eachart可视化案例

叽里呱啦_711

已于 2022-10-05 17:25:56 修改

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文章标签： javascript 前端 echarts

于 2022-10-03 10:09:33 首次发布

本文链接：https://blog.youkuaiyun.com/m0_46678809/article/details/127149612

版权

本文通过一个具体的案例，展示了如何使用ECharts进行数据可视化。项目中涉及到div+css布局、Flex布局、Less预处理器，以及原生JavaScript和jQuery的结合应用，并采用rem适配以适应不同设备。此外，还涵盖了ECharts的基础知识。最后，提供了项目的成果图和相关源代码链接。

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项目代码:阿里云盘分享https://www.aliyundrive.com/s/w6cTcNv6hYv

需要运用

div + css 布局
flex 布局
Less
原生js + jquery 使用
rem适配
echarts基础

成果图

index.html

<!DOCTYPE html>
<html lang="en">
  <head>
    <meta charset="UTF-8" />
    <meta name="viewport" content="width=device-width, initial-scale=1.0" />
    <title>Document</title>
    <link rel="stylesheet" href="css/index.css" />
  </head>

  <body>
    <header>
      <h1>可视化展板-ECharts</h1>
      <div class="showTime">当前时间：2020年3月17-0时54分14秒</div>
      <script>
        var t = null;
        t = setTimeout(time, 1000); //開始运行
        function time() {
          clearTimeout(t); //清除定时器
          dt = new Date();
          var y = dt.getFullYear();
          var mt = dt.getMonth() + 1;
          var day = dt.getDate();
          var h = dt.getHours(); //获取时
          var m = dt.getMinutes(); //获取分
          var s = dt.getSeconds(); //获取秒
          document.querySelector(".showTime").innerHTML =
            "当前时间：" +
            y +
            "年" +
            mt +
            "月" +
            day +
            "-" +
            h +
            "时" +
            m +
            "分" +
            s +
            "秒";
          t = setTimeout(time, 1000); //设定定时器，循环运行
        }
      </script>
    </header>
    <section class="mainbox">
      <div class="column">
        <div class="panel bar">
          <h2>
            柱状图-就业行业 <a href="javascript:;">2019</a>
            <a href="javacript:;"> 2020</a>
          </h2>
          <div class="chart"></div>
          <div class="panel-footer"></div>
        </div>
        <div class="panel line">
          <h2>折线图-人员变化</h2>
          <div class="chart"></div>
          <div class="panel-footer"></div>
        </div>
        <div class="panel pie">
          <h2>饼形图-年龄分布</h2>
          <div class="chart"></div>
          <div class="panel-footer"></div>
        </div>
      </div>
      <div class="column">
        <div class="no">
          <div class="no-hd">
            <ul>
              <li>125811</li>
              <li>104563</li>
            </ul>
          </div>
          <div class="no-bd">
            <ul>
              <li>前端需求人数</li>
              <li>市场供应人数</li>
            </ul>
          </div>
        </div>
        <div class="map">
          <div class="chart"></div>
          <div class="map1"></div>
          <div class="map2"></div>
          <div class="map3"></div>
        </div>
      </div>
      <div class="column">
        <div class="panel bar1">
          <h2>柱状图-技能掌握</h2>
          <div class="chart"></div>
          <div class="panel-footer"></div>
        </div>
        <div class="panel line1">
          <h2>折线图-播放量</h2>
          <div class="chart"></div>
          <div class="panel-footer"></div>
        </div>
        <div class="panel pie1">
          <h2>饼形图-地区分布</h2>
          <div class="chart"></div>
          <div class="panel-footer"></div>
        </div>
      </div>
    </section>
    <script src="js/flexible.js"></script>
    <script src="js/jquery.js"></script>
    <script src="js/echarts.min.js"></script>
    <script src="js/index.js"></script>
    <script src="js/china.js"></script>
    <script src="js/myMap.js"></script>
  </body>
</html>

index.js

(function () {
    var myChart = echarts.init(document.querySelector('.bar .chart'));
    var option = {
        color: ["#2f89cf"],
        grid: {
            left: "0%",
            top: "10px",
            right: "0%",
            bottom: "4%",
            containLabel: true
        },
        tooltip: {
            trigger: 'axis',
            axisPointer: {
                type: 'shadow'
            }
        },

        xAxis: [
            {
                type: 'category',
                data: ["旅游行业", "教育培训", "游戏行业", "医疗行业", "电商行业", "社交行业", "金融行业"],
                axisTick: {
                    alignWithLabel: true
                },
                axisLabel: {
                    color: 'rgba(255,255,255,.6)',
                    fontSize: '12'
                },
                axisLine: {
                    show: false
                }
            }
        ],
        yAxis: [
            {
                type: 'value',
                axisLabel: {
                    color: "rgba(255,255,255,.6)",
                    fontSize: "12"
                },
                // y轴线条样式
                axisLine: {
                    lineStyle: {
                        color: "rgba(255,255,255,.1)",
                        // width: 1,
                        // type: "solid"
                    }
                },
                // y 轴分隔线样式
                splitLine: {
                    lineStyle: {
                        color: "rgba(255,255,255,.1)"
                    }
                }
            }
        ],
        series: [
            {
                name: "条",
                barCategoryGap: 50,
                barWidth: 10,

                itemStyle: {
                    normal: {
                        barBorderRadius: 20,
                    }
                },
            },
            {
                name: "直接访问",
                type: "bar",
                // 修改柱子宽度
                barWidth: "35%",
                data: [200, 300, 300, 900, 1500, 1200, 600],
                itemStyle: {
                    // 修改柱子圆角
                    barBorderRadius: 5
                }
            }
        ]
    };
    myChart.setOption(option);
    window.addEventListener("resize", function () {
        myChart.resize();
    });
})();
(function () {
    var myChart = echarts.init(document.querySelector('.bar2 .chart'));
    option = {

        tooltip: {
            trigger: 'axis',
            axisPointer: {
                type: 'shadow'
            }
        },
        legend: {},
        grid: {
            top: "10%",
            left: "22%",
            bottom: "10%"
        },
        xAxis: {
            show: false
        },
        yAxis: {
            type: 'category',
            data: ['Brazil', 'Indonesia', 'USA', 'India', 'China', 'World'],
            axisLine: { show: false },
            axisLabel: {
                color: "#fff"
            },
        },
        series: [
            {
                name: '2011',
                type: 'bar',
                data: [18203, 23489, 29034, 104970, 131744, 630230]
            },
            {
                name: '2012',
                type: 'bar',
                data: [19325, 23438, 31000, 121594, 134141, 681807]
            }
        ]
    };
    myChart.setOption(option);
    window.addEventListener("resize", function () {
        myChart.resize();
    });
})();