vue3中引入echatrs详细步骤

【Echarts】在vue3中使用echarts绘散点图(待更新)_Morning_xx的博客-CSDN博客

vue3组件中单独引入echarts详细步骤:
【vue3】组件中使用引入echarts方法-CSDN博客

1、进入echarts官网

Apache ECharts

点击下载

2、滑到最下面、点击在线定制

3、选择打包图表后,点击【下载生成echarts.min.js文件

4、将下载后的echarts.min.js放到同级目录里面引入html

<!DOCTYPE html>
<html>

<head>
    <meta charset="utf-8" />
    <title>ECharts</title>
    <!-- 引入刚刚下载的 echarts.min.js -->
    <script src="./echarts.min.js"></script>
</head>

<body>
    <!-- 为 ECharts 准备一个定义宽高的 DOM -->
    <div id="main" style="width: 600px;height:400px;">
    </div>
    <script type="text/javascript">
    
    </script>
</body>

</html>

5、到官网一个案例,我找了一个散点图案例,下面是HTML源码

<!DOCTYPE html>
<html>

<head>
    <meta charset="utf-8" />
    <title>ECharts</title>
    <!-- 引入刚刚下载的 ECharts 文件 -->
    <script src="./echarts.min.js"></script>
</head>

<body>
    <!-- 为 ECharts 准备一个定义宽高的 DOM -->
    <div id="main" style="width: 600px;height:400px;">
    </div>
    <script type="text/javascript">
        var chartDom = document.getElementById('main');
        var myChart = echarts.init(chartDom);
        var option;

        const dataAll = [
            [
                [10.0, 8.04],
                [8.0, 6.95],
                [13.0, 7.58],
                [9.0, 8.81],
                [11.0, 8.33],
                [14.0, 9.96],
                [6.0, 7.24],
                [4.0, 4.26],
                [12.0, 10.84],
                [7.0, 4.82],
                [5.0, 5.68]
            ],
            [
                [10.0, 9.14],
                [8.0, 8.14],
                [13.0, 8.74],
                [9.0, 8.77],
                [11.0, 9.26],
                [14.0, 8.1],
                [6.0, 6.13],
                [4.0, 3.1],
                [12.0, 9.13],
                [7.0, 7.26],
                [5.0, 4.74]
            ],
            [
                [10.0, 7.46],
                [8.0, 6.77],
                [13.0, 12.74],
                [9.0, 7.11],
                [11.0, 7.81],
                [14.0, 8.84],
                [6.0, 6.08],
                [4.0, 5.39],
                [12.0, 8.15],
                [7.0, 6.42],
                [5.0, 5.73]
            ],
            [
                [8.0, 6.58],
                [8.0, 5.76],
                [8.0, 7.71],
                [8.0, 8.84],
                [8.0, 8.47],
                [8.0, 7.04],
                [8.0, 5.25],
                [19.0, 12.5],
                [8.0, 5.56],
                [8.0, 7.91],
                [8.0, 6.89]
            ]
        ];
        const markLineOpt = {
            animation: false,
            label: {
                formatter: 'y = 0.5 * x + 3',
                align: 'right'
            },
            lineStyle: {
                type: 'solid'
            },
            tooltip: {
                formatter: 'y = 0.5 * x + 3'
            },
            data: [
                [
                    {
                        coord: [0, 3],
                        symbol: 'none'
                    },
                    {
                        coord: [20, 13],
                        symbol: 'none'
                    }
                ]
            ]
        };
        option = {
            title: {
                text: "Anscombe's quartet",
                left: 'center',
                top: 0
            },
            grid: [
                { left: '7%', top: '7%', width: '38%', height: '38%' },
                { right: '7%', top: '7%', width: '38%', height: '38%' },
                { left: '7%', bottom: '7%', width: '38%', height: '38%' },
                { right: '7%', bottom: '7%', width: '38%', height: '38%' }
            ],
            tooltip: {
                formatter: 'Group {a}: ({c})'
            },
            xAxis: [
                { gridIndex: 0, min: 0, max: 20 },
                { gridIndex: 1, min: 0, max: 20 },
                { gridIndex: 2, min: 0, max: 20 },
                { gridIndex: 3, min: 0, max: 20 }
            ],
            yAxis: [
                { gridIndex: 0, min: 0, max: 15 },
                { gridIndex: 1, min: 0, max: 15 },
                { gridIndex: 2, min: 0, max: 15 },
                { gridIndex: 3, min: 0, max: 15 }
            ],
            series: [
                {
                    name: 'I',
                    type: 'scatter',
                    xAxisIndex: 0,
                    yAxisIndex: 0,
                    data: dataAll[0],
                    markLine: markLineOpt
                },
                {
                    name: 'II',
                    type: 'scatter',
                    xAxisIndex: 1,
                    yAxisIndex: 1,
                    data: dataAll[1],
                    markLine: markLineOpt
                },
                {
                    name: 'III',
                    type: 'scatter',
                    xAxisIndex: 2,
                    yAxisIndex: 2,
                    data: dataAll[2],
                    markLine: markLineOpt
                },
                {
                    name: 'IV',
                    type: 'scatter',
                    xAxisIndex: 3,
                    yAxisIndex: 3,
                    data: dataAll[3],
                    markLine: markLineOpt
                }
            ]
        };

        option &amp;&amp; myChart.setOption(option);
    </script>
</body>

</html>

生成效果

6.Echarts-基础配置

以下配置很重要:series xAxis yAxis grid tooltip title legend color

数据堆叠,同个类目轴上系列配置相同stack值后 后一个系列的值会在前一个系列的值上相加

如有帮助请不要吝啬你的赞哦~~~~!

原文地址:https://blog.csdn.net/m0_67986791/article/details/129383924

本文来自互联网用户投稿,该文观点仅代表作者本人,不代表本站立场。本站仅提供信息存储空间服务,不拥有所有权,不承担相关法律责任

如若转载,请注明出处:http://www.7code.cn/show_45084.html

如若内容造成侵权/违法违规/事实不符,请联系代码007邮箱suwngjj01@126.com进行投诉反馈,一经查实,立即删除

发表回复

您的邮箱地址不会被公开。 必填项已用 * 标注