Treat it exactly the same as a normal stacked bar chart, except invert the x and y values before stacking, and then invert them back afterwards.
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January 4, 2016 12:29
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<!doctype html> | |
<html> | |
<head> | |
<meta charset="utf-8"> | |
<style> | |
.bar { | |
} | |
.axis path, | |
.axis line { | |
fill: none; | |
stroke: black; | |
shape-rendering: crispEdges; | |
} | |
.axis text { | |
font-family: sans-serif; | |
font-size: 11px; | |
} | |
#tooltip { | |
position: absolute; | |
text-align: center; | |
width: 40px; | |
height: auto; | |
padding: 10px; | |
background-color: white; | |
-webkit-border-radius: 10px; | |
-moz-border-radius: 10px; | |
border-radius: 10px; | |
-webkit-box-shadow: 4px 4px 10px rgba(0, 0, 0, 0.4); | |
-moz-box-shadow: 4px 4px 10px rgba(0, 0, 0, 0.4); | |
box-shadow: 4px 4px 10px rgba(0, 0, 0, 0.4); | |
pointer-events: none; | |
} | |
#tooltip.hidden { | |
display: none; | |
} | |
#tooltip p { | |
margin: 0; | |
font-family: sans-serif; | |
font-size: 16px; | |
line-height: 20px; | |
} | |
</style> | |
</head> | |
<body> | |
<script src="http://d3js.org/d3.v3.min.js"></script> | |
<div id="tooltip" class="hidden"> | |
<p><span id="value">100</span></p> | |
</div> | |
<script> | |
var margins = { | |
top: 12, | |
left: 48, | |
right: 24, | |
bottom: 24 | |
}, | |
legendPanel = { | |
width: 240 | |
}, | |
width = 700 - margins.left - margins.right - legendPanel.width, | |
height = 100 - margins.top - margins.bottom, | |
dataset = [ | |
{ | |
data: [ | |
{ month: 'Aug', count: 123 }, | |
{ month: 'Sep', count: 234 }, | |
{ month: 'Oct', count: 345 } | |
], | |
name: 'Series #1' | |
}, | |
{ | |
data: [ | |
{ month: 'Aug', count: 235 }, | |
{ month: 'Sep', count: 267 }, | |
{ month: 'Oct', count: 573 } | |
], | |
name: 'Series #2' | |
} | |
], | |
series = dataset.map(function(d) { return d.name; }), | |
dataset = dataset.map(function(d) { | |
return d.data.map(function(o, i) { | |
// Structure it so that your numeric | |
// axis (the stacked amount) is y | |
return { | |
y: o.count, | |
x: o.month | |
}; | |
}); | |
}), | |
stack = d3.layout.stack(); | |
stack(dataset); | |
var dataset = dataset.map(function(group) { | |
return group.map(function(d) { | |
// Invert the x and y values, and y0 becomes x0 | |
return { | |
x: d.y, | |
y: d.x, | |
x0: d.y0 | |
}; | |
}); | |
}), | |
svg = d3.select('body') | |
.append('svg') | |
.attr('width', width + margins.left + margins.right + legendPanel.width) | |
.attr('height', height + margins.top + margins.bottom) | |
.append('g') | |
.attr('transform', 'translate(' + margins.left + ',' + margins.top + ')'), | |
xMax = d3.max(dataset, function(group) { | |
return d3.max(group, function(d) { | |
return d.x + d.x0; | |
}); | |
}), | |
xScale = d3.scale.linear() | |
.domain([0, xMax]) | |
.range([0, width]), | |
months = dataset[0].map(function(d) { return d.y; }), | |
_ = console.log(months), | |
yScale = d3.scale.ordinal() | |
.domain(months) | |
.rangeRoundBands([0, height], .1), | |
xAxis = d3.svg.axis() | |
.scale(xScale) | |
.orient('bottom'), | |
yAxis = d3.svg.axis() | |
.scale(yScale) | |
.orient('left'), | |
colours = d3.scale.category10(), | |
groups = svg.selectAll('g') | |
.data(dataset) | |
.enter() | |
.append('g') | |
.style('fill', function(d, i) { | |
return colours(i); | |
}), | |
rects = groups.selectAll('rect') | |
.data(function(d) { return d; }) | |
.enter() | |
.append('rect') | |
.attr('x', function(d) { return xScale(d.x0); }) | |
.attr('y', function(d, i) { return yScale(d.y); }) | |
.attr('height', function(d) { return yScale.rangeBand(); }) | |
.attr('width', function(d) { return xScale(d.x); }) | |
.on('mouseover', function(d) { | |
var xPos = parseFloat(d3.select(this).attr('x')) / 2 + width / 2; | |
var yPos = parseFloat(d3.select(this).attr('y')) + yScale.rangeBand() / 2; | |
d3.select('#tooltip') | |
.style('left', xPos + 'px') | |
.style('top', yPos + 'px') | |
.select('#value') | |
.text(d.x); | |
d3.select('#tooltip').classed('hidden', false); | |
}) | |
.on('mouseout', function() { | |
d3.select('#tooltip').classed('hidden', true); | |
}) | |
svg.append('g') | |
.attr('class', 'axis') | |
.attr('transform', 'translate(0,' + height + ')') | |
.call(xAxis); | |
svg.append('g') | |
.attr('class', 'axis') | |
.call(yAxis); | |
svg.append('rect') | |
.attr('fill', 'yellow') | |
.attr('width', 160) | |
.attr('height', 30 * dataset.length) | |
.attr('x', width + margins.left) | |
.attr('y', 0); | |
series.forEach(function(s, i) { | |
svg.append('text') | |
.attr('fill', 'black') | |
.attr('x', width + margins.left + 8) | |
.attr('y', i * 24 + 24) | |
.text(s); | |
svg.append('rect') | |
.attr('fill', colours(i)) | |
.attr('width', 60) | |
.attr('height', 20) | |
.attr('x', width + margins.left + 90) | |
.attr('y', i * 24 + 6); | |
}); | |
</script> | |
</body> | |
</html> |
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