d3.js - d3.js如何绘制带有垂直x轴标签的折线图
问题描述
d3.js 如何绘制带有垂直x轴标签的折线图？
我的小提琴： https ://jsfiddle.net/nitinjs/p1r49qeg/
// set the dimensions and margins of the graph
var margin = {top: 10, right: 30, bottom: 30, left: 60},
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
d3.csv("https://raw.githubusercontent.com/holtzy/D3-graph-gallery/master/DATA/connectedscatter.csv",
// When reading the csv, I must format variables:
function(d){
return { date : d3.timeParse("%Y-%m-%d")(d.date), value : d.value }
},
// Now I can use this dataset:
function(data) {
// Add X axis --> it is a date format
var x = d3.scaleTime()
.domain(d3.extent(data, function(d) { return d.date; }))
.range([ 0, width ]);
svg.append("g")
.attr("transform", "translate(0," + height + ")")
.call(d3.axisBottom(x));
// Add Y axis
var y = d3.scaleLinear()
.domain( [8000, 9200])
.range([ height, 0 ]);
svg.append("g")
.call(d3.axisLeft(y));
// Add the line
svg.append("path")
.datum(data)
.attr("fill", "none")
.attr("stroke", "#69b3a2")
.attr("stroke-width", 1.5)
.attr("d", d3.line()
.x(function(d) { return x(d.date) })
.y(function(d) { return y(d.value) })
)
// Add the points
svg
.append("g")
.selectAll("dot")
.data(data)
.enter()
.append("circle")
.attr("cx", function(d) { return x(d.date) } )
.attr("cy", function(d) { return y(d.value) } )
.attr("r", 5)
.attr("fill", "#69b3a2")
})
更新
我有几个问题，
1.如何使这个图在引导程序中响应，即。没有硬编码宽度和高度
2. 如何在按钮单击时更新此图
3. 如何从 0 开始 y 轴到任何值，例如 0 到 9100
解决方案
更新答案：要更改标签旋转只需选择所有文本元素并通过属性应用旋转，然后使用andtransform调整位置，如果您注意到我更改了变量中的填充底部值以便能够查看刻度文本，因为这将使它们通过旋转可以看到一半。dxdymargin
...
svg.append("g")
.attr("transform", "translate(0," + height + ")")
.call(d3.axisBottom(x))
.selectAll("text")
.style("text-anchor", "end")
.attr("dx", "-.8em")
.attr("dy", "-.5em")
.attr("transform", "rotate(-90)");
...
或工作片段：
// set the dimensions and margins of the graph
var margin = {top: 10, right: 30, bottom: 60, left: 60},
width = 460 - margin.left - margin.right,
height = 400 - margin.top - margin.bottom - 45;
// 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
d3.csv("https://raw.githubusercontent.com/holtzy/D3-graph-gallery/master/DATA/connectedscatter.csv",
// When reading the csv, I must format variables:
function(d){
return { date : d3.timeParse("%Y-%m-%d")(d.date), value : d.value }
},
// Now I can use this dataset:
function(data) {
// Add X axis --> it is a date format
var x = d3.scaleTime()
.domain(d3.extent(data, function(d) { return d.date; }))
.range([ 0, width ]);
svg.append("g")
.attr("transform", "translate(0," + height + ")")
.call(d3.axisBottom(x))
.selectAll("text")
.style("text-anchor", "end")
.attr("dx", "-.8em")
.attr("dy", "-.5em")
.attr("transform", "rotate(-90)");
// Add Y axis
var y = d3.scaleLinear()
.domain( [8000, 9200])
.range([ height, 0 ]);
svg.append("g")
.call(d3.axisLeft(y))
// Add the line
svg.append("path")
.datum(data)
.attr("fill", "none")
.attr("stroke", "#69b3a2")
.attr("stroke-width", 1.5)
.attr("d", d3.line()
.x(function(d) { return x(d.date) })
.y(function(d) { return y(d.value) })
)
// Add the points
svg
.append("g")
.selectAll("dot")
.data(data)
.enter()
.append("circle")
.attr("cx", function(d) { return x(d.date) } )
.attr("cy", function(d) { return y(d.value) } )
.attr("r", 5)
.attr("fill", "#69b3a2")
})<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/4.13.0/d3.js"></script>
<div id="my_dataviz"></div>更新的答案，我添加了对图表的响应并更改了左轴中第一个元素的标签，我会将数据更新留给您，还有一些注意事项，有更好的方法来制作响应式 d3 图表，其中一个是使用viewport 属性，但我自己没有测试，也是第一个从 0 开始的元素你，我希望我的改变能提供一些关于在哪里寻找的见解：
<!doctype html>
<html lang="en">
<head>
<!-- Required meta tags -->
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
<!-- Bootstrap CSS -->
<link rel="stylesheet" href="https://stackpath.bootstrapcdn.com/bootstrap/4.4.1/css/bootstrap.min.css" integrity="sha384-Vkoo8x4CGsO3+Hhxv8T/Q5PaXtkKtu6ug5TOeNV6gBiFeWPGFN9MuhOf23Q9Ifjh" crossorigin="anonymous">
</head>
<body>
<div id="my_dataviz"></div>
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/4.13.0/d3.js"></script>
<script>
// set the dimensions and margins of the graph
var margin = {top: 10, right: 30, bottom: 60, left: 60},
width = 1280 - margin.left - margin.right,
height = 650 - margin.top - margin.bottom - 45;
// 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('class', 'main-container')
.attr("transform",
"translate(" + margin.left + "," + margin.top + ")");
//Read the data
d3.csv("https://raw.githubusercontent.com/holtzy/D3-graph-gallery/master/DATA/connectedscatter.csv",
// When reading the csv, I must format variables:
function(d){
return { date : d3.timeParse("%Y-%m-%d")(d.date), value : d.value }
},
// Now I can use this dataset:
function(data) {
// Add X axis --> it is a date format
var x = d3.scaleTime()
.domain(d3.extent(data, function(d) { return d.date; }))
.range([ 0, width ]);
var axisBottom = svg.append("g")
.attr("transform", "translate(0," + height + ")")
.call(d3.axisBottom(x));
d3.selectAll('.axis-left text').filter((d, i) => { return i === 0}).text('0,000');
// Add Y axis
var y = d3.scaleLinear()
.domain( [8000, 9200])
.range([ height, 0 ]);
var axisLeft = svg.append("g")
.call(d3.axisLeft(y));
// Add the line
var line = svg.append("path")
.datum(data)
.attr("fill", "none")
.attr("stroke", "#69b3a2")
.attr("stroke-width", 1.5)
.attr("d", d3.line()
.x(function(d) { return x(d.date) })
.y(function(d) { return y(d.value) })
)
// Add the points
var dots = svg
.append("g")
.attr('class', 'dots')
.selectAll("dot")
.data(data)
.enter()
.append("circle")
.attr("cx", function(d) { return x(d.date) } )
.attr("cy", function(d) { return y(d.value) } )
.attr("r", 5)
.attr("fill", "#69b3a2")
function drawChart() {
// reset the width
width = parseInt(d3.select('body').style('width'), 10) - margin.left - margin.right;
height = (width * 0.45) - margin.top - margin.bottom;
d3.select("#my_dataviz svg")
.attr("height", height + margin.top + margin.bottom)
.attr("width", width + margin.left + margin.right)
d3.select('.main-container')
.attr("transform",
"translate(" + margin.left + "," + margin.top + ")");
x = d3.scaleTime()
.domain(d3.extent(data, function(d) { return d.date; }))
.range([ 0, width ]);
axisBottom.attr("transform", "translate(0," + height + ")")
.call(d3.axisBottom(x))
.attr('class', 'axis-bottom')
.selectAll("text")
.style("text-anchor", "end")
.attr("dx", "-.8em")
.attr("dy", "-.5em")
.attr("transform", "rotate(-90)");
// Add Y axis
y = d3.scaleLinear()
.domain( [8000, 9200])
.range([ height, 0 ]);
axisLeft.call(d3.axisLeft(y)).attr('class', 'axis-left');
//this is shiit!! there must be a better way.
d3.selectAll('.axis-left text').filter((d, i) => { return i === 0}).text('0,000');
line.datum(data)
.attr("fill", "none")
.attr("stroke", "#69b3a2")
.attr("stroke-width", 1.5)
.attr("d", d3.line()
.x(function(d) { return x(d.date) })
.y(function(d) { return y(d.value) })
);
d3.select('.dots').remove();
var dots = svg
.append("g")
.attr('class', 'dots')
.selectAll("dot")
.data(data)
.enter()
.append("circle")
.attr("cx", function(d) { return x(d.date) } )
.attr("cy", function(d) { return y(d.value) } )
.attr("r", 5)
.attr("fill", "#69b3a2");
}
// call this once to draw the chart initially
drawChart();
//////////////////////////////////////////////
// Resizing //////////////////////////////////
//////////////////////////////////////////////
// redraw chart on resize
window.addEventListener('resize', drawChart);
})
</script>
</body>
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