Echart：前端很好的数据图表展现工具+demo

官网： http://echarts.baidu.com/index.html

通过一个简单的小Demo介绍echart的使用：demo均亲测可以运行

demo1：

1、新建一个echarts.html文件，为ECharts准备一个具备大小（宽高）的Dom。

<!DOCTYPE html>

<head>

    <meta charset="utf-8">

    <title>ECharts</title>

</head>

<body>

    <!-- 为ECharts准备一个具备大小（宽高）的Dom -->

    <div id="main" style="height:400px"></div>

</body>

2、新建<script>标签引入模块化单文件echarts.js

<!DOCTYPE html>

<head>

    <meta charset="utf-8">

    <title>ECharts</title>

</head>

<body>

    <!-- 为ECharts准备一个具备大小（宽高）的Dom -->

    <div id="main" style="height:400px"></div>

    <!-- ECharts单文件引入 -->

    <script src="http://echarts.baidu.com/build/dist/echarts.js"></script>

</body>

3、新建<script>标签中为模块加载器配置echarts和所需图表的路径（相对路径为从当前页面链接到echarts.js）

<!DOCTYPE html>

<head>

    <meta charset="utf-8">

    <title>ECharts</title>

</head>

<body>

    <!-- 为ECharts准备一个具备大小（宽高）的Dom -->

    <div id="main" style="height:400px"></div>

    <!-- ECharts单文件引入 -->

    <script src="http://echarts.baidu.com/build/dist/echarts.js"></script>

    <script type="text/javascript">

        // 路径配置

        require.config({

            paths: {

                echarts: 'http://echarts.baidu.com/build/dist'

            }

        });

    </script>

</body>

4、<script>标签内动态加载echarts和所需图表，回调函数中可以初始化图表并驱动图表的生成

<!DOCTYPE html>

<head>

    <meta charset="utf-8">

    <title>ECharts</title>

</head>

<body>

    <!-- 为ECharts准备一个具备大小（宽高）的Dom -->

    <div id="main" style="height:400px"></div>

    <!-- ECharts单文件引入 -->

    <script src="http://echarts.baidu.com/build/dist/echarts.js"></script>

    <script type="text/javascript">

        // 路径配置

        require.config({

            paths: {

                echarts: 'http://echarts.baidu.com/build/dist'

            }

        });

        // 使用

        require(

            [

                'echarts',

                'echarts/chart/bar' // 使用柱状图就加载bar模块，按需加载

            ],

            function (ec) {

                // 基于准备好的dom，初始化echarts图表

                var myChart = ec.init(document.getElementById('main')); 

                var option = {

                    tooltip: {

                        show: true

                    },

                    legend: {

                        data:['销量']

                    },

                    xAxis : [

                        {

                            type : 'category',

                            data : ["衬衫","羊毛衫","雪纺衫","裤子","高跟鞋","袜子"]

                        }

                    ],

                    yAxis : [

                        {

                            type : 'value'

                        }

                    ],

                    series : [

                        {

                            "name":"销量",

                            "type":"bar",

                            "data":[, , , , , ]

                        }

                    ]

                };

                // 为echarts对象加载数据

                myChart.setOption(option);

            }

        );

    </script>

</body>

5、浏览器中打开echarts.html，就可看到以下效果

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" alt="" />

如果需要不同形式的图标，只更换option就可以了。

demo2：展示了更换option的图标。

1.代码：

<!DOCTYPE html>

<head>

    <meta charset="utf-8">

    <title>ECharts</title>

</head>

<body>

    <!-- 为ECharts准备一个具备大小（宽高）的Dom -->

    <div id="main" style="height:400px"></div>

    <!-- ECharts单文件引入 -->

    <script src="http://echarts.baidu.com/build/dist/echarts.js"></script>

    <script type="text/javascript">

        // 路径配置

        require.config({

            paths: {

                echarts: 'http://echarts.baidu.com/build/dist'

            }

        });

        // 使用

        require(

            [

                'echarts',

                'echarts/chart/map' // 使用柱状图就加载bar模块，按需加载

            ],

            function (ec) {

                // 基于准备好的dom，初始化echarts图表

                var myChart = ec.init(document.getElementById('main')); 

                option = {

                    title : {

                        text: 'iphone销量',

                        subtext: '纯属虚构',

                        x:'center'

                    },

                    tooltip : {

                        trigger: 'item'

                    },

                    legend: {

                        orient: 'vertical',

                        x:'left',

                        data:['iphone3','iphone4','iphone5']

                    },

                    dataRange: {

                        min: ,

                        max: ,

                        x: 'left',

                        y: 'bottom',

                        text:['高','低'],           // 文本，默认为数值文本

                        calculable : true

                    },

                    toolbox: {

                        show: true,

                        orient : 'vertical',

                        x: 'right',

                        y: 'center',

                        feature : {

                            mark : {show: true},

                            dataView : {show: true, readOnly: false},

                            restore : {show: true},

                            saveAsImage : {show: true}

                        }

                    },

                    roamController: {

                        show: true,

                        x: 'right',

                        mapTypeControl: {

                            'china': true

                        }

                    },

                    series : [

                        {

                            name: 'iphone3',

                            type: 'map',

                            mapType: 'china',

                            roam: false,

                            itemStyle:{

                                normal:{label:{show:true}},

                                emphasis:{label:{show:true}}

                            },

                            data:[

                                {name: '北京',value: Math.round(Math.random()*)},

                                {name: '天津',value: Math.round(Math.random()*)},

                                {name: '上海',value: Math.round(Math.random()*)},

                                {name: '重庆',value: Math.round(Math.random()*)},

                                {name: '河北',value: Math.round(Math.random()*)},

                                {name: '河南',value: Math.round(Math.random()*)},

                                {name: '云南',value: Math.round(Math.random()*)},

                                {name: '辽宁',value: Math.round(Math.random()*)},

                                {name: '黑龙江',value: Math.round(Math.random()*)},

                                {name: '湖南',value: Math.round(Math.random()*)},

                                {name: '安徽',value: Math.round(Math.random()*)},

                                {name: '山东',value: Math.round(Math.random()*)},

                                {name: '*',value: Math.round(Math.random()*)},

                                {name: '江苏',value: Math.round(Math.random()*)},

                                {name: '浙江',value: Math.round(Math.random()*)},

                                {name: '江西',value: Math.round(Math.random()*)},

                                {name: '湖北',value: Math.round(Math.random()*)},

                                {name: '广西',value: Math.round(Math.random()*)},

                                {name: '甘肃',value: Math.round(Math.random()*)},

                                {name: '山西',value: Math.round(Math.random()*)},

                                {name: '内蒙古',value: Math.round(Math.random()*)},

                                {name: '陕西',value: Math.round(Math.random()*)},

                                {name: '吉林',value: Math.round(Math.random()*)},

                                {name: '福建',value: Math.round(Math.random()*)},

                                {name: '贵州',value: Math.round(Math.random()*)},

                                {name: '广东',value: Math.round(Math.random()*)},

                                {name: '青海',value: Math.round(Math.random()*)},

                                {name: '*',value: Math.round(Math.random()*)},

                                {name: '四川',value: Math.round(Math.random()*)},

                                {name: '宁夏',value: Math.round(Math.random()*)},

                                {name: '海南',value: Math.round(Math.random()*)},

                                {name: '*',value: Math.round(Math.random()*)},

                                {name: '香港',value: Math.round(Math.random()*)},

                                {name: '澳门',value: Math.round(Math.random()*)}

                            ]

                        },

                        {

                            name: 'iphone4',

                            type: 'map',

                            mapType: 'china',

                            itemStyle:{

                                normal:{label:{show:true}},

                                emphasis:{label:{show:true}}

                            },

                            data:[

                                {name: '北京',value: Math.round(Math.random()*)},

                                {name: '天津',value: Math.round(Math.random()*)},

                                {name: '上海',value: Math.round(Math.random()*)},

                                {name: '重庆',value: Math.round(Math.random()*)},

                                {name: '河北',value: Math.round(Math.random()*)},

                                {name: '安徽',value: Math.round(Math.random()*)},

                                {name: '*',value: Math.round(Math.random()*)},

                                {name: '浙江',value: Math.round(Math.random()*)},

                                {name: '江西',value: Math.round(Math.random()*)},

                                {name: '山西',value: Math.round(Math.random()*)},

                                {name: '内蒙古',value: Math.round(Math.random()*)},

                                {name: '吉林',value: Math.round(Math.random()*)},

                                {name: '福建',value: Math.round(Math.random()*)},

                                {name: '广东',value: Math.round(Math.random()*)},

                                {name: '*',value: Math.round(Math.random()*)},

                                {name: '四川',value: Math.round(Math.random()*)},

                                {name: '宁夏',value: Math.round(Math.random()*)},

                                {name: '香港',value: Math.round(Math.random()*)},

                                {name: '澳门',value: Math.round(Math.random()*)}

                            ]

                        },

                        {

                            name: 'iphone5',

                            type: 'map',

                            mapType: 'china',

                            itemStyle:{

                                normal:{label:{show:true}},

                                emphasis:{label:{show:true}}

                            },

                            data:[

                                {name: '北京',value: Math.round(Math.random()*)},

                                {name: '天津',value: Math.round(Math.random()*)},

                                {name: '上海',value: Math.round(Math.random()*)},

                                {name: '广东',value: Math.round(Math.random()*)},

                                {name: '*',value: Math.round(Math.random()*)},

                                {name: '香港',value: Math.round(Math.random()*)},

                                {name: '澳门',value: Math.round(Math.random()*)}

                            ]

                        }

                    ]

                };

                // 为echarts对象加载数据

                myChart.setOption(option);

            }

        );

    </script>

</body>

2.浏览器效果：

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" alt="" />

更多option，请参考官方文档：http://echarts.baidu.com/echarts2/doc/example.html

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Echart：前端很好的数据图表展现工具+demo

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