关键词:
1、
以上是实现的效果
下边是实现的代码,上一篇地图没有颜色,是因为没有引入zrender包,因为echarts画地图是基于zrender实现的
<!DOCTYPE html> <html> <header> <meta charset="utf-8"> <!-- 引入 ECharts 文件 --> <script src="jquery-1.7.2.min.js"></script> <script src="echarts.js"></script> <script src="china.js"></script> </header> <body> <!-- 为 ECharts 准备一个具备大小(宽高)的 DOM --> <div id="main" style="width: 600px;height:400px;"></div> <script type="text/javascript"> var geoCoordMap = { "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] }; var convertData = function (data) { var res = []; for (var i = 0; i < data.length; i++) { var geoCoord = geoCoordMap[data[i].name]; if (geoCoord) { res.push({ name: data[i].name, value: geoCoord.concat(data[i].value) }); } } return res; }; option = { backgroundColor: ‘#404a59‘, title: { text: ‘全国主要城市空气质量‘, subtext: ‘data from PM25.in‘, sublink: ‘http://www.pm25.in‘, x:‘center‘, textStyle: { color: ‘#fff‘ } }, tooltip: { trigger: ‘item‘, formatter: function (params) { return params.name + ‘ : ‘ + params.value[2]; } }, legend: { orient: ‘vertical‘, y: ‘bottom‘, x:‘right‘, data:[‘pm2.5‘], textStyle: { color: ‘#fff‘ } }, visualMap: { min: 0, max: 200, calculable: true, inRange: { color: [‘#50a3ba‘, ‘#eac736‘, ‘#d94e5d‘] }, textStyle: { color: ‘#fff‘ } }, geo: { map: ‘china‘, label: { emphasis: { show: false } }, itemStyle: { normal: { areaColor: ‘#323c48‘, borderColor: ‘#111‘ }, emphasis: { areaColor: ‘#2a333d‘ } } }, series: [ { name: ‘pm2.5‘, type: ‘scatter‘, coordinateSystem: ‘geo‘, data: convertData([ {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} ]), symbolSize: 12, label: { normal: { show: false }, emphasis: { show: false } }, itemStyle: { emphasis: { borderColor: ‘#fff‘, borderWidth: 1 } } } ] } /*var option={"polar": [{"center": ["50%","50%"],"radius": [200,250],"startAngle": 30,"type": "polygon","data": [10,20,30,40,50]}]};*/ var myChart = echarts.init(document.getElementById(‘main‘)); // 基于准备好的dom,初始化echarts实例 /*var option = { "calculable": true, "toolbox": { "feature": { "mark": { "show": true, "title": { "mark": "辅助线开关", "markClear": "清空辅助线", "markUndo": "删除辅助线" }, "lineStyle": { "color": "#1e90ff", "type": "dashed", "width": 2 } }, "dataView": { "show": true, "title": "数据视图", "readOnly": false, "lang": ["数据视图","关闭","刷新"]}, "magicType": { "show": true, "title": { "line": "折线图切换", "stack": "堆积", "bar": "柱形图切换", "tiled": "平铺" }, "type": ["line","bar"] }, "restore": {"show": true,"title": "还原"}, "saveAsImage": { "show": true, "title": "保存为图片", "type": "png", "lang": ["点击保存"] } }, "show": true }, "legend": { "data": ["高度(km)与气温(°C)变化关系"] }, "xAxis": [ { "type": "value", "axisLabel": {"formatter": "{value} °C"} } ], "yAxis": [ { "type": "category", "axisLine": {"onZero": false}, "axisLabel": {"formatter": "{value} km"}, "boundaryGap": false, "data": [0,10,20,30,40,50,60,70,80] } ], "series": [ { "smooth": true,"name": "高度(km)与气温(°C)变化关系", "type": "line", "data": [15,-50,-56.5,-46.5,-22.1,-2.5,-27.7,-55.7,-76.5] } ] };*/ myChart.setOption(option); </script> </body>
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vue-vue使用echarts实现中国地图和点击省份进行查看(代码片段)
...到的模拟数据1,实现的效果和功能vue使用echarts实现中国地图和点击省份进行查看;下面是效果图:主要实现的功能如下:1,第一张是实现中国地图,点击任意省份能够显示tooltip提示框;2,第二张... 查看详情
react17+vite+echarts实现疫情数据可视化「06完成疫情地图绘制」
往期文章目录:React17+Vite+ECharts实现疫情数据可视化「01项目介绍篇」React17+Vite+ECharts实现疫情数据可视化「02快速搭建项目」React17+Vite+ECharts实现疫情数据可视化「03学习ReactHooks」React17+Vite+ECharts实现疫情数据可视化「04初始化项... 查看详情
react17+vite+echarts实现疫情数据可视化「06完成疫情地图绘制」
往期文章目录:React17+Vite+ECharts实现疫情数据可视化「01项目介绍篇」React17+Vite+ECharts实现疫情数据可视化「02快速搭建项目」React17+Vite+ECharts实现疫情数据可视化「03学习ReactHooks」React17+Vite+ECharts实现疫情数据可视化「04初始化项... 查看详情
echarts地图动态展示结合css+js
echarts地图展示功能非常强大,官网上静态展示的样例非常多了,动态的资料少。研究了下。我眼下实现的通过ajax从server获取数据动态展示地图。另外,我们有时候希望在地图之上做些自己定义的东西,比方:通知框。或者其它... 查看详情
echarts3地图实现数据迁徙,怎么实现画的迁徙的线路颜色不一致
参考技术A热力数据是后台生成的,那你的地图json也应该是后台生成,你改前端是没效果的。最终也会被后台数据覆盖。建议你修改后台数据库中的地图json数据 查看详情
echarts添加自定义geojson数据实现地图展示(代码片段)
概述:当初看到echarts的地图的时候感觉可以做点什么,但是一直米有实施,最近刚好用到了,就研究了研究,在echarts中添加了自定义的geojson数据,实现数据的地图展示。geojson数据生成:geojson数据的... 查看详情