.outer),
xAxis = d3Axis()
.scale(xScale)
.orient("bottom"),
gX = svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + yRangeWidth + ")");
// y Axis
var yAxisScale = d3.scale.linear()
.range([yRangeWidth, 0]),
yAxis = d3Axis()
.scale(yAxisScale)
.orient("left"),
gY = svg.append("g")
.attr("class", "y axis")
.style("pointer-events", "none");
var yScale = d3.scale.linear()
.range([0, yRangeWidth]);
var color = d3.scale.category10();
function update(dataSet) {
var data = stack.offset(offsetSelect.value())
.order(orderSelect.value())(dataSet),
maxProfit = d3.max(data,function(d) {
return d3.max(d.sales, function(s) {
return s.profit + s.p0
})
});
function yDomain(){return [0, offsetSelect.value() == "expand" ? 1 : maxProfit]}
xScale.domain(data[0].sales.map(stack.x()));
yAxisScale.domain(yDomain());
yScale.domain(yAxisScale.domain());
var series = plotArea.selectAll(".series")
.data(data);
series.enter()
.append("g")
.attr("class", "series");
series.style("fill", function(d, i) {
return color(i);
});
series.exit().remove();
var s = xScale.rangeBand(),
w = s - xPadding.inner,
points = series.selectAll("rect")
.data(function(d) {
return d.sales;
}),
newPoints = points.enter()
.append("rect")
.attr("width", w)
.on("mouseover", function(d) {
var rect = d3.select(this), selectedYear = d.year;
// if the plot is not normalised, offset the axis to align with the selected group
if(offsetSelect.value() != "expand") {
var pMin = d3.min(data,function(d) {
return d3.min(d.sales.filter(function(p) {
return p.year == selectedYear
}), function(s) {
return s.p0
})
});
yAxisScale.domain([-pMin, yDomain()[1] - pMin]);
gY.transition().call(yAxis).attr("transform", "translate(" + rect.attr("x") + ",0)");
}
// manage the highlighting
series.selectAll("rect")
.transition()
.attr({opacity: 0.5});
rect
.transition()
.attr({opacity: 1});
d3.selectAll(".x.axis .tick")
.filter(function(d) {
return d == selectedYear
})
.classed("highlight", true);
// move the selected element to the front
d3.select(this.parentNode)
.moveToFront();
gX.moveToFront();
// add the value for the moused over item to the legend text and highlight it
var g = d3.select(this.parentNode).selectAll(".label").select("text");
g.classed("highlight", true);
g.text(g.text() + ": " + d3.format(">8.0f")(d.profit));
series
.append("g")
.attr("class", "tooltip")
.attr("transform", "translate(" + [rect.attr("x"), rect.attr("y")] + ")")
.append("text")
.attr(transflip())
.text(d3.format(">8.0f")(d.profit))
.attr({x: "1em", y: -rect.attr("height")/2, dy: ".35em", opacity: 0})
.transition().attr("opacity", 1)
.style({fill: "black", "pointer-events": "none"})
})
.on("mouseout", function(d) {
var year = d.year;
d3.selectAll(".x.axis .tick")
.filter(function(d) {
return d == year
})
.classed("highlight", false);
series.selectAll("rect")
.transition()
.attr({opacity: 1});
var g = d3.select(this.parentNode).select("text");
g.classed("highlight", false);
g.text(g.text().split(":")[0])
yAxisScale.domain(yDomain());
yAxis.tickSize(6);
gY.transition().call(yAxis).attr("transform", "translate(0,0)");
series.selectAll(".tooltip")
.transition()
.attr({opacity: 0})
.remove();
});
points.transition()
.attr("x", function(d) {
return xScale(d.year);
})
.attr("y", function(d) {
return yScale(d.p0);
})
.attr("height", function(d) {
return yScale(d.y);
})
.attr("stroke", "white");
points.exit().remove;
gX.transition().call(xAxis);
gY.transition().call(yAxis);
// Add the legend inside the series containers
// The series legend is wrapped in another g so that the
// plot transform can be reversed. Otherwise the text would be mirrored
var labHeight = 40,
labRadius = 10,
label = series.selectAll(".label").data(function(d){return [d.name]}),
newLabel = label.enter().append("g")
.attr("class", "label")
// reverse the transform (it is it's own inverse)
.attr(transplot(yRangeWidth));
label.exit().remove();
// add the marker and the legend text to the normalised container
// push the data (name) down to them
var labelCircle = label.selectAll("circle").data(aID),
// take a moment to get the series order delivered by stack
orders = data.map(function(d) { // simplify the form
return {name: d.name, base: d.sales[0].p0}
}).map(function(d) { // get a copy, sorted by p0
return d
}).sort(function(a, b){
return a.base - b.base
}).map(function(d) { // convert to index permutations
return data.map(function(p) {
return p.name
}).indexOf(d.name)
}).reverse(); // convert to screen y ordinate
labelCircle.enter().append("circle");
labelCircle.attr("cx", xRangeWidth + 20)
.attr("cy", function(d, i, j) {
return labHeight * orders[j];
})
.attr("r", labRadius);
var labelText = label.selectAll("text").data(aID);
labelText.enter().append("text");
labelText.attr("x", xRangeWidth + 40)
.attr("y", function(d, i, j) {
return labHeight * orders[j];
})
.attr("dy", labRadius / 2)
.text(function(d) {
return d;
});
function aID(d){
return [d];
}
}
update(dataSet1);
d3.selection.prototype.moveToFront = function() {
return this.each(function() {
this.parentNode.appendChild(this);
});
};
body {
position: relative;
}
.axis path,
.axis line {
fill: none;
stroke: #000;
shape-rendering: crispEdges;
}
.axis .tick line {
stroke: #ccc;
/*opacity: 0.5;*/
pointer-events: none;
}
.highlight {
font-weight: bold ;
}
svg {
overflow: visible;
}
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.4.11/d3.min.js"></script>
<script src="https://gitcdn.xyz/repo/cool-Blue/d3-lib/master/inputs/select/select.js"></script>
<script src="https://gitcdn.xyz/repo/cool-Blue/d3-lib/master/plot/plot-transform.js"></script>

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