按照示例https://www.d3-graph-gallery.com/graph/violin_basicHist.html，我是d3的新手，我制作了小提琴图，但找不到任何与水平小提琴图有关的示例，我试图将X轴更改为Y，将Y轴更改为X，但这没有。工作：
这是我创建的图形的示例：
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) {
// Build and Show the Y scale
var y = d3.scaleLinear()
.domain([3.5, 8]) // Note that here the Y scale is set manually
.range([height, 0])
svg.append("g").call(d3.axisLeft(y))
// Build and Show the X scale. It is a band scale like for a boxplot: each group has an dedicated RANGE on the axis. This range has a length of x.bandwidth
var x = d3.scaleBand()
.range([0, width])
.domain(["setosa", "versicolor", "virginica"])
.padding(0.05) // This is important: it is the space between 2 groups. 0 means no padding. 1 is the maximum.
svg.append("g")
.attr("transform", "translate(0," + height + ")")
.call(d3.axisBottom(x))
// Features of the histogram
var histogram = d3.histogram()
.domain(y.domain())
.thresholds(y.ticks(20)) // Important: how many bins approx are going to be made? It is the 'resolution' of the violin plot
.value(d => d)
// Compute the binning for each group of the dataset
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) { // For each key..
input = d.map(function(g) {
return g.Sepal_Length;
}) // Keep the variable called Sepal_Length
bins = histogram(input) // And compute the binning on it.
return (bins)
})
.entries(data)
// What is the biggest number of value in a bin? We need it cause this value will have a width of 100% of the bandwidth.
var maxNum = 0
for (i in sumstat) {
allBins = sumstat[i].value
lengths = allBins.map(function(a) {
return a.length;
})
longuest = d3.max(lengths)
if (longuest > maxNum) {
maxNum = longuest
}
}
// 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])
// Add the shape to this svg!
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 bin per bin
.style("stroke", "none")
.style("fill", "#69b3a2")
.attr("d", d3.area()
.x0(function(d) {
return (xNum(-d.length))
})
.x1(function(d) {
return (xNum(d.length))
})
.y(function(d) {
return (y(d.x0))
})
.curve(d3.curveCatmullRom) // This makes the line smoother to give the violin appearance. Try d3.curveStep to see the difference
)
});<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/4.13.0/d3.min.js"></script>
<div id="my_dataviz"></div>
但是它的垂直小提琴图可以将其转换为水平小提琴图，任何帮助将不胜感激
答案 0 :(得分：0)
我保持结构几乎相同，有时只是更改了x和y。我建议使用DiffChecker之类的工具来将代码并排放置并查看所有差异。
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) {
// Build and Show the Y scale
var x = d3.scaleLinear()
.domain([3.5, 8]) // Note that here the Y scale is set manually
.range([0, width])
svg.append("g")
.attr("transform", "translate(0," + height + ")")
.call(d3.axisBottom(x))
// Build and Show the X scale. It is a band scale like for a boxplot: each group has an dedicated RANGE on the axis. This range has a length of x.bandwidth
var y = d3.scaleBand()
.range([height, 0])
.domain(["setosa", "versicolor", "virginica"])
.padding(0.05) // This is important: it is the space between 2 groups. 0 means no padding. 1 is the maximum.
svg.append("g").call(d3.axisLeft(y))
// Features of the histogram
var histogram = d3.histogram()
.domain(x.domain())
.thresholds(x.ticks(20)) // Important: how many bins approx are going to be made? It is the 'resolution' of the violin plot
.value(d => d)
// Compute the binning for each group of the dataset
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) { // For each key..
input = d.map(function(g) {
return g.Sepal_Length;
}) // Keep the variable called Sepal_Length
bins = histogram(input) // And compute the binning on it.
return (bins)
})
.entries(data)
// What is the biggest number of value in a bin? We need it cause this value will have a width of 100% of the bandwidth.
var maxNum = 0
for (i in sumstat) {
allBins = sumstat[i].value
lengths = allBins.map(function(a) {
return a.length;
})
longuest = d3.max(lengths)
if (longuest > maxNum) {
maxNum = longuest
}
}
// The maximum width of a violin must be y.bandwidth = the width dedicated to a group
var yNum = d3.scaleLinear()
.range([0, y.bandwidth()])
.domain([-maxNum, maxNum])
// Add the shape to this svg!
svg
.selectAll("myViolin")
.data(sumstat)
.enter() // So now we are working group per group
.append("g")
.attr("transform", function(d) {
return ("translate(0," + y(d.key) + ")")
}) // Translation on the right to be at the group position
.append("path")
.datum(function(d) {
return (d.value)
}) // So now we are working bin per bin
.style("stroke", "none")
.style("fill", "#69b3a2")
.attr("d", d3.area()
.x(function(d) {
return (x(d.x0))
})
.y0(function(d) {
return (yNum(-d.length))
})
.y1(function(d) {
return (yNum(d.length))
})
.curve(d3.curveCatmullRom) // This makes the line smoother to give the violin appearance. Try d3.curveStep to see the difference
)
});<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/4.13.0/d3.min.js"></script>
<div id="my_dataviz"></div>