使用d3.v5实现条形图

效果图：

条形图：

使用d3.v5实现条形图-LMLPHP

目录结构：

使用d3.v5实现条形图-LMLPHP

<!DOCTYPE html>

<html lang="en">

<head>

    <meta charset="UTF-8">

    <link href="css/style.css" media="screen" rel="stylesheet" type="text/css"/>

    <title>Linechart1</title>

</head>

<body>

    <div id="container"></div>

    <script src="https://d3js.org/d3.v5.min.js"></script>

    <script src="js/index.js"></script>

</body>

</html>

index.html

svg rect{

    fill:#339999;

}

svg rect:hover {

    cursor: pointer;

    fill: #66cccc;

}

style.css

year,population

1953,5.94

1964,6.95

1982,10.08

1990,11.34

2000,12.66

2010,13.40

data.csv

/垂直Bar，加刻度

d3.csv("Data/data.csv",function (d) {

    return {

        // year: new Date(+d.year, 0, 1), // convert "Year" column to Date

        year: d.year+"年",

        population: +d.population // convert "population" column to number

    };

}).then(function (data) {

    console.log(data);

    var //data=[1,8,5,6,8,9,3,5,2,20],

        width=1000,

        height=500,

        margin={left:30,top:30,right:30,bottom:30},

        svg_width=width+margin.left+margin.right,

        svg_height=height+margin.top+margin.bottom;

    //离散缩放 population=>[0,width]

    var scale_x=d3.scaleBand()

        .domain(data.map(function (d) {

            return d.year;

        }))

        .range([0,width])

        .padding(0.1);

    //线性缩放

    var scale_y=d3.scaleLinear()

        .domain([0,d3.max(data,function (d) {

            return d.population;

        })])

        .range([height,0])

    var svg=d3.select("#container")

        .append("svg")

        .attr("width",svg_width)

        .attr("height",svg_height)

    var chart=svg.append("g")

        .attr("transform","translate("+margin.left+","+margin.top+")");

    var x_axis_color="steelblue",

        y_axis_color="steelblue";

    var x_axis=chart.append('g')

        .call(d3.axisBottom(scale_x))

        .attr("transform","translate(0,"+height+")");

    x_axis.selectAll("path")

        .attr("stroke",x_axis_color)

    x_axis.selectAll("line")

        .attr("stroke",x_axis_color)

    x_axis.selectAll("text")

        .attr("font-size",'2em')

    var y_axis=chart.append('g')

        .call(d3.axisLeft(scale_y));

    y_axis.selectAll("path")

        .attr("stroke",y_axis_color)

    y_axis.selectAll("line")

        .attr("stroke",y_axis_color)

    y_axis.selectAll("text")

        .attr("font-size",'2em')

    //Y轴注解

    chart.append("text")

        .text("(亿)")

        // .attr("text-anchor","end")

        // .attr("transform","rotate(-90)")

        .attr("dy","1em")

    //X轴注解

    chart.append("text")

        .text("(年)")

        // .attr("text-anchor","end")

        .attr("transform","translate("+width+","+height+")")

        .attr("dy","1em")

    var bar=chart.selectAll(".bar")

        .data(data)

        .enter()

        .append("g")

        .attr("transform",function (d,i) {

            return "translate("+scale_x(d.year)+",0)"

        })

    bar.append("rect")

        .attr("y",function (d) {

            return scale_y(d.population);

        })

        .attr("height",function (d) {

            return height-scale_y(d.population);

        })

        .attr("width",scale_x.bandwidth() )

        .attr("class",".rect")

    bar.append("text")

        .text(function (d) {

            return d.population+"亿";

        })

        .attr("y",function (d) {

            return scale_y(d.population);

        })

        .attr("x",scale_x.bandwidth() /2)

        .attr("dy","1em")

        .style("text-anchor","middle")

        .style("fill","white")

})

index.js

参考教程：https://www.imooc.com/learn/103