可视化学习之百度echarts工具（2）
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- 柱状图与折线图学习事例
<!DOCTYPE html><html lang="en"><head> <meta charset="utf-8"> <title>高考2006-2014</title></head><body> <!--准备一个高为500px 宽为浏览器页面的大小的图标容器的, 也可以设为指定值 如:height:500px;width:800px; --> <div id="main" style="height:500px;border:1px solid #ccc;padding:10px;"></div> <!-- ECharts单文件引入 --> <script src="http://echarts.baidu.com/build/dist/echarts.js"></script> <script type="text/javascript"> // 为模块加载器配置echarts的路径，从当前页面链接到echarts.js，定义所需图表路径 //同时加载了地图map,方便后期使用 require.config({ paths:{ echarts: 'http://echarts.baidu.com/build/dist' } }); // 动态加载echarts然后在回调函数中开始使用，注意保持按需加载结构定义图表路径 require( [ 'echarts', 'echarts/chart/bar', 'echarts/chart/line', ], function (ec) { //图表渲染的容器对象 var myChart = ec.init(document.getElementById('main')); myChart.setOption({ //图表标题 title:{ text:"北京市历年高考报名人数", subtext:"数据来于新浪高考频道", //正标题属性设置 textStyle:{ fontSize:18 }, //副标题属性设置 subtextStyle:{ fontSize:12 } }, //数据提示框配置 tooltip : { trigger: 'axis' //触发类型，默认触发类型,可选项('item'|'axis')也就是是否共享提示框 }, //图例配置 legend: { //data:['报名人数','录取人数','报录比例'] //设置图例，每个图表最多仅有一个图例 orient: 'horizontal', // 'vertical' x: 'center', // 'center' | 'left' | {number}, y: 'top', // 'center' | 'bottom' | {number} backgroundColor: '#eee', //borderColor: 'rgba(178,34,34,0.8)', //rgb(0,0,0,0)为默认值 borderWidth: 4, padding: 10, // [5, 10, 15, 20] itemGap: 20, //textStyle: {color: 'red'}, selected: { '报名人数' : true, '录取人数' : true, '录取比例' : true }, data: [ { name:'录取比例', textStyle:{fontWeight:'bold', color:'green'} //修改每一个 }, '报名人数','录取人数' ] }, //工具箱配置 toolbox: { show : true, //是否显示工具箱 feature : { //特征 mark : {show: true}, //辅助线标志 dataView : {show: true, readOnly: false}, //数据视图 magicType : {show: true, type: ['line', 'bar']}, //图表类型切换 line:折线图 bar:柱状图 restore : {show: true}, //还原，复位原始图表 saveAsImage : {show: true} //保持文件，图片格式 } }, calculable : true, //X轴设置 xAxis : [ { type : 'category', name:'年份', data : ['2006','2007','2008','2009','2010','2011','2012','2013','2014'] } ], //Y轴设置 yAxis : [ { type : 'value', axisLabel:{ formatter:'{value} 万' }, //name:'人数', splitArea : {show : true} //分隔区域，默认不显示，属性show控制显示与否 }, //录取比例 { type:'value', name : '录取比例', axisLabel : { formatter: '{value} %' } } ], //图表Series数据序列配置 series : [ { name:'报名人数', type:'bar', //与横坐标对应 2006、2007、...、2014 data:[10.03, 10.99, 10.37, 10.10, 8.10, 7.60, 7.30, 7.27, 7.05], //系列中的数据标注内容 series.markPoint markPoint:{ data:[ {type:'max',name:'最大值'}, {type:'min',name:'最小值'} ] }, //系列中的数据标线内容 series.markLine markLine:{ data:[ {type:'average',name:'平均值'} ] } }, { name:'录取人数', type:'bar', //2014年录取人数还未出来 data:[8.00, 8.09, 8.98, 8.03, 6.79, 6.54, 5.88, 5.88, ], markPoint:{ data:[ {type:'max',name:'最大值'}, {type:'min',name:'最小值'} ] }, markLine:{ data:[ {type:'average',name:'平均值'} ] } }, { name:'录取比例', type:'line', yAxisIndex: 1, data:[72.53,73.61,86.59,79.51,83.83,86.05,80.55,80.88], markLine:{ data:[ {type:'average',name:'平均值'} ] } } ] }); } ); </script></body></html>效果如下：
-多重折线图学习事例
<!DOCTYPE html><html lang="en"><head> <meta charset="utf-8"> <title>高考2006-2014</title></head><body> <!--准备一个高为500px 宽为浏览器页面的大小的图标容器的, 也可以设为指定值 如:height:500px;width:800px; --> <div id="main" style="height:500px;border:1px solid #ccc;padding:10px;"></div> <!-- ECharts单文件引入 --> <script src="http://echarts.baidu.com/build/dist/echarts.js"></script> <script type="text/javascript"> // 为模块加载器配置echarts的路径，从当前页面链接到echarts.js，定义所需图表路径 //同时加载了地图map,方便后期使用 require.config({ paths:{ echarts: 'http://echarts.baidu.com/build/dist' } }); // 动态加载echarts然后在回调函数中开始使用，注意保持按需加载结构定义图表路径 require( [ 'echarts', 'echarts/chart/line', ], function (ec) { //图表渲染的容器对象 var myChart = ec.init(document.getElementById('main')); myChart.setOption({ //图表标题 title:{ text:"北京市历年高考报名人数", subtext:"数据来于新浪高考频道", //正标题属性设置 textStyle:{ fontSize:18 }, //副标题属性设置 subtextStyle:{ fontSize:12 } }, //数据提示框配置 tooltip : { trigger: 'axis' //触发类型，默认触发类型,可选项('item'|'axis')也就是是否共享提示框 }, //图例配置 legend: { //data:['报名人数','录取人数','报录比例'] //设置图例，每个图表最多仅有一个图例 orient: 'horizontal', // 'vertical' x: 'center', // 'center' | 'left' | {number}, y: 'top', // 'center' | 'bottom' | {number} backgroundColor: '#eee', //borderColor: 'rgba(178,34,34,0.8)', //rgb(0,0,0,0)为默认值 borderWidth: 4, padding: 10, // [5, 10, 15, 20] itemGap: 20, //textStyle: {color: 'red'}, selected: { '报名人数' : true, '录取人数' : true, '录取比例' : true }, data: [ { name:'录取比例', textStyle:{fontWeight:'bold', color:'green'} //修改每一个 }, '报名人数','录取人数' ] }, //工具箱配置 toolbox: { show : true, //是否显示工具箱 feature : { //特征 mark : {show: true}, //辅助线标志 dataView : {show: true, readOnly: false}, //数据视图 magicType : {show: true, type: ['line', 'bar']}, //图表类型切换 line:折线图 bar:柱状图 restore : {show: true}, //还原，复位原始图表 saveAsImage : {show: true} //保持文件，图片格式 } }, calculable : true, //X轴设置 xAxis : [ { type : 'category', name:'年份', data : ['2006','2007','2008','2009','2010','2011','2012','2013','2014'] } ], //Y轴设置 yAxis : [ { type : 'value', axisLabel:{ formatter:'{value} 万' }, //name:'人数', splitArea : {show : true} //分隔区域，默认不显示，属性show控制显示与否 }, //录取比例 { type:'value', name : '录取比例', axisLabel : { formatter: '{value} %' } } ], //图表Series数据序列配置 series : [ { name:'报名人数', type:'line', //与横坐标对应 2006、2007、...、2014 data:[10.03, 10.99, 10.37, 10.10, 8.10, 7.60, 7.30, 7.27, 7.05], //系列中的数据标注内容 series.markPoint markPoint:{ data:[ {type:'max',name:'最大值'}, {type:'min',name:'最小值'} ] }, //系列中的数据标线内容 series.markLine markLine:{ data:[ {type:'average',name:'平均值'} ] } }, { name:'录取人数', type:'line', //2014年录取人数还未出来 data:[8.00, 8.09, 8.98, 8.03, 6.79, 6.54, 5.88, 5.88, ], markPoint:{ data:[ {type:'max',name:'最大值'}, {type:'min',name:'最小值'} ] }, markLine:{ data:[ {type:'average',name:'平均值'} ] } }, { name:'录取比例', type:'line', yAxisIndex: 1, data:[72.53,73.61,86.59,79.51,83.83,86.05,80.55,80.88], markLine:{ data:[ {type:'average',name:'平均值'} ] } } ] }); } ); </script></body></html>效果如下：
-地图事例学习
（1）
<!DOCTYPE html><html lang="en"><head> <meta charset="utf-8"> <title>中国地图</title></head><body> <!--准备一个高为500px 宽为浏览器页面的大小的图标容器的, 也可以设为指定值 如:height:500px;width:800px; --> <div id="mainMap" style="height:500px;border:1px solid #ccc;padding:10px;"></div> <!-- ECharts单文件引入 --> <script src="http://echarts.baidu.com/build/dist/echarts.js"></script> <script type="text/javascript"> // 为模块加载器配置echarts的路径，从当前页面链接到echarts.js，定义所需图表路径 //同时加载了地图map,方便后期使用 require.config({ paths:{ echarts: 'http://echarts.baidu.com/build/dist' } }); // 动态加载echarts然后在回调函数中开始使用，注意保持按需加载结构定义图表路径 require( [ 'echarts', 'echarts/chart/bar', 'echarts/chart/line', 'echarts/chart/map', ], function (ec) { // --- 地图 --- var myChart2 = ec.init(document.getElementById('mainMap')); myChart2.setOption({ tooltip : { trigger: 'item', formatter: '{b}' }, series : [ { name: '中国', type: 'map', mapType: 'china', selectedMode : 'multiple', itemStyle:{ normal:{label:{show:true}}, emphasis:{label:{show:true}} }, data:[ {name:'广东',selected:true} ] } ] }); } ); </script></body></html>效果如下： 
（2）
<!DOCTYPE html><html lang="en"><head> <meta charset="utf-8"> <title>全国城市质量图</title></head><body> <!--准备一个高为500px 宽为浏览器页面的大小的图标容器的, 也可以设为指定值 如:height:500px;width:800px; --> <div id="mainMap" style="height:500px;border:1px solid #ccc;padding:10px;"></div> <!-- ECharts单文件引入 --> <script src="http://echarts.baidu.com/build/dist/echarts.js"></script> <script type="text/javascript"> // 为模块加载器配置echarts的路径，从当前页面链接到echarts.js，定义所需图表路径 //同时加载了地图map,方便后期使用 require.config({ paths:{ echarts: 'http://echarts.baidu.com/build/dist' } }); // 动态加载echarts然后在回调函数中开始使用，注意保持按需加载结构定义图表路径 require( [ 'echarts', 'echarts/chart/map', ], function (ec) { // --- 地图 --- var myChart2 = ec.init(document.getElementById('mainMap')); myChart2.setOption({ title : { text: '全国主要城市空气质量（pm2.5）', subtext: 'data from PM25.in', sublink: 'http://www.pm25.in', x:'center' }, tooltip : { trigger: 'item' }, legend: { orient: 'vertical', x:'left', data:['pm2.5'] }, dataRange: { min : 0, max : 500, calculable : true, color: ['maroon','purple','red','orange','yellow','lightgreen'] }, toolbox: { show : true, orient : 'vertical', x: 'right', y: 'center', feature : { mark : {show: true}, dataView : {show: true, readOnly: false}, restore : {show: true}, saveAsImage : {show: true} } }, series : [ { name: 'pm2.5', type: 'map', mapType: 'china', hoverable: false, roam:true, data : [], markPoint : { symbolSize: 5, // 标注大小，半宽（半径）参数，当图形为方向或菱形则总宽度为symbolSize * 2 itemStyle: { normal: { borderColor: '#87cefa', borderWidth: 1, // 标注边线线宽，单位px，默认为1 label: { show: false } }, emphasis: { borderColor: '#1e90ff', borderWidth: 5, label: { show: false } } }, data : [ {name: "海门", value: 9}, {name: "鄂尔多斯", value: 12}, {name: "招远", value: 12}, {name: "舟山", value: 12}, {name: "齐齐哈尔", value: 14}, {name: "盐城", value: 15}, {name: "赤峰", value: 16}, {name: "青岛", value: 18}, {name: "乳山", value: 18}, {name: "金昌", value: 19}, {name: "泉州", value: 21}, {name: "莱西", value: 21}, {name: "日照", value: 21}, {name: "胶南", value: 22}, {name: "南通", value: 23}, {name: "拉萨", value: 24}, {name: "云浮", value: 24}, {name: "梅州", value: 25}, {name: "文登", value: 25}, {name: "上海", value: 25}, {name: "攀枝花", value: 25}, {name: "威海", value: 25}, {name: "承德", value: 25}, {name: "厦门", value: 26}, {name: "汕尾", value: 26}, {name: "潮州", value: 26}, {name: "丹东", value: 27}, {name: "太仓", value: 27}, {name: "曲靖", value: 27}, {name: "烟台", value: 28}, {name: "福州", value: 29}, {name: "瓦房店", value: 30}, {name: "即墨", value: 30}, {name: "抚顺", value: 31}, {name: "玉溪", value: 31}, {name: "张家口", value: 31}, {name: "阳泉", value: 31}, {name: "莱州", value: 32}, {name: "湖州", value: 32}, {name: "汕头", value: 32}, {name: "昆山", value: 33}, {name: "宁波", value: 33}, {name: "湛江", value: 33}, {name: "揭阳", value: 34}, {name: "荣成", value: 34}, {name: "连云港", value: 35}, {name: "葫芦岛", value: 35}, {name: "常熟", value: 36}, {name: "东莞", value: 36}, {name: "河源", value: 36}, {name: "淮安", value: 36}, {name: "泰州", value: 36}, {name: "南宁", value: 37}, {name: "营口", value: 37}, {name: "惠州", value: 37}, {name: "江阴", value: 37}, {name: "蓬莱", value: 37}, {name: "韶关", value: 38}, {name: "嘉峪关", value: 38}, {name: "广州", value: 38}, {name: "延安", value: 38}, {name: "太原", value: 39}, {name: "清远", value: 39}, {name: "中山", value: 39}, {name: "昆明", value: 39}, {name: "寿光", value: 40}, {name: "盘锦", value: 40}, {name: "长治", value: 41}, {name: "深圳", value: 41}, {name: "珠海", value: 42}, {name: "宿迁", value: 43}, {name: "咸阳", value: 43}, {name: "铜川", value: 44}, {name: "平度", value: 44}, {name: "佛山", value: 44}, {name: "海口", value: 44}, {name: "江门", value: 45}, {name: "章丘", value: 45}, {name: "肇庆", value: 46}, {name: "大连", value: 47}, {name: "临汾", value: 47}, {name: "吴江", value: 47}, {name: "石嘴山", value: 49}, {name: "沈阳", value: 50}, {name: "苏州", value: 50}, {name: "茂名", value: 50}, {name: "嘉兴", value: 51}, {name: "长春", value: 51}, {name: "胶州", value: 52}, {name: "银川", value: 52}, {name: "张家港", value: 52}, {name: "三门峡", value: 53}, {name: "锦州", value: 54}, {name: "南昌", value: 54}, {name: "柳州", value: 54}, {name: "三亚", value: 54}, {name: "自贡", value: 56}, {name: "吉林", value: 56}, {name: "阳江", value: 57}, {name: "泸州", value: 57}, {name: "西宁", value: 57}, {name: "宜宾", value: 58}, {name: "呼和浩特", value: 58}, {name: "成都", value: 58}, {name: "大同", value: 58}, {name: "镇江", value: 59}, {name: "桂林", value: 59}, {name: "张家界", value: 59}, {name: "宜兴", value: 59}, {name: "北海", value: 60}, {name: "西安", value: 61}, {name: "金坛", value: 62}, {name: "东营", value: 62}, {name: "牡丹江", value: 63}, {name: "遵义", value: 63}, {name: "绍兴", value: 63}, {name: "扬州", value: 64}, {name: "常州", value: 64}, {name: "潍坊", value: 65}, {name: "重庆", value: 66}, {name: "台州", value: 67}, {name: "南京", value: 67}, {name: "滨州", value: 70}, {name: "贵阳", value: 71}, {name: "无锡", value: 71}, {name: "本溪", value: 71}, {name: "克拉玛依", value: 72}, {name: "渭南", value: 72}, {name: "马鞍山", value: 72}, {name: "宝鸡", value: 72}, {name: "焦作", value: 75}, {name: "句容", value: 75}, {name: "北京", value: 79}, {name: "徐州", value: 79}, {name: "衡水", value: 80}, {name: "包头", value: 80}, {name: "绵阳", value: 80}, {name: "乌鲁木齐", value: 84}, {name: "枣庄", value: 84}, {name: "杭州", value: 84}, {name: "淄博", value: 85}, {name: "鞍山", value: 86}, {name: "溧阳", value: 86}, {name: "库尔勒", value: 86}, {name: "安阳", value: 90}, {name: "开封", value: 90}, {name: "济南", value: 92}, {name: "德阳", value: 93}, {name: "温州", value: 95}, {name: "九江", value: 96}, {name: "邯郸", value: 98}, {name: "临安", value: 99}, {name: "兰州", value: 99}, {name: "沧州", value: 100}, {name: "临沂", value: 103}, {name: "南充", value: 104}, {name: "天津", value: 105}, {name: "富阳", value: 106}, {name: "泰安", value: 112}, {name: "诸暨", value: 112}, {name: "郑州", value: 113}, {name: "哈尔滨", value: 114}, {name: "聊城", value: 116}, {name: "芜湖", value: 117}, {name: "唐山", value: 119}, {name: "平顶山", value: 119}, {name: "邢台", value: 119}, {name: "德州", value: 120}, {name: "济宁", value: 120}, {name: "荆州", value: 127}, {name: "宜昌", value: 130}, {name: "义乌", value: 132}, {name: "丽水", value: 133}, {name: "洛阳", value: 134}, {name: "秦皇岛", value: 136}, {name: "株洲", value: 143}, {name: "石家庄", value: 147}, {name: "莱芜", value: 148}, {name: "常德", value: 152}, {name: "保定", value: 153}, {name: "湘潭", value: 154}, {name: "金华", value: 157}, {name: "岳阳", value: 169}, {name: "长沙", value: 175}, {name: "衢州", value: 177}, {name: "廊坊", value: 193}, {name: "菏泽", value: 194}, {name: "合肥", value: 229}, {name: "武汉", value: 273}, {name: "大庆", value: 279} ] }, geoCoord: { "海门":[121.15,31.89], "鄂尔多斯":[109.781327,39.608266], "招远":[120.38,37.35], "舟山":[122.207216,29.985295], "齐齐哈尔":[123.97,47.33], "盐城":[120.13,33.38], "赤峰":[118.87,42.28], "青岛":[120.33,36.07], "乳山":[121.52,36.89], "金昌":[102.188043,38.520089], "泉州":[118.58,24.93], "莱西":[120.53,36.86], "日照":[119.46,35.42], "胶南":[119.97,35.88], "南通":[121.05,32.08], "拉萨":[91.11,29.97], "云浮":[112.02,22.93], "梅州":[116.1,24.55], "文登":[122.05,37.2], "上海":[121.48,31.22], "攀枝花":[101.718637,26.582347], "威海":[122.1,37.5], "承德":[117.93,40.97], "厦门":[118.1,24.46], "汕尾":[115.375279,22.786211], "潮州":[116.63,23.68], "丹东":[124.37,40.13], "太仓":[121.1,31.45], "曲靖":[103.79,25.51], "烟台":[121.39,37.52], "福州":[119.3,26.08], "瓦房店":[121.979603,39.627114], "即墨":[120.45,36.38], "抚顺":[123.97,41.97], "玉溪":[102.52,24.35], "张家口":[114.87,40.82], "阳泉":[113.57,37.85], "莱州":[119.942327,37.177017], "湖州":[120.1,30.86], "汕头":[116.69,23.39], "昆山":[120.95,31.39], "宁波":[121.56,29.86], "湛江":[110.359377,21.270708], "揭阳":[116.35,23.55], "荣成":[122.41,37.16], "连云港":[119.16,34.59], "葫芦岛":[120.836932,40.711052], "常熟":[120.74,31.64], "东莞":[113.75,23.04], "河源":[114.68,23.73], "淮安":[119.15,33.5], "泰州":[119.9,32.49], "南宁":[108.33,22.84], "营口":[122.18,40.65], "惠州":[114.4,23.09], "江阴":[120.26,31.91], "蓬莱":[120.75,37.8], "韶关":[113.62,24.84], "嘉峪关":[98.289152,39.77313], "广州":[113.23,23.16], "延安":[109.47,36.6], "太原":[112.53,37.87], "清远":[113.01,23.7], "中山":[113.38,22.52], "昆明":[102.73,25.04], "寿光":[118.73,36.86], "盘锦":[122.070714,41.119997], "长治":[113.08,36.18], "深圳":[114.07,22.62], "珠海":[113.52,22.3], "宿迁":[118.3,33.96], "咸阳":[108.72,34.36], "铜川":[109.11,35.09], "平度":[119.97,36.77], "佛山":[113.11,23.05], "海口":[110.35,20.02], "江门":[113.06,22.61], "章丘":[117.53,36.72], "肇庆":[112.44,23.05], "大连":[121.62,38.92], "临汾":[111.5,36.08], "吴江":[120.63,31.16], "石嘴山":[106.39,39.04], "沈阳":[123.38,41.8], "苏州":[120.62,31.32], "茂名":[110.88,21.68], "嘉兴":[120.76,30.77], "长春":[125.35,43.88], "胶州":[120.03336,36.264622], "银川":[106.27,38.47], "张家港":[120.555821,31.875428], "三门峡":[111.19,34.76], "锦州":[121.15,41.13], "南昌":[115.89,28.68], "柳州":[109.4,24.33], "三亚":[109.511909,18.252847], "自贡":[104.778442,29.33903], "吉林":[126.57,43.87], "阳江":[111.95,21.85], "泸州":[105.39,28.91], "西宁":[101.74,36.56], "宜宾":[104.56,29.77], "呼和浩特":[111.65,40.82], "成都":[104.06,30.67], "大同":[113.3,40.12], "镇江":[119.44,32.2], "桂林":[110.28,25.29], "张家界":[110.479191,29.117096], "宜兴":[119.82,31.36], "北海":[109.12,21.49], "西安":[108.95,34.27], "金坛":[119.56,31.74], "东营":[118.49,37.46], "牡丹江":[129.58,44.6], "遵义":[106.9,27.7], "绍兴":[120.58,30.01], "扬州":[119.42,32.39], "常州":[119.95,31.79], "潍坊":[119.1,36.62], "重庆":[106.54,29.59], "台州":[121.420757,28.656386], "南京":[118.78,32.04], "滨州":[118.03,37.36], "贵阳":[106.71,26.57], "无锡":[120.29,31.59], "本溪":[123.73,41.3], "克拉玛依":[84.77,45.59], "渭南":[109.5,34.52], "马鞍山":[118.48,31.56], "宝鸡":[107.15,34.38], "焦作":[113.21,35.24], "句容":[119.16,31.95], "北京":[116.46,39.92], "徐州":[117.2,34.26], "衡水":[115.72,37.72], "包头":[110,40.58], "绵阳":[104.73,31.48], "乌鲁木齐":[87.68,43.77], "枣庄":[117.57,34.86], "杭州":[120.19,30.26], "淄博":[118.05,36.78], "鞍山":[122.85,41.12], "溧阳":[119.48,31.43], "库尔勒":[86.06,41.68], "安阳":[114.35,36.1], "开封":[114.35,34.79], "济南":[117,36.65], "德阳":[104.37,31.13], "温州":[120.65,28.01], "九江":[115.97,29.71], "邯郸":[114.47,36.6], "临安":[119.72,30.23], "兰州":[103.73,36.03], "沧州":[116.83,38.33], "临沂":[118.35,35.05], "南充":[106.110698,30.837793], "天津":[117.2,39.13], "富阳":[119.95,30.07], "泰安":[117.13,36.18], "诸暨":[120.23,29.71], "郑州":[113.65,34.76], "哈尔滨":[126.63,45.75], "聊城":[115.97,36.45], "芜湖":[118.38,31.33], "唐山":[118.02,39.63], "平顶山":[113.29,33.75], "邢台":[114.48,37.05], "德州":[116.29,37.45], "济宁":[116.59,35.38], "荆州":[112.239741,30.335165], "宜昌":[111.3,30.7], "义乌":[120.06,29.32], "丽水":[119.92,28.45], "洛阳":[112.44,34.7], "秦皇岛":[119.57,39.95], "株洲":[113.16,27.83], "石家庄":[114.48,38.03], "莱芜":[117.67,36.19], "常德":[111.69,29.05], "保定":[115.48,38.85], "湘潭":[112.91,27.87], "金华":[119.64,29.12], "岳阳":[113.09,29.37], "长沙":[113,28.21], "衢州":[118.88,28.97], "廊坊":[116.7,39.53], "菏泽":[115.480656,35.23375], "合肥":[117.27,31.86], "武汉":[114.31,30.52], "大庆":[125.03,46.58] } }, { name: 'Top5', type: 'map', mapType: 'china', data:[], markPoint : { symbol:'emptyCircle', symbolSize : function (v){ return 10 + v/100 }, effect : { show: true, shadowBlur : 0 }, itemStyle:{ normal:{ label:{show:false} } }, data : [ {name: "廊坊", value: 193}, {name: "菏泽", value: 194}, {name: "合肥", value: 229}, {name: "武汉", value: 273}, {name: "大庆", value: 279} ] } } ] }); } ); </script></body></html>效果如下：
- k线图学习事例
<html><!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/k' //使用k线图 ], function (ec) { // 基于准备好的dom，初始化echarts图表 var myChart = ec.init(document.getElementById('main')); var option = { title : { text: '2013年上半年上证指数' }, tooltip : { trigger: 'axis', formatter: function (params) { var res = params[0].seriesName + ' ' + params[0].name; res += '<br/> 开盘 : ' + params[0].value[0] + ' 最高 : ' + params[0].value[3]; res += '<br/> 收盘 : ' + params[0].value[1] + ' 最低 : ' + params[0].value[2]; return res; } }, legend: { data:['上证指数'] }, toolbox: { show : true, feature : { mark : {show: true}, dataZoom : {show: true}, dataView : {show: true, readOnly: false}, magicType: {show: true, type: ['line', 'bar']}, restore : {show: true}, saveAsImage : {show: true} } }, dataZoom : { show : true, realtime: true, start : 50, end : 100 }, xAxis : [ { type : 'category', boundaryGap : true, axisTick: {onGap:false}, splitLine: {show:false}, data : [ "2013/1/24", "2013/1/25", "2013/1/28", "2013/1/29", "2013/1/30", "2013/1/31", "2013/2/1", "2013/2/4", "2013/2/5", "2013/2/6", "2013/2/7", "2013/2/8", "2013/2/18", "2013/2/19", "2013/2/20", "2013/2/21", "2013/2/22", "2013/2/25", "2013/2/26", "2013/2/27", "2013/2/28", "2013/3/1", "2013/3/4", "2013/3/5", "2013/3/6", "2013/3/7", "2013/3/8", "2013/3/11", "2013/3/12", "2013/3/13", "2013/3/14", "2013/3/15", "2013/3/18", "2013/3/19", "2013/3/20", "2013/3/21", "2013/3/22", "2013/3/25", "2013/3/26", "2013/3/27", "2013/3/28", "2013/3/29", "2013/4/1", "2013/4/2", "2013/4/3", "2013/4/8", "2013/4/9", "2013/4/10", "2013/4/11", "2013/4/12", "2013/4/15", "2013/4/16", "2013/4/17", "2013/4/18", "2013/4/19", "2013/4/22", "2013/4/23", "2013/4/24", "2013/4/25", "2013/4/26", "2013/5/2", "2013/5/3", "2013/5/6", "2013/5/7", "2013/5/8", "2013/5/9", "2013/5/10", "2013/5/13", "2013/5/14", "2013/5/15", "2013/5/16", "2013/5/17", "2013/5/20", "2013/5/21", "2013/5/22", "2013/5/23", "2013/5/24", "2013/5/27", "2013/5/28", "2013/5/29", "2013/5/30", "2013/5/31", "2013/6/3", "2013/6/4", "2013/6/5", "2013/6/6", "2013/6/7", "2013/6/13" ] } ], yAxis : [ { type : 'value', scale:true, boundaryGap: [0.01, 0.01] } ], series : [ { name:'上证指数', type:'k', data:[ // 开盘，收盘，最低，最高 [2320.26,2302.6,2287.3,2362.94], [2300,2291.3,2288.26,2308.38], [2295.35,2346.5,2295.35,2346.92], [2347.22,2358.98,2337.35,2363.8], [2360.75,2382.48,2347.89,2383.76], [2383.43,2385.42,2371.23,2391.82], [2377.41,2419.02,2369.57,2421.15], [2425.92,2428.15,2417.58,2440.38], [2411,2433.13,2403.3,2437.42], [2432.68,2434.48,2427.7,2441.73], [2430.69,2418.53,2394.22,2433.89], [2416.62,2432.4,2414.4,2443.03], [2441.91,2421.56,2415.43,2444.8], [2420.26,2382.91,2373.53,2427.07], [2383.49,2397.18,2370.61,2397.94], [2378.82,2325.95,2309.17,2378.82], [2322.94,2314.16,2308.76,2330.88], [2320.62,2325.82,2315.01,2338.78], [2313.74,2293.34,2289.89,2340.71], [2297.77,2313.22,2292.03,2324.63], [2322.32,2365.59,2308.92,2366.16], [2364.54,2359.51,2330.86,2369.65], [2332.08,2273.4,2259.25,2333.54], [2274.81,2326.31,2270.1,2328.14], [2333.61,2347.18,2321.6,2351.44], [2340.44,2324.29,2304.27,2352.02], [2326.42,2318.61,2314.59,2333.67], [2314.68,2310.59,2296.58,2320.96], [2309.16,2286.6,2264.83,2333.29], [2282.17,2263.97,2253.25,2286.33], [2255.77,2270.28,2253.31,2276.22], [2269.31,2278.4,2250,2312.08], [2267.29,2240.02,2239.21,2276.05], [2244.26,2257.43,2232.02,2261.31], [2257.74,2317.37,2257.42,2317.86], [2318.21,2324.24,2311.6,2330.81], [2321.4,2328.28,2314.97,2332], [2334.74,2326.72,2319.91,2344.89], [2318.58,2297.67,2281.12,2319.99], [2299.38,2301.26,2289,2323.48], [2273.55,2236.3,2232.91,2273.55], [2238.49,2236.62,2228.81,2246.87], [2229.46,2234.4,2227.31,2243.95], [2234.9,2227.74,2220.44,2253.42], [2232.69,2225.29,2217.25,2241.34], [2196.24,2211.59,2180.67,2212.59], [2215.47,2225.77,2215.47,2234.73], [2224.93,2226.13,2212.56,2233.04], [2236.98,2219.55,2217.26,2242.48], [2218.09,2206.78,2204.44,2226.26], [2199.91,2181.94,2177.39,2204.99], [2169.63,2194.85,2165.78,2196.43], [2195.03,2193.8,2178.47,2197.51], [2181.82,2197.6,2175.44,2206.03], [2201.12,2244.64,2200.58,2250.11], [2236.4,2242.17,2232.26,2245.12], [2242.62,2184.54,2182.81,2242.62], [2187.35,2218.32,2184.11,2226.12], [2213.19,2199.31,2191.85,2224.63], [2203.89,2177.91,2173.86,2210.58], [2170.78,2174.12,2161.14,2179.65], [2179.05,2205.5,2179.05,2222.81], [2212.5,2231.17,2212.5,2236.07], [2227.86,2235.57,2219.44,2240.26], [2242.39,2246.3,2235.42,2255.21], [2246.96,2232.97,2221.38,2247.86], [2228.82,2246.83,2225.81,2247.67], [2247.68,2241.92,2231.36,2250.85], [2238.9,2217.01,2205.87,2239.93], [2217.09,2224.8,2213.58,2225.19], [2221.34,2251.81,2210.77,2252.87], [2249.81,2282.87,2248.41,2288.09], [2286.33,2299.99,2281.9,2309.39], [2297.11,2305.11,2290.12,2305.3], [2303.75,2302.4,2292.43,2314.18], [2293.81,2275.67,2274.1,2304.95], [2281.45,2288.53,2270.25,2292.59], [2286.66,2293.08,2283.94,2301.7], [2293.4,2321.32,2281.47,2322.1], [2323.54,2324.02,2321.17,2334.33], [2316.25,2317.75,2310.49,2325.72], [2320.74,2300.59,2299.37,2325.53], [2300.21,2299.25,2294.11,2313.43], [2297.1,2272.42,2264.76,2297.1], [2270.71,2270.93,2260.87,2276.86], [2264.43,2242.11,2240.07,2266.69], [2242.26,2210.9,2205.07,2250.63], [2190.1,2148.35,2126.22,2190.1] ] } ]}; // 为echarts对象加载数据 myChart.setOption(option); } ); </script></body></html>效果如下：
0 0
- 可视化学习之百度echarts工具（2）
- 可视化学习之百度echarts工具（1）
- 大数据可视化工具Echarts（2）初始化
- 百度开源的数据可视化工具eCharts真心不错
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- CSDN开源夏令营 百度数据可视化实践 ECharts（2）
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- CSDN开源夏令营 百度数据可视化实践 ECharts（3）
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- CSDN开源夏令营 百度数据可视化实践 ECharts（6） 期中总结
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