I have made a violin plot in D3.js with the following code:
<script src="https://d3js.org/d3.v4.js"></script>`
<div id="power"></div>
<script>
var margin = {top: 120, right: 100, bottom: 80, left: 100},
width = 2600 - margin.left - margin.right,
height = 620 - margin.top - margin.bottom;
var svg = d3.select("#power")
.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 + ")");
// Read the data and compute summary statistics for each
d3.csv("static/csv/violinsummary.csv", function (data) {
// Show the X scale
var x = d3.scaleBand()
.range([0, width])
.domain(["2017-09", "2017-10", "2018-02", "2018-03"])
.paddingInner(0)
.paddingOuter(.5);
svg.append("g")
.attr("transform", "translate(0," + height + ")")
.call(d3.axisBottom(x));
// Show the Y scale
var y = d3.scaleLinear()
.domain([80, 105])
.range([height, 0]);
svg.append("g").call(d3.axisLeft(y));
// Features of density estimate
var kde = kernelDensityEstimator(kernelEpanechnikov(.2), y.ticks(50));
// Compute the binning for each group of the dataset
var sumstat = d3.nest()
.key(function (d) {
return d.DATE;
})
.rollup(function (d) { // For each key..
input = d.map(function (g) {
return g.Power;
});
density = kde(input); // And compute the binning on it.
return (density);
})
.entries(data);
var maxNum = 0;
for (i in sumstat) {
allBins = sumstat[i].value;
kdeValues = allBins.map(function (a) {
return a[1]
});
biggest = d3.max(kdeValues);
if (biggest > maxNum) {
maxNum = biggest
}
}
// The maximum width of a violin must be x.bandwidth = the width dedicated to a group
var xNum = d3.scaleLinear()
.range([0, x.bandwidth()])
.domain([-maxNum, maxNum]);
svg
.selectAll("myViolin")
.data(sumstat)
.enter() // So now we are working group per group
.append("g")
.attr("transform", function (d) {
return ("translate(" + x(d.key) + " ,0)")
}) // Translation on the right to be at the group position
.append("path")
.datum(function (d) {
return (d.value)
}) // So now we are working density per density
.style("opacity", .7)
.style("fill", "#317fc8")
.attr("d", d3.area()
.x0(function (d) {
return (xNum(-d[1]))
})
.x1(function (d) {
return (xNum(d[1]))
})
.y(function (d) {
return (y(d[0]))
})
.curve(d3.curveCatmullRom));
});
function kernelDensityEstimator(kernel, X) {
return function (V) {
return X.map(function (x) {
return [x, d3.mean(V, function (v) {
return kernel(x - v);
})];
});
}
}
function kernelEpanechnikov(k) {
return function (v) {
return Math.abs(v /= k) <= 1 ? 0.75 * (1 - v * v) / k : 0;
};
}
</script>
Data (violinsummary.csv):
Power,DATE
89.29,2017-09
89.9,2017-09
91.69,2017-09
89.23,2017-09
91.54,2017-09
88.49,2017-09
89.15,2017-09
90.85,2017-09
89.59,2017-09
93.38,2017-10
92.41,2017-10
90.65,2017-10
91.07,2017-10
90.13,2017-10
91.73,2017-10
91.09,2017-10
93.21,2017-10
91.62,2017-10
89.58,2017-10
90.59,2017-10
92.57,2017-10
89.99,2017-10
90.59,2017-10
88.12,2017-10
91.3,2017-10
89.59,2018-02
91.9,2018-02
87.83,2018-02
90.36,2018-02
91.38,2018-02
91.56,2018-02
91.89,2018-02
90.95,2018-02
90.15,2018-02
90.24,2018-02
94.04,2018-02
85.4,2018-02
88.47,2018-02
92.3,2018-02
92.46,2018-02
92.26,2018-02
88.78,2018-02
90.13,2018-03
89.95,2018-03
92.98,2018-03
91.94,2018-03
90.29,2018-03
91.2,2018-03
94.22,2018-03
90.71,2018-03
93.03,2018-03
91.89,2018-03
I am trying to make a tooltip for each violin that shows the median and mean upon hover. I cannot figure out how to make the tooltip show up.
I know I need to do something like this with mouseover and mouseout but I'm not sure...
var tooltip = d3.select('#power')
.append('div')
.attr('class', 'tooltip')
.style("opacity", 0);
Any tips/guidance would be very appreciated.
You can implement the tooltip functionality by following two steps.
Step 1:
Initialize the tooltip container which already you did I guess.
var tooltip = svg.append("g")
.attr("class", "tooltip")
.style("display", "none");
tooltip.append("rect")
.attr("width", 30)
.attr("height", 20)
.attr("fill", "white")
.style("opacity", 0.5);
tooltip.append("text")
.attr("x", 15)
.attr("dy", "1.2em")
.style("text-anchor", "middle")
.attr("font-size", "12px")
.attr("font-weight", "bold");
Step 2:
Change the visibility property of the tooltip in the mouseover, mouseout event of the element. In your case, it's myViolin
.on("mouseover", function() {
tooltip.style("display", null);
})
.on("mouseout", function() {
tooltip.style("display", "none");
})
.on("mousemove", function(d) {
var xPosition = d3.mouse(this)[0] - 15;
var yPosition = d3.mouse(this)[1] - 25;
tooltip.attr("transform", "translate(" + xPosition + "," + yPosition + ")");
tooltip.select("text").text(d.y);
});
Here is the implementation of tooltip jsFiddle
Hope it helps :)
Related
I try to follow as following link to put labels in the groups bar chart, but it does not show up.
Anyone know what's going on my text label?
http://plnkr.co/edit/9lAiAXwet1bCOYL58lWN?p=preview&preview
Append text to Grouped Bar Chart in d3js v4
// set the dimensions and margins of the graph
var margin = { top: 10, right: 30, bottom: 40, left: 50 },
width = 700 - margin.left - margin.right,
height = 400 - margin.top - margin.bottom;
const dataUrl = "https://raw.githubusercontent.com/yushinglui/IV/main/time_distance_status_v2.csv"
//fetch the data
d3.csv(dataUrl)
.then((data) => {
// append the svg object to the body of the page
var svg = d3.select("#graph-2")
.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 + ")")
// List of subgroups = header of the csv files = soil condition here
var subgroups = data.columns.slice(1)
// List of groups = species here = value of the first column called group -> I show them on the X axis
var groups = d3.map(data, function (d) { return (d.startTime) })
// Add X axis
var x = d3.scaleBand()
.domain(groups)
.range([0, width])
.padding([0.2])
svg.append("g")
.attr("transform", "translate(0," + height + ")")
.call(d3.axisBottom(x).tickSize(0));
// Add Y axis
var y = d3.scaleLinear()
.domain([0, 20])
.range([height, 0]);
svg.append("g")
.call(d3.axisLeft(y));
// Another scale for subgroup position?
var xSubgroup = d3.scaleBand()
.domain(subgroups)
.range([0, x.bandwidth()])
.padding([0.05])
// color palette = one color per subgroup
var color = d3.scaleOrdinal()
.domain(subgroups)
.range(['#98abc5', '#8a89a6'])
// Show the bars
svg.append("g")
.selectAll("g")
// Enter in data = loop group per group
.data(data)
.enter()
.append("g")
.attr("transform", function (d) { return "translate(" + x(d.startTime) + ",0)"; })
.selectAll("rect")
.data(function (d) { return subgroups.map(function (key) { return { key: key, value: d[key] }; }); })
.enter()
.append("rect")
.attr("x", function (d) { return xSubgroup(d.key); })
.attr("y", function (d) { return y(d.value); })
.attr("width", xSubgroup.bandwidth())
.attr("height", function (d) { return height - y(d.value); })
.attr("fill", function (d) { return color(d.key); })
//axis labels
svg.append('text')
.attr('x', - (height / 2))
.attr('y', width - 650)
.attr('transform', 'rotate(-90)')
.attr('text-anchor', 'middle')
.style("font-size", "17px")
.text('Average Distance');
svg.append('text')
.attr('x', 300)
.attr('y', width - 240)
.attr('transform', 'rotate()')
.attr('text-anchor', 'middle')
.style("font-size", "17px")
.text('Start Time');
// legend
svg.append("circle").attr("cx", 200).attr("cy", 20).attr("r", 6).style("fill", "#98abc5")
svg.append("circle").attr("cx", 300).attr("cy", 20).attr("r", 6).style("fill", "#8a89a6")
svg.append("text").attr("x", 220).attr("y", 20).text("Present").style("font-size", "15px").attr("alignment-baseline", "middle")
svg.append("text").attr("x", 320).attr("y", 20).text("Absent").style("font-size", "15px").attr("alignment-baseline", "middle")
//text labels on bars
svg.append("g")
.selectAll("g")
// Enter in data = loop group per group
.data(data)
.enter()
.append("g")
.attr("transform", function (d) { return "translate(" + x(d.startTime) + ",0)"; })
.selectAll("text")
.data(function (d) {
return [d['P'], d['ABS']];
})
.enter()
.append("text")
.attr("fill", "black")
.text(function (d) {
return formatCount(d)
})
.attr("transform", function (d, i) {
var x0 = xSubgroup.bandwidth() * i + 11,
y0 = y(d) + 8;
return "translate(" + x0 + "," + y0 + ") rotate(90)";
})
});
try this...and if possible please provide code snippet....
svg.append("text")
.attr("fill", "black")
.text(function (d) {
console.log( formatCount(d) )
return formatCount(d)
})
.attr("transform", function (d, i) {
var x0 = xSubgroup.bandwidth() * i + 11,
y0 = y(d) + 8;
return "translate(" + x0 + "," + y0 + ") rotate(90)";
})
I am using this example to make scatter plot:
https://www.d3-graph-gallery.com/graph/boxplot_show_individual_points.html
Now this example uses jitter to randomize x position of the dots for demonstration purpose, but my goal is to make these dots in that way so they don't collide and to be in the same row if there is collision.
Best example of what I am trying to do (visually) is some sort of beeswarm where data is represented like in this fiddle:
https://jsfiddle.net/n444k759/4/
Snippet of first example:
// set the dimensions and margins of the graph
var margin = {top: 10, right: 30, bottom: 30, left: 40},
width = 460 - margin.left - margin.right,
height = 400 - margin.top - margin.bottom;
// append the svg object to the body of the page
var svg = d3.select("#my_dataviz")
.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 + ")");
// Read the data and compute summary statistics for each specie
d3.csv("https://raw.githubusercontent.com/holtzy/D3-graph-gallery/master/DATA/iris.csv", function(data) {
// Compute quartiles, median, inter quantile range min and max --> these info are then used to draw the box.
var sumstat = d3.nest() // nest function allows to group the calculation per level of a factor
.key(function(d) { return d.Species;})
.rollup(function(d) {
q1 = d3.quantile(d.map(function(g) { return g.Sepal_Length;}).sort(d3.ascending),.25)
median = d3.quantile(d.map(function(g) { return g.Sepal_Length;}).sort(d3.ascending),.5)
q3 = d3.quantile(d.map(function(g) { return g.Sepal_Length;}).sort(d3.ascending),.75)
interQuantileRange = q3 - q1
min = q1 - 1.5 * interQuantileRange
max = q3 + 1.5 * interQuantileRange
return({q1: q1, median: median, q3: q3, interQuantileRange: interQuantileRange, min: min, max: max})
})
.entries(data)
// Show the X scale
var x = d3.scaleBand()
.range([ 0, width ])
.domain(["setosa", "versicolor", "virginica"])
.paddingInner(1)
.paddingOuter(.5)
svg.append("g")
.attr("transform", "translate(0," + height + ")")
.call(d3.axisBottom(x))
// Show the Y scale
var y = d3.scaleLinear()
.domain([3,9])
.range([height, 0])
svg.append("g").call(d3.axisLeft(y))
// Show the main vertical line
svg
.selectAll("vertLines")
.data(sumstat)
.enter()
.append("line")
.attr("x1", function(d){return(x(d.key))})
.attr("x2", function(d){return(x(d.key))})
.attr("y1", function(d){return(y(d.value.min))})
.attr("y2", function(d){return(y(d.value.max))})
.attr("stroke", "black")
.style("width", 40)
// rectangle for the main box
var boxWidth = 100
svg
.selectAll("boxes")
.data(sumstat)
.enter()
.append("rect")
.attr("x", function(d){return(x(d.key)-boxWidth/2)})
.attr("y", function(d){return(y(d.value.q3))})
.attr("height", function(d){return(y(d.value.q1)-y(d.value.q3))})
.attr("width", boxWidth )
.attr("stroke", "black")
.style("fill", "#69b3a2")
// Show the median
svg
.selectAll("medianLines")
.data(sumstat)
.enter()
.append("line")
.attr("x1", function(d){return(x(d.key)-boxWidth/2) })
.attr("x2", function(d){return(x(d.key)+boxWidth/2) })
.attr("y1", function(d){return(y(d.value.median))})
.attr("y2", function(d){return(y(d.value.median))})
.attr("stroke", "black")
.style("width", 80)
var simulation = d3.forceSimulation(data)
.force("x", d3.forceX(function(d) { return x(d.Species); }))
// .force("y", d3.forceX(function(d) { return y(d.Sepal_lenght) }))
.force("collide", d3.forceCollide()
.strength(1)
.radius(4+1))
.stop();
for (var i = 0; i < data.length; ++i) simulation.tick();
// Add individual points with jitter
var jitterWidth = 50
svg
.selectAll("points")
.data(data)
.enter()
.append("circle")
.attr("cx", function(d){return( d.x )})
.attr("cy", function(d){return(y(d.Sepal_Length))})
.attr("r", 4)
.style("fill", "white")
.attr("stroke", "black")
})
<!-- Load d3.js -->
<script src="https://d3js.org/d3.v4.js"></script>
<!-- Create a div where the graph will take place -->
<div id="my_dataviz"></div>
I tried to make something like this:
var simulation = d3.forceSimulation(data)
.force("x", d3.forceX(function(d) { return x(d.Species); }))
.force("collide", d3.forceCollide(4)
.strength(1)
.radius(4+1))
.stop();
for (var i = 0; i < 120; ++i) simulation.tick();
// Append circle points
svg.selectAll(".point")
.data(data)
.enter()
.append("circle")
.attr("cx", function(d){
return(x(d.x))
})
.attr("cy", function(d){
return(y(d.y))
})
.attr("r", 4)
.attr("fill", "white")
.attr("stroke", "black")
but it does not even prevent collision and I am a bit confused with it.
I also tried to modify plot from this example:
http://bl.ocks.org/asielen/92929960988a8935d907e39e60ea8417
where beeswarm looks exactly what I need to achieve. But this code is way too expanded as it is made to fit the purpose of reusable charts and I can't track what exact formula is used to achieve this:
Any help would be great..
Thanks
Here's a quick example which combines the ideas of your beeswarm example with your initial boxplot. I've commented the tricky parts below:
<!DOCTYPE html>
<html>
<head>
</head>
<body>
<!-- Load d3.js -->
<script src="https://d3js.org/d3.v4.js"></script>
<!-- Create a div where the graph will take place -->
<div id="my_dataviz"></div>
<script>
// set the dimensions and margins of the graph
var margin = {
top: 10,
right: 30,
bottom: 30,
left: 40
},
width = 460 - margin.left - margin.right,
height = 400 - margin.top - margin.bottom;
// append the svg object to the body of the page
var svg = d3.select("#my_dataviz")
.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 + ")");
// Read the data and compute summary statistics for each specie
d3.csv("https://raw.githubusercontent.com/holtzy/D3-graph-gallery/master/DATA/iris.csv", function(data) {
// Compute quartiles, median, inter quantile range min and max --> these info are then used to draw the box.
var sumstat = d3.nest() // nest function allows to group the calculation per level of a factor
.key(function(d) {
return d.Species;
})
.rollup(function(d) {
q1 = d3.quantile(d.map(function(g) {
return g.Sepal_Length;
}).sort(d3.ascending), .25)
median = d3.quantile(d.map(function(g) {
return g.Sepal_Length;
}).sort(d3.ascending), .5)
q3 = d3.quantile(d.map(function(g) {
return g.Sepal_Length;
}).sort(d3.ascending), .75)
interQuantileRange = q3 - q1
min = q1 - 1.5 * interQuantileRange
max = q3 + 1.5 * interQuantileRange
return ({
q1: q1,
median: median,
q3: q3,
interQuantileRange: interQuantileRange,
min: min,
max: max
})
})
.entries(data)
// Show the X scale
var x = d3.scaleBand()
.range([0, width])
.domain(["setosa", "versicolor", "virginica"])
.paddingInner(1)
.paddingOuter(.5)
svg.append("g")
.attr("transform", "translate(0," + height + ")")
.call(d3.axisBottom(x))
// Show the Y scale
var y = d3.scaleLinear()
.domain([3, 9])
.range([height, 0])
svg.append("g").call(d3.axisLeft(y))
// Show the main vertical line
svg
.selectAll("vertLines")
.data(sumstat)
.enter()
.append("line")
.attr("x1", function(d) {
return (x(d.key))
})
.attr("x2", function(d) {
return (x(d.key))
})
.attr("y1", function(d) {
return (y(d.value.min))
})
.attr("y2", function(d) {
return (y(d.value.max))
})
.attr("stroke", "black")
.style("width", 40)
// rectangle for the main box
var boxWidth = 100
svg
.selectAll("boxes")
.data(sumstat)
.enter()
.append("rect")
.attr("x", function(d) {
return (x(d.key) - boxWidth / 2)
})
.attr("y", function(d) {
return (y(d.value.q3))
})
.attr("height", function(d) {
return (y(d.value.q1) - y(d.value.q3))
})
.attr("width", boxWidth)
.attr("stroke", "black")
.style("fill", "#69b3a2")
// Show the median
svg
.selectAll("medianLines")
.data(sumstat)
.enter()
.append("line")
.attr("x1", function(d) {
return (x(d.key) - boxWidth / 2)
})
.attr("x2", function(d) {
return (x(d.key) + boxWidth / 2)
})
.attr("y1", function(d) {
return (y(d.value.median))
})
.attr("y2", function(d) {
return (y(d.value.median))
})
.attr("stroke", "black")
.style("width", 80)
var r = 8;
// create a scale that'll return a discreet value
// so that close y values fall in a line
var yPtScale = y.copy()
.range([Math.floor(y.range()[0] / r), 0])
.interpolate(d3.interpolateRound)
.domain(y.domain());
// bucket the data
var ptsObj = {};
data.forEach(function(d,i) {
var yBucket = yPtScale(d.Sepal_Length);
if (!ptsObj[d.Species]){
ptsObj[d.Species] = {};
}
if (!ptsObj[d.Species][yBucket]){
ptsObj[d.Species][yBucket] = [];
}
ptsObj[d.Species][yBucket].push({
cy: yPtScale(d.Sepal_Length) * r,
cx: x(d.Species)
});
});
// determine the x position
for (var x in ptsObj){
for (var row in ptsObj[x]) {
var v = ptsObj[x][row], // array of points
m = v[0].cx, // mid-point
l = m - (((v.length / 2) * r) - r/2); // left most position based on count of points in the bucket
v.forEach(function(d,i){
d.cx = l + (r * i); // x position
});
}
}
// flatten the data structure
var flatData = Object.values(ptsObj)
.map(function(d){return Object.values(d)})
.flat(2);
svg
.selectAll("points")
.data(flatData)
.enter()
.append("circle")
.attr("cx", function(d) {
return d.cx;
})
.attr("cy", function(d) {
return d.cy;
})
.attr("r", 4)
.style("fill", "white")
.attr("stroke", "black")
})
</script>
</body>
</html>
Trying to implement border for selected bar in d3 stack bar chart. Here the first bar's top border goes behind second bar a little bit. How to avoid this?
var svg, height, width, margin, parentWidth, parentHeight;
// container size
parentWidth = 700;
parentHeight = 500;
margin = {top: 50, right: 20, bottom: 35, left: 30};
width = parentWidth - margin.left - margin.right;
height = parentHeight - margin.top - margin.bottom;
var selectedSection = window.sessionStorage.getItem('selectedSection');
// data
var dataset = [{"label":"DEC","Set Up":{"count":12,"id":1,"label":"Set Up","year":"2016","graphType":"setup"},"Not Set Up":{"count":12,"id":0,"label":"Not Set Up","year":"2016","graphType":"setup"}},{"label":"JAN","Set Up":{"count":6,"id":1,"label":"Set Up","year":"2017","graphType":"setup"},"Not Set Up":{"count":21,"id":0,"label":"Not Set Up","year":"2017","graphType":"setup"}},{"label":"FEB","Set Up":{"count":1,"id":1,"label":"Set Up","year":"2017","graphType":"setup"},"Not Set Up":{"count":2,"id":0,"label":"Not Set Up","year":"2017","graphType":"setup"}},{"label":"MAR","Set Up":{"count":0,"id":1,"label":"Set Up","year":"2017","graphType":"setup"},"Not Set Up":{"count":0,"id":0,"label":"Not Set Up","year":"2017","graphType":"setup"}},{"label":"APR","Set Up":{"count":0,"id":1,"label":"Set Up","year":"2017","graphType":"setup"},"Not Set Up":{"count":0,"id":0,"label":"Not Set Up","year":"2017","graphType":"setup"}}];
// x cord
var x = d3.scale.ordinal()
.rangeRoundBands([0, width], 0.2);
// color helper
var colorRange = d3.scale.category20();
var color = d3.scale.ordinal()
.range(colorRange.range());
// x axis
var xAxis = d3.svg.axis()
.scale(x)
.orient('bottom');
var colors = ['#50BEE9', '#30738C'];
// Set SVG
svg = d3.select('#chart')
.append('svg')
.attr('width', width + margin.left + margin.right)
.attr('height', height + margin.top + margin.bottom )
.attr('class', 'setup')
.append('g')
.attr('transform', 'translate(' + margin.left + ',' + margin.top + ')');
color.domain(d3.keys(dataset[0]).filter(function(key) { return key !== 'label'; }));
dataset.forEach(function(d) {
var y0 = 0;
d.values = color.domain().map(function(name) {
return {
name: name,
y0: y0,
y1: y0 += +d[name].count,
patientStatus:d[name].id,
graphType:d[name].graphType,
fromDate:{
month:d.label,
year:d[name].year
},
toDate:{
month:d.label,
year:d[name].year
}
};
});
d.total = d.values[d.values.length - 1].y1;
});
var y = d3.scale.linear()
.domain([0, d3.max(dataset, function(d) {
return d.total;
})])
.range([height, 0]);
var ticks = y.ticks(),
lastTick = ticks[ticks.length-1];
var newLastTick = lastTick + (ticks[1] - ticks[0]);
if (lastTick<y.domain()[1]){
ticks.push(lastTick + (ticks[1] - ticks[0]));
}
// adjust domain for further value
y.domain([y.domain()[0], newLastTick]);
// y axis
var yAxis = d3.svg.axis()
.scale(y)
.orient('left')
.tickSize(-width, 0, 0)
.tickFormat(d3.format('d'))
.tickValues(ticks);
x.domain(dataset.map(function(d) { return d.label; }));
y.domain([0, d3.max(dataset, function(d) { return d.total; })]);
svg.append('g')
.attr('class', 'x axis')
.attr('transform', 'translate(0,' + height + ')')
.call(xAxis);
svg.append('g')
.attr('class', 'y axis')
.call(yAxis);
var bar = svg.selectAll('.label')
.data(dataset)
.enter().append('g')
.attr('class', 'g')
.attr('id', function(d, i) {
return i;
})
.attr('transform', function(d) { return 'translate(' + x(d.label) + ',0)'; });
var barEnter = bar.selectAll('rect')
.data(function(d) { return d.values; })
.enter();
barEnter.append('rect')
.attr('width', x.rangeBand())
.attr('y', function(d) {
return y(d.y1);
})
.attr('class', function(d, i){
return 'bar';
})
.attr('height', function(d) { return y(d.y0) - y(d.y1); })
.style('fill', function(d,i) { return colors[i]; })
.on('click', function(d, i) {
d3.selectAll('.bar').classed('selected', false);
d3.select(this)
.classed('bar selected', true);
});
barEnter.append('text')
.text(function(d) {
var calcH = y(d.y0) - y(d.y1);
var inText = (d.y1-d.y0);
if(calcH >= 20) {
return inText;
} else {
return '';
}
})
.attr('class','inner-text')
.attr('y', function(d) { return y(d.y1)+(y(d.y0) - y(d.y1))/2 + 5; })
.attr('x', function(){
return (x.rangeBand()/2) - 10;
});
svg
.select('.y')
.selectAll('.tick')
.filter(function (d) {
return d % 1 !== 0;
})
.style('display','none');
svg
.select('.y')
.selectAll('.tick')
.filter(function (d) {
return d === 0;
})
.select('text')
.style('display','none');
JSFiddle
JSFiddle with d3 v4
In a SVG, just like a real painter putting ink to a white canvas, the element that is painted last stays on top.
Right now, the behaviour you're seeing is the expected one, because each stacked bar (rectangle) is in a different <g> element, and the groups, of course, have a given order in the SVG structure.
The solution involves just one line:
d3.select(this.parentNode).raise();
What this line does is selecting the group of the clicked rectangle and raising it (that is, moving it down in the DOM tree), so that group will be on top of all others. According to the API, raise():
Re-inserts each selected element, in order, as the last child of its parent. (emphasis mine)
"Moving down", "be on top" and "be the last child" may be a bit confusing and seem contradictory, but here is the explanation. Given this SVG structure:
<svg>
<foo></foo>
<bar></bar>
<baz></baz>
</svg>
<baz>, being the last element, is the one painted last, and it is the element visually on the top in the SVG. So, raising an element means moving it down in the SVG tree structure, but moving it up visually speaking.
Here is your updated fiddle: https://jsfiddle.net/86Lgaupt/
PS: I increased the stroke-width just to make visibly clear that the clicked rectangle is now on top.
Tag:
<div id='stacked-bar'></div>
Script:
var initStackedBarChart = {
draw: function(config) {
me = this,
domEle = config.element,
stackKey = config.key,
data = config.data,
margin = {top: 20, right: 20, bottom: 30, left: 50},
parseDate = d3.timeParse("%m/%Y"),
width = 550 - margin.left - margin.right,
height = 400 - margin.top - margin.bottom,
xScale = d3.scaleBand().range([0, width]).padding(0.1),
yScale = d3.scaleLinear().range([height, 0]),
color = d3.scaleOrdinal(d3.schemeCategory20),
xAxis = d3.axisBottom(xScale).tickFormat(d3.timeFormat("%b")),
yAxis = d3.axisLeft(yScale),
svg = d3.select("#"+domEle).append("svg")
.attr("width", width + margin.left + margin.right)
.attr("height", height + margin.top+10 + margin.bottom+10)
.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
var stack = d3.stack()
.keys(stackKey)
.order(d3.stackOrderNone)
.offset(d3.stackOffsetNone);
var layers= stack(data);
data.sort(function(a, b) { return b.total - a.total; });
xScale.domain(data.map(function(d) { return parseDate(d.date); }));
yScale.domain([0, d3.max(layers[layers.length - 1], function(d) { return d[0] + d[1]; }) ]).nice();
var layer = svg.selectAll(".layer")
.data(layers)
.enter().append("g")
.attr("class", "layer")
.style("fill", function(d, i) { return color(i); });
layer.selectAll("rect")
.data(function(d) { return d; })
.enter().append("rect")
.attr('class', 'bar')
.attr("x", function(d) { return xScale(parseDate(d.data.date)); })
.attr("y", function(d) { return yScale(d[1]); })
.attr("height", function(d) { return yScale(d[0]) - yScale(d[1]) -1; })
.attr("width", xScale.bandwidth())
.on('click', function(d, i) {
d3.selectAll('.bar').classed('selected', false);
d3.select(this).classed('selected', true);
});
svg.append("g")
.attr("class", "axis axis--x")
.attr("transform", "translate(0," + (height+5) + ")")
.call(xAxis);
svg.append("g")
.attr("class", "axis axis--y")
.attr("transform", "translate(0,0)")
.call(yAxis);
}
}
var data = [
{"date":"4/1854","total":45,"disease":12,"wounds":14,"other":25},
{"date":"5/1854","total":23,"disease":12,"wounds":0,"other":9},
{"date":"6/1854","total":38,"disease":11,"wounds":0,"other":6},
{"date":"7/1854","total":26,"disease":11,"wounds":8,"other":7}
];
var key = ["wounds", "other", "disease"];
initStackedBarChart.draw({
data: data,
key: key,
element: 'stacked-bar'
});
Css:
.axis text {
font: 10px sans-serif;
}
.axis line,
.axis path {
fill: none;
stroke: #000;
shape-rendering: crispEdges;
}
.axis--x path {
display: none;
}
.path-line {
fill: none;
stroke: yellow;
stroke-width: 1.5px;
}
svg {
background: #f0f0f0;
}
.selected{
stroke:#333;
stroke-width:2;
}
I'm currently trying to create tooltips for an interactive paired bar chart in d3 but I'm having trouble getting the x-position in order to locate the tooltip on the svg.
Here is a JSFiddle showing the problem: notice the yPosition updates but I'm not sure how to get the proper xPosition for each bar on mouseover
My code is as follows:
$(document).ready(function(){
//Graph
var e = $('#graph');
//Get width of graph div
var w = document.getElementById('graph').clientWidth;
//Set margins, width and height of graph
var margin = {top: 40, right: 20, bottom: 30, left: 40}, width = w - margin.left - margin.right -10, height = 500 - margin.top - margin.bottom;
//Sca;e amd ramge
var x = d3.scale.ordinal()
.rangeRoundBands([0, width], .1);
var x1 = d3.scale.ordinal();
var y = d3.scale.linear()
.range([height, 0]);
//Define x and y axis
var xAxis = d3.svg.axis()
.scale(x)
.orient("bottom");
var yAxis = d3.svg.axis()
.scale(y)
.orient("left");
//Generate svg element in graph div
var svg = d3.select("#graph").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 + ")");
//Redraw graph on window resize
function updateWindow(){
x = w.innerWidth || e.clientWidth || g.clientWidth;
y = w.innerHeight|| e.clientHeight|| g.clientHeight;
svg.attr("width", x).attr("height", y);
}
window.onresize = updateWindow;
//Access output data to populate graph
d3.csv("inputs/outputs/Milk_Month2.csv",type, function(error, data) {
//Graph colors
var color = d3.scale.ordinal().range(["#98abc5", "#8a89a6"]);
//data attributes for the two different graphs
var categoryNamesMilk = d3.keys(data[0]).filter(function(key) { return key !== "month" && key !== "water_current" && key !== "water_future" ; });
var categoryNamesWater = d3.keys(data[0]).filter(function(key) { return key !== "month" && key !== "milk_current" && key !== "milk_future" ; });
data.forEach(function(d) {
d.categoriesMilk = categoryNamesMilk.map(function(name) { return {name: name, value: +d[name]}; });
d.categoriesWater = categoryNamesWater.map(function(name) { return {name: name, value: +d[name]}; });
});
x.domain(data.map(function(d) { return d.month; }));
x1.domain(categoryNamesMilk).rangeRoundBands([0, x.rangeBand()]);
y.domain([0, d3.max(data, function(d) { return d3.max(d.categoriesMilk, function(d) { return d.value; }); })]);
//Generate X Axis
var axisX = svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis);
//Generate Y Axis
var axisY = svg.append("g")
.attr("class", "y axis")
.call(yAxis)
.append("text")
.attr("transform", "rotate(-90)")
.attr("y", 6)
.attr("dy", ".71em")
.style("text-anchor", "end")
.text("Milk Production (KG/Day)").attr("class","yaxis-text");
var infoBars = svg.selectAll(".bar")
.data(data)
.enter().append("g")
.attr("class", "g")
.attr("transform", function(d,i) {console.log(x(d.month),i); return "translate(" + x(d.month) + ",0)"; });
infoBars.selectAll("rect")
.data(function(d) { return d.categoriesMilk; })
.enter().append("rect")
.attr("width", x1.rangeBand())
.attr("x", function(d) { return x1(d.name); })
.attr("y", function(d) { return y(d.value); })
.attr("height", function(d) { return height - y(d.value); })
.style("fill", function(d) { return color(d.name); })
.on("mouseover", function(d,i) {
//Where I'm having problems - getting the X attribute!
var xPosition = parseFloat(x(i) + x1.rangeBand());
var yPosition = parseFloat(d3.select(this).attr("y")) / 2 + height / 2;
//Update the tooltip position and value
d3.select("#tooltip")
.style("left", xPosition + "px")
.style("top", yPosition + "px")
.select("#value")
.text(d.value);
//Show the tooltip
d3.select("#tooltip").classed("hidden", false);
}).on("mouseout", function() {
//Hide the tooltip
d3.select("#tooltip").classed("hidden", true);
});
});
//Data type conversion
function type(d) {
d.milk_current = +d.milk_current;
d.water_current = +d.water_current;
d.milk_future = +d.milk_future;
d.water_future = +d.water_future;
return d;
}
});
It pulls from a csv as follows (I also have a click function that transitions to a second paired graph, hence the additional data columns
month,water_current,milk_current,water_future,milk_future
1,2.259,1.955,2.4849,100
2,0.006,0,0.0066,0
3,14.443,11.795,15.8873,10.6155
4,2.87,21.538,3.157,19.3842
5,0,20.216,1,18.1944
6,0.973,18.37,1.0703,16.533
7,1.492,15.686,1.6412,14.1174
8,0,13.146,0.5,11.8314
9,0,12.087,0.4,10.8783
10,0,9.626,0.3,8.6634
11,7.434,8.19,8.1774,7.371
12,6.049,7.207,6.6539,6.4863
I'm pretty sure I need to access the parent element of each "rect" on mouseover and retrieve the x position, but I haven't had any luck doing this...Any advice?
You can access the parent g of each rect like:
.on("mouseover", function(d,i) {
var parentG = d3.select(this.parentNode);
To get the X value:
var barPos = parseFloat(parentG.attr('transform').split("(")[1]);
And the x position becomes:
var xPosition = barPos + x1(d.name);
Fiddle here.
Another way is to use d3.event.pageX/Y property
d3.select("#tooltip")
.style("left", (d3.event.pageX + 20) + "px")
.style("top", (d3.event.pageY - 50 )+ "px")**strong text**
I want to display two charts in one page.The Pie chart gets displayed but the Grouped and Stacked bar chart is not displaying . I tried to change the Id name in but no luck :( . Will appreciate if anyone helps me with the code correction .
/* Display Matrix Chart ,Pie chart, Grouped and Stacked bar chart in one page */
<apex:page showHeader="false">
<apex:includeScript value="{!URLFOR($Resource.jquery1)}"/>
<apex:includeScript value="{!URLFOR($Resource.D3)}"/>
<apex:includeScript value="{!URLFOR($Resource.nvD3)}"/>
<div id="body" height="50%" width="100px" ></div> // Id for Pie chart
<div id="body1" height="30%" width="90px"></div> // Id for Stacked and Grouped bar chart
<script>
// Matrix Chart starts here
var drawChart = function(divId,matrixReportId) {
$.ajax('/services/data/v29.0/analytics/reports/'+matrixReportId,
{
beforeSend: function(xhr) {
xhr.setRequestHeader('Authorization', 'Bearer {!$Api.Session_ID}');
},
success: function(response) {
console.log(response);
var chart = nv.models.multiBarChart();
var chartData = [];
document.getElementById(divId).innerHTML = '';
$.each(response.groupingsDown.groupings, function(di, de) {
var values = [];
chartData.push({"key":de.label, "values": values});
$.each(response.groupingsAcross.groupings, function(ai, ae) {
values.push({"x": ae.label, "y": response.factMap[de.key+"!"+ae.key].aggregates[0].value});
});
});
d3.select('#'+divId).datum(chartData).transition().duration(100).call(chart);
window.setTimeout(function(){
drawChart(divId,matrixReportId);
}, 5000);
}
}
);
};
$(document).ready(function(){
drawChart('chart','00O90000005SSHv');
});
// Pie Chart Starts here
var width =250 ,
height = 450,
radius = Math.min(width, height) / 2;
var data = [{"age":"<5","population":2704659},{"age":"14-17","population":2159981},
{"age":"14-17","population":2159981},{"age":"18-24","population":3853788},
{"age":"25-44","population":14106543},{"age":"45-64","population":8819342},
{"age":">65","population":612463}];
var color = d3.scale.ordinal()
.range(["#98abc5", "#8a89a6", "#7b6888", "#6b486b", "#a05d56", "#d0743c", "#ff8c00"]);
var arc = d3.svg.arc().outerRadius(radius - 10).innerRadius(0);
var pie = d3.layout.pie()
.sort(null)
.value(function(d) { return d.population; });
var svg = d3.select("#body").append("svg")
.attr("width", width)
.attr("height", height)
.append("g")
.attr("transform", "translate(" + width / 2 + "," + height / 2 + ")");
var g = svg.selectAll(".arc")
.data(pie(data))
.enter().append("g")
.attr("class", "arc");
g.append("path")
.attr("d", arc)
.style("fill", function(d) { return color(d.data.age); });
g.append("text")
.attr("transform", function(d) { return "translate(" + arc.centroid(d) + ")"; })
.attr("dy", ".35em")
.style("text-anchor", "middle")
.text(function(d) { return d.data.age; });
// Grouped and Stacked Bar Chart starts here
var n = 2, // number of layers
m = 10, // number of samples per layer
stack = d3.layout.stack(),
layers = stack(d3.range(n).map(function() { return bumpLayer(m, .1); })),
yGroupMax = d3.max(layers, function(layer) { return d3.max(layer, function(d) { return d.y; }); }),
yStackMax = d3.max(layers, function(layer) { return d3.max(layer, function(d) { return d.y0 + d.y; }); });
var margin = {top: 40, right: 10, bottom: 20, left: 10},
width = 960 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
var x = d3.scale.ordinal()
.domain(d3.range(m))
.rangeRoundBands([0, width], .08);
var y = d3.scale.linear()
.domain([0, yStackMax])
.range([height, 0]);
var color = d3.scale.linear()
.domain([0, n - 1])
.range(["#aad", "#556"]);
var xAxis = d3.svg.axis()
.scale(x)
.tickSize(0)
.tickPadding(6)
.orient("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 + ")");
var layer = svg.selectAll(".layer")
.data(layers)
.enter().append("g")
.attr("class", "layer")
.style("fill", function(d, i) { return color(i); });
var rect = layer.selectAll("rect")
.data(function(d) { return d; })
.enter().append("rect")
.attr("x", function(d) { return x(d.x); })
.attr("y", height)
.attr("width", x.rangeBand())
.attr("height", 0);
rect.transition()
.delay(function(d, i) { return i * 10; })
.attr("y", function(d) { return y(d.y0 + d.y); })
.attr("height", function(d) { return y(d.y0) - y(d.y0 + d.y); });
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis);
d3.selectAll("input").on("change", change);
var timeout = setTimeout(function() {
d3.select("input[value=\"grouped\"]").property("checked", true).each(change);
}, 2000);
function change() {
clearTimeout(timeout);
if (this.value === "grouped") transitionGrouped();
else transitionStacked();
}
function transitionGrouped() {
y.domain([0, yGroupMax]);
rect.transition()
.duration(500)
.delay(function(d, i) { return i * 10; })
.attr("x", function(d, i, j) { return x(d.x) + x.rangeBand() / n * j; })
.attr("width", x.rangeBand() / n)
.transition()
.attr("y", function(d) { return y(d.y); })
.attr("height", function(d) { return height - y(d.y); });
}
function transitionStacked() {
y.domain([0, yStackMax]);
rect.transition()
.duration(500)
.delay(function(d, i) { return i * 10; })
.attr("y", function(d) { return y(d.y0 + d.y); })
.attr("height", function(d) { return y(d.y0) - y(d.y0 + d.y); })
.transition()
.attr("x", function(d) { return x(d.x); })
.attr("width", x.rangeBand());
}
// Inspired by Lee Byron's test data generator.
function bumpLayer(n, o) {
function bump(a) {
var x = 1/(.1 + Math.random()),
y = 2*Math.random()-.5,
z = 10/(.1 + Math.random());
for (var i = 0; i < n; i++) {
var w = (i/n- y) * z;
a[i] += x * Math.exp(-w * w);
}
}
var a=[],i;
for (i = 0; i < n; ++i) a[i] = o + o * Math.random();
for (i = 0; i < 5; ++i) bump(a);
return a.map(function(d, i) { return {x: i, y: Math.max(0, d)}; });
}
</script>
<svg id="chart" height="50%" width="500px" ></svg> // Id for Matrix chart
</apex:page>
Thanks in advance
first, as we discussed here (d3 Donut chart does not render), you should position your
<div id="body1" height="30%" width="90px"></div>
above the script.
second, you are missing the # in your second svg-declaration to correctly select the div by its id, it has to be
var svg = d3.select("#body1").append("svg")
you could also think about naming the second svg differently (eg svg2) so you don't override your first svg-variable (in case you want to do something with it later).