为什么我的 d3.js 的两个图表没有合并在一个页面中？
why my two graph of d3.js is not combined in the single page?
我分别在条形图和饼图的单独页面上制作了两个单独的图表，现在我想将这两个图表合并到一个页面中，这样我就可以拥有一个仪表板。但是当我开始在主页上合并两个图表时，它并没有发生，它们相互重叠。
代码：
https://github.com/Mustafa2911/d3-design/blob/main/combine.html
组合文件包含：饼图和条形图的代码。
条形文件包含：条形图代码。
饼图包含：饼图代码。
用你的代码试过了。
滚动查看条形图轴。
注意：条形图数据将不可用 ∵ 它来自您存储库中的 demo1.csv 文件。
希望对您有所帮助。
<!DOCTYPE html>
<meta charset="utf-8">
<head>
<!-- Load d3.js -->
<script src="https://d3js.org/d3.v4.js"></script>
<script src="https://d3js.org/d3-scale-chromatic.v1.min.js"></script>
<style>
#my_dataviz {
display: inline-block;
width: 50%;
}
</style>
</head>
<body>
<div id="my_dataviz"></div>
<script>
// set the dimensions and margins of the graph
var width = 800
height = 450
margin = 40
// The radius of the pieplot is half the width or half the height (smallest one). I subtract a bit of margin.
var radius = Math.min(width, height) / 2 - margin
// append the svg object to the div called 'my_dataviz'
var svg = d3.select("#my_dataviz")
.append("svg")
.attr("width", width)
.attr("height", height)
.append("g")
.attr("transform", "translate(" + width / 2 + "," + height / 2 + ")");
// Create dummy data
var data = {
Corporation_Tax: 15,
Income_Tax: 15,
Customs: 5,
Union_Excise_Duties: 7,
Good_and_Service_tax: 16,
Non_tax_Revenue: 5,
Non_Dept_Capital_Receipt: 2,
Borrowings_Liabilities: 35
}
// set the color scale
var color = d3.scaleOrdinal()
.domain(["a", "b", "c", "d", "e", "f", "g", "h"])
.range(d3.schemeSet1);
// Compute the position of each group on the pie:
var pie = d3.pie()
.sort(null) // Do not sort group by size
.value(function(d) {
return d.value;
})
var data_ready = pie(d3.entries(data))
// The arc generator
var arc = d3.arc()
.innerRadius(radius * 0.5) // This is the size of the donut hole
.outerRadius(radius * 0.8)
// Another arc that won't be drawn. Just for labels positioning
var outerArc = d3.arc()
.innerRadius(radius * 0.9)
.outerRadius(radius * 0.9)
// Build the pie chart: Basically, each part of the pie is a path that we build using the arc function.
svg
.selectAll('allSlices')
.data(data_ready)
.enter()
.append('path')
.attr('d', arc)
.attr('fill', function(d) {
return (color(d.data.key))
})
.attr("stroke", "white")
.style("stroke-width", "2px")
.style("opacity", 1)
// Add the polylines between chart and labels:
svg
.selectAll('allPolylines')
.data(data_ready)
.enter()
.append('polyline')
.attr("stroke", "black")
.style("fill", "none")
.attr("stroke-width", 1)
.attr('points', function(d) {
var posA = arc.centroid(d) // line insertion in the slice
var posB = outerArc.centroid(d) // line break: we use the other arc generator that has been built only for that
var posC = outerArc.centroid(d); // Label position = almost the same as posB
var midangle = d.startAngle + (d.endAngle - d.startAngle) / 2 // we need the angle to see if the X position will be at the extreme right or extreme left
posC[0] = radius * 0.95 * (midangle < Math.PI ? 1 : -1); // multiply by 1 or -1 to put it on the right or on the left
return [posA, posB, posC]
})
// Add the polylines between chart and labels:
svg
.selectAll('allLabels')
.data(data_ready)
.enter()
.append('text')
.text(function(d) {
console.log(d.data.key);
return d.data.key
})
.attr('transform', function(d) {
var pos = outerArc.centroid(d);
var midangle = d.startAngle + (d.endAngle - d.startAngle) / 2
pos[0] = radius * 0.99 * (midangle < Math.PI ? 1 : -1);
return 'translate(' + pos + ')';
})
.style('text-anchor', function(d) {
var midangle = d.startAngle + (d.endAngle - d.startAngle) / 2
return (midangle < Math.PI ? 'start' : 'end')
})
</script>
<style>
#my_dataviz {
display: inline-block;
width: 50%;
}
</style>
<div id="my_dataviz_es"></div>
<script>
// set the dimensions and margins of the graph
var margin = {
top: 20,
right: 30,
bottom: 40,
left: 160
},
width = 460,
height = 400;
// append the svg object to the body of the page
var svg = d3.select("#my_dataviz_es")
.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 + ")");
// Parse the Data
d3.csv("demo1.csv", function(data) {
// Add X axis
var x = d3.scaleLinear()
.domain([0, 550000])
.range([0, width]);
svg.append("g")
.attr("transform", "translate(0," + height + ")")
.call(d3.axisBottom(x))
.selectAll("text")
.attr("transform", "translate(-10,0)rotate(-45)")
.style("text-anchor", "end");
// Y axis
var y = d3.scaleBand()
.range([0, height])
.domain(data.map(function(d) {
return d.Country;
}))
.padding(.1);
svg.append("g")
.call(d3.axisLeft(y))
//Bars
svg.selectAll("myRect")
.data(data)
.enter()
.append("rect")
.attr("x", x(0))
.attr("y", function(d) {
return y(d.Country);
})
.attr("width", function(d) {
return x(d.Value);
})
.attr("height", y.bandwidth())
.attr("fill", "#69b3a2")
// .attr("x", function(d) { return x(d.Country); })
// .attr("y", function(d) { return y(d.Value); })
// .attr("width", x.bandwidth())
// .attr("height", function(d) { return height - y(d.Value); })
// .attr
})
</script>
</body>
</html>
编辑：请参阅此处 - https://codepen.io/KZJ/pen/rNpqvdq?editors=1011 - 了解对注册所做的更改。以下评论
what if I want to have my bar chart at the top and on right side i want to have my pie chart
已更改 -
a) 两个图表都使用相同的名称 'svg' 到 d3.select() div。这导致图表重叠。
b) 修改了宽度、高度、变换，并添加了一些边框CSS - 仅用于演示目的 - 可以根据需要removed/edited。
FYR 这是现在的样子 -
我分别在条形图和饼图的单独页面上制作了两个单独的图表，现在我想将这两个图表合并到一个页面中，这样我就可以拥有一个仪表板。但是当我开始在主页上合并两个图表时，它并没有发生，它们相互重叠。
代码：
https://github.com/Mustafa2911/d3-design/blob/main/combine.html
组合文件包含：饼图和条形图的代码。
条形文件包含：条形图代码。
饼图包含：饼图代码。
用你的代码试过了。 滚动查看条形图轴。
注意：条形图数据将不可用 ∵ 它来自您存储库中的 demo1.csv 文件。
希望对您有所帮助。
<!DOCTYPE html>
<meta charset="utf-8">
<head>
<!-- Load d3.js -->
<script src="https://d3js.org/d3.v4.js"></script>
<script src="https://d3js.org/d3-scale-chromatic.v1.min.js"></script>
<style>
#my_dataviz {
display: inline-block;
width: 50%;
}
</style>
</head>
<body>
<div id="my_dataviz"></div>
<script>
// set the dimensions and margins of the graph
var width = 800
height = 450
margin = 40
// The radius of the pieplot is half the width or half the height (smallest one). I subtract a bit of margin.
var radius = Math.min(width, height) / 2 - margin
// append the svg object to the div called 'my_dataviz'
var svg = d3.select("#my_dataviz")
.append("svg")
.attr("width", width)
.attr("height", height)
.append("g")
.attr("transform", "translate(" + width / 2 + "," + height / 2 + ")");
// Create dummy data
var data = {
Corporation_Tax: 15,
Income_Tax: 15,
Customs: 5,
Union_Excise_Duties: 7,
Good_and_Service_tax: 16,
Non_tax_Revenue: 5,
Non_Dept_Capital_Receipt: 2,
Borrowings_Liabilities: 35
}
// set the color scale
var color = d3.scaleOrdinal()
.domain(["a", "b", "c", "d", "e", "f", "g", "h"])
.range(d3.schemeSet1);
// Compute the position of each group on the pie:
var pie = d3.pie()
.sort(null) // Do not sort group by size
.value(function(d) {
return d.value;
})
var data_ready = pie(d3.entries(data))
// The arc generator
var arc = d3.arc()
.innerRadius(radius * 0.5) // This is the size of the donut hole
.outerRadius(radius * 0.8)
// Another arc that won't be drawn. Just for labels positioning
var outerArc = d3.arc()
.innerRadius(radius * 0.9)
.outerRadius(radius * 0.9)
// Build the pie chart: Basically, each part of the pie is a path that we build using the arc function.
svg
.selectAll('allSlices')
.data(data_ready)
.enter()
.append('path')
.attr('d', arc)
.attr('fill', function(d) {
return (color(d.data.key))
})
.attr("stroke", "white")
.style("stroke-width", "2px")
.style("opacity", 1)
// Add the polylines between chart and labels:
svg
.selectAll('allPolylines')
.data(data_ready)
.enter()
.append('polyline')
.attr("stroke", "black")
.style("fill", "none")
.attr("stroke-width", 1)
.attr('points', function(d) {
var posA = arc.centroid(d) // line insertion in the slice
var posB = outerArc.centroid(d) // line break: we use the other arc generator that has been built only for that
var posC = outerArc.centroid(d); // Label position = almost the same as posB
var midangle = d.startAngle + (d.endAngle - d.startAngle) / 2 // we need the angle to see if the X position will be at the extreme right or extreme left
posC[0] = radius * 0.95 * (midangle < Math.PI ? 1 : -1); // multiply by 1 or -1 to put it on the right or on the left
return [posA, posB, posC]
})
// Add the polylines between chart and labels:
svg
.selectAll('allLabels')
.data(data_ready)
.enter()
.append('text')
.text(function(d) {
console.log(d.data.key);
return d.data.key
})
.attr('transform', function(d) {
var pos = outerArc.centroid(d);
var midangle = d.startAngle + (d.endAngle - d.startAngle) / 2
pos[0] = radius * 0.99 * (midangle < Math.PI ? 1 : -1);
return 'translate(' + pos + ')';
})
.style('text-anchor', function(d) {
var midangle = d.startAngle + (d.endAngle - d.startAngle) / 2
return (midangle < Math.PI ? 'start' : 'end')
})
</script>
<style>
#my_dataviz {
display: inline-block;
width: 50%;
}
</style>
<div id="my_dataviz_es"></div>
<script>
// set the dimensions and margins of the graph
var margin = {
top: 20,
right: 30,
bottom: 40,
left: 160
},
width = 460,
height = 400;
// append the svg object to the body of the page
var svg = d3.select("#my_dataviz_es")
.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 + ")");
// Parse the Data
d3.csv("demo1.csv", function(data) {
// Add X axis
var x = d3.scaleLinear()
.domain([0, 550000])
.range([0, width]);
svg.append("g")
.attr("transform", "translate(0," + height + ")")
.call(d3.axisBottom(x))
.selectAll("text")
.attr("transform", "translate(-10,0)rotate(-45)")
.style("text-anchor", "end");
// Y axis
var y = d3.scaleBand()
.range([0, height])
.domain(data.map(function(d) {
return d.Country;
}))
.padding(.1);
svg.append("g")
.call(d3.axisLeft(y))
//Bars
svg.selectAll("myRect")
.data(data)
.enter()
.append("rect")
.attr("x", x(0))
.attr("y", function(d) {
return y(d.Country);
})
.attr("width", function(d) {
return x(d.Value);
})
.attr("height", y.bandwidth())
.attr("fill", "#69b3a2")
// .attr("x", function(d) { return x(d.Country); })
// .attr("y", function(d) { return y(d.Value); })
// .attr("width", x.bandwidth())
// .attr("height", function(d) { return height - y(d.Value); })
// .attr
})
</script>
</body>
</html>
编辑：请参阅此处 - https://codepen.io/KZJ/pen/rNpqvdq?editors=1011 - 了解对注册所做的更改。以下评论
what if I want to have my bar chart at the top and on right side i want to have my pie chart
已更改 -
a) 两个图表都使用相同的名称 'svg' 到 d3.select() div。这导致图表重叠。
b) 修改了宽度、高度、变换，并添加了一些边框CSS - 仅用于演示目的 - 可以根据需要removed/edited。
FYR 这是现在的样子 -