echarts的使用

官方教程

http://echarts.baidu.com/tutorial.html#5%20%E5%88%86%E9%92%9F%E4%B8%8A%E6%89%8B%20ECharts

引入 ECharts

ECharts 3 开始不再强制使用 AMD 的方式按需引入,代码里也不再内置 AMD 加载器。因此引入方式简单了很多,只需要像普通的 JavaScript 库一样用 script 标签引入。

echarts.min.js  一般只需要这个文件就足够了

可以在官网下载 http://echarts.baidu.com/download.html

也可以在githut上下载 https://github.com/ecomfe/echarts/tree/master/dist    这里包含了几乎全部的文件

词云库的js文件可以在githut上下载  https://github.com/ecomfe/echarts-wordcloud  

绘制一个简单的图表

在绘图前我们需要为 ECharts 准备一个具备高宽的 DOM 容器。

 

然后就可以通过 echarts.init 方法初始化一个 echarts 实例并通过 setOption 方法生成一个简单的柱状图,下面是完整代码。

<!DOCTYPE html>
<html>
<head>
    <meta charset="utf-8">
    <title>ECharts</title>
    <!-- 引入 echarts.js -->
    <script src="echarts.min.js"></script>
</head>
<body>
    <!-- 为ECharts准备一个具备大小(宽高)的Dom -->
    <div id="main" style=" 600px;height:400px;"></div>
    <script type="text/javascript">
        // 基于准备好的dom,初始化echarts实例
        var myChart = echarts.init(document.getElementById('main'));

        // 指定图表的配置项和数据
        var option = {
            title: {
                text: 'ECharts 入门示例'
            },
            tooltip: {},
            legend: {
                data:['销量']
            },
            xAxis: {
                data: ["衬衫","羊毛衫","雪纺衫","裤子","高跟鞋","袜子"]
            },
            yAxis: {},
            series: [{
                name: '销量',
                type: 'bar',
                data: [5, 20, 36, 10, 10, 20]
            }]
        };

        // 使用刚指定的配置项和数据显示图表。
        myChart.setOption(option);
    </script>
</body>
</html>
自己的示例
<!DOCTYPE html>
<html>
<head>
    <meta charset="utf-8">
    <title>ECharts</title>
    <script src="echarts.min.js"></script>
    <script src="echarts-wordcloud.min.js"></script>

</head>
<body>
    <div id="main" style="100%;height:400px;"></div>
    <script type="text/javascript">
        var myChart = echarts.init(document.getElementById('main'));
        var option = {
                    title:{
                        text:"中国",
                        link:'https://github.com/ecomfe/echarts-wordcloud',
                        sublink:'除去美国,中国',
                    },
                    tooltip: {},
                    series: [{
                        type: 'wordCloud',
                        gridSize: 20,
                        sizeRange: [12, 50],
                        rotationRange: [0, 0],
                        shape: 'circle',
                        textStyle: {
                            normal: {
                                color: function() {
                                    return 'rgb(' + [
                                        Math.round(Math.random() * 160),
                                        Math.round(Math.random() * 160),
                                        Math.round(Math.random() * 160)
                                    ].join(',') + ')';
                                }
                            },
                            emphasis: {
                                shadowBlur: 10,
                                shadowColor: '#333'
                            }
                        },
                        data: [{
                            name: '',
                            value: 500,
                            textStyle: {
                                normal: {
                                    color: 'black'
                                },
                                emphasis: {
                                    color: 'red'
                                }
                            }
                        },{"name": "apoptosis", "value": 261},{"name": "neural regeneration", "value": 260},{"name": "oxidative stress", "value": 139},{"name": "nerve regeneration", "value": 127},{"name": "neuroprotection", "value": 124},{"name": "autophagy", "value": 118},{"name": "hippocampus", "value": 112},{"name": "inflammation", "value": 96},{"name": "microglia", "value": 94},{"name": "aging", "value": 87},{"name": "neuroregeneration", "value": 82},{"name": "meta-analysis", "value": 79},{"name": "neurodegeneration", "value": 75},{"name": "polymorphism", "value": 69},{"name": "mild cognitive impairment", "value": 59},{"name": "grants-supported paper", "value": 57},{"name": "neuroinflammation", "value": 54},{"name": "cognitive impairment", "value": 53},{"name": "mitochondria", "value": 51},{"name": "microrna", "value": 51},{"name": "brain injury", "value": 50},{"name": "functional connectivity", "value": 50},{"name": "stroke", "value": 50},{"name": "cognition", "value": 49},{"name": "depression", "value": 48},{"name": "dementia", "value": 46},{"name": "parkinson's disease", "value": 136},{"name": "reactive oxygen species", "value": 43},{"name": "biomarker", "value": 42},{"name": "nsfc grant", "value": 40},{"name": "learning and memory", "value": 39},{"name": "neurogenesis", "value": 38},{"name": "neurodegenerative diseases", "value": 37},{"name": "traditional chinese medicine", "value": 36},{"name": "brain-derived neurotrophic factor", "value": 36},{"name": "astrocytes", "value": 34},{"name": "cerebral ischemia", "value": 34},{"name": "memory", "value": 34},{"name": "fmri", "value": 33},{"name": "nf-u03bab", "value": 33},{"name": "neurons", "value": 32},{"name": "diffusion tensor imaging", "value": 31},{"name": "diabetes", "value": 31},{"name": "functional magnetic resonance imaging", "value": 31},{"name": "cognitive function", "value": 30},{"name": "magnetic resonance imaging", "value": 30}
                        ]
                    }]
                    };

        myChart.setOption(option);
    </script>
</body>
</html>
问题:开始找错了echarts,

http://echarts.baidu.com/echarts2/doc/start.html    这是echarts2

目前的版本是echarts3

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后面还有关于异步的教程,ajax

原文地址:https://www.cnblogs.com/lovely7/p/7367496.html