1. 解决了echarts的展现
2. 解决了echarts全屏幕展现（width:100%;height:100%;）
3. 解决了向接口取数据问题
<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<title>xxx可视化数据中心</title>
<!-- 引入 echarts.js -->
<script src="/static/echarts.min.js"></script>
<script src="/static/china.js"></script>
</head>
<style>
html,
body {
width: 100%;
height: 100%;
margin: 0;
}
</style>
<body>
<!-- 为ECharts准备一个具备大小（宽高）的Dom -->
<div id="left" style="width: 75%;height:100%;float:left;"></div>
<div id="rtop" style="width: 25%;height:50%;float:left;background:#404a59;display:none;">
<p class="voice" style="font-size:24px;font-weight:bold;color:#3dbfda;margin-top:100px;">今日请求总量：<span class="voiceCount" style="color:#ddb926"></span></p>
<p class="device" style="font-size:24px;font-weight:bold;color:#3dbfda">今日活跃数：<span class="deviceCount" style="color:#ddb926"></span></p>
<p class="city" style="font-size:24px;font-weight:bold;color:#3dbfda">今日活跃城市数：<span class="cityCount" style="color:#ddb926"></span></p>
</div>
<div id="right" style="width: 25%;height:50%;float:left;"></div>
<script type="text/javascript">
// 基于准备好的dom，初始化echarts实例
var myChart = echarts.init(document.getElementById(‘left‘));
var barChart = echarts.init(document.getElementById(‘right‘));
// 指定图表的配置项和数据
var data = [];
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],
‘吉林市‘: [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],
‘台北市‘: [121.56, 25.1],
‘新竹市‘: [121.01, 24.47],
‘黔西南布依族苗族自治州‘: [104.9043700000, 25.0898800000],
‘伊犁哈萨克自治州‘: [81.3241600000, 43.9168900000],
‘西双版纳傣族自治州‘: [100.79, 22.00],
‘黔东南苗族侗族自治州‘: [108.3, 27.3],
‘恩施土家族苗族自治州‘: [109.5, 30.3],
‘楚雄彝族自治州‘: [101.5276700000, 25.0449500000],
‘中卫‘: [105.18, 37.51],
‘黄冈‘: [114.87, 30.45],
‘塔城‘: [82.98, 46.74],
‘呼伦贝尔‘: [119.7658400000, 49.2116300000],
‘信阳‘: [114.09, 32.14],
‘周口‘: [114.69, 33.62],
‘红河哈尼族彝族自治州‘: [103.37, 23.36],
‘怀化‘: [110.00, 27.56],
‘忻州‘: [112.73, 38.41],
‘衡阳‘: [112.57, 26.89],
‘贺州‘: [111.56, 24.40],
‘宁德‘: [119.54, 26.66],
‘巴彦淖尔‘: [107.38, 40.74],
‘漯河‘: [114.01, 33.58],
‘赣州‘: [114.93, 25.83],
‘绥化‘: [126.97, 46.65],
‘吕梁‘: [111.14, 37.51],
‘内江‘: [105.06, 29.58],
‘淮南‘: [116.99, 32.62],
‘河池‘: [108.08, 24.69],
‘眉山‘: [103.84, 30.07],
‘抚州‘: [116.35, 27.94],
‘潜江‘: [112.91, 30.36],
‘哈密‘: [93.51, 42.81],
‘新乡‘: [113.9267500000, 35.3032300000],
‘汉中‘: [107.0237700000, 33.0676100000],
‘阜阳‘: [115.8149500000, 32.8896300000],
‘广元‘: [105.8435700000, 32.4354900000],
‘安庆‘: [117.0635400000, 30.5429400000],
‘达州‘: [107.4679100000, 31.2086400000],
‘文山壮族苗族自治州‘: [104.2150400000, 23.3984900000],
‘商洛‘: [109.94, 33.87],
‘宜春‘: [114.41, 27.81],
‘黄石‘: [115.0389000000, 30.1995300000],
‘益阳‘: [112.3551600000, 28.5539100000],
‘莆田‘: [119.0077100000, 25.4540000000],
‘漳州‘: [117.6472500000, 24.5134700000],
‘上饶‘: [117.9435700000, 28.4546300000],
‘六盘水‘: [104.8302300000, 26.5933600000],
‘晋城‘: [112.8511300000, 35.4903900000],
‘十堰‘: [110.7980100000, 32.6291800000]
};
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;
};
var barValue = function (data) {
var res = [];
for (var i = 0; i < data.length; i++) {
var geoCoord = geoCoordMap[data[i].name];
if (geoCoord) {
res.push({
value: data[i].value
});
}
}
return res;
};
var barName = function (data) {
var res = [];
for (var i = 0; i < data.length; i++) {
var geoCoord = geoCoordMap[data[i].name];
if (geoCoord) {
res.push({
value: data[i].name
});
}
}
return res;
};
function randomData() {
return Math.round(Math.random() * 1000);
}
option = {
backgroundColor: ‘#404a59‘,
title: {
text: ‘ROKID语音请求量全国分布‘,
left: ‘center‘,
top: "20",
textStyle: {
color: ‘#fff‘,
fontSize: "28"
}
},
tooltip: {
trigger: ‘item‘,
formatter: function (params) {
return params.name + ‘ : ‘ + params.value[2] + ‘次‘;
}
},
geo: {
map: ‘china‘,
label: {
emphasis: {
show: false
}
},
roam: true,
itemStyle: {
normal: {
//地图色块
areaColor: ‘#323c48‘,
borderColor: ‘#111‘
},
emphasis: {
//地图hover色块
areaColor: ‘#2a333d‘
}
}
},
color: [‘#3398DB‘],
visualMap: {
min: 0,
max: 15000,
left: ‘left‘,
top: ‘bottom‘,
text: [‘高‘, ‘低‘], // 文本，默认为数值文本
calculable: true,
inRange: {
color: [‘#3dbfda‘, ‘#eac736‘, ‘#FE2E2E‘]
},
show: false
},
series: [
{
name: ‘访问量‘,
type: ‘scatter‘,
coordinateSystem: ‘geo‘,
data: convertData(data),
symbolSize: function (val) {
return 8;
},
label: {
normal: {
formatter: ‘{b}‘,
position: ‘right‘,
show: false
},
emphasis: {
show: true
}
},
itemStyle: {
normal: {
color: ‘#ddb926‘
}
}
},
{
name: ‘访问量Top 5‘,
type: ‘effectScatter‘,
coordinateSystem: ‘geo‘,
data: convertData(data.sort(function (a, b) {
return b.value - a.value;
}).slice(0, 5)),
symbolSize: function (val) {
return 16;
},
showEffectOn: ‘render‘,
rippleEffect: {
brushType: ‘stroke‘,
period: 1,
scale: 3.5
},
hoverAnimation: true,
label: {
normal: {
formatter: ‘{b}‘,
position: ‘right‘,
show: true
}
},
itemStyle: {
normal: {
//top10颜色
color: ‘#3dbfda‘,
shadowBlur: 10,
shadowColor: ‘#333‘
}
},
zlevel: 1
}
]
};
baroption = {
backgroundColor: ‘#404a59‘,
color: [‘#3398DB‘],
title: {
text: ‘语音请求量TOP10‘,
left: ‘center‘,
top: ‘5%‘,
textStyle: {
color: ‘#fff‘
}
},
tooltip: {
trigger: ‘axis‘,
axisPointer: { // 坐标轴指示器，坐标轴触发有效
type: ‘shadow‘ // 默认为直线，可选为：‘line‘ | ‘shadow‘
}
},
grid: {
left: ‘0%‘,
right: ‘6%‘,
top: ‘20%‘,
bottom: ‘10%‘,
containLabel: true,
show: false
},
xAxis: [
{
type: ‘value‘,
position: "top",
axisLabel: { textStyle: { color: ‘#aaa‘ } },
splitLine: { show: false },
axisLine: { show: false },
axisTick: { show: false }
}
],
yAxis: [
{
type: ‘category‘,
data: barName(data.sort(function (a, b) {
return b.value - a.value;
}).slice(0, 10)),
inverse: true,
axisTick: {
alignWithLabel: true
},
axisLabel: { textStyle: { color: ‘#aaa‘ } },
splitLine: { show: false },
axisLine: { show: false },
axisTick: { show: false }
}
],
series: [
{
name: ‘语音访问量‘,
type: ‘bar‘,
barWidth: ‘60%‘,
data: barValue(data.sort(function (a, b) {
return b.value - a.value;
}).slice(0, 10)),
itemStyle: {
normal: {
color: ‘#3dbfda‘
}
},
label: {
normal: {
show: true,
position: ‘right‘
}
}
}
]
}
var getData = function () {
var url = ‘/api/statistics/city‘;
var voiceCount = 0,
deviceCount = 0,
voiceDOM = document.getElementsByClassName("voiceCount")[0],
deviceDOM = document.getElementsByClassName("deviceCount")[0],
cityDOM = document.getElementsByClassName("cityCount")[0],
outer = document.getElementById("rtop");
fetch(url, {
method: ‘GET‘,
credentials: ‘same-origin‘,
headers: {
‘Accept‘: ‘application/json‘,
‘Content-Type‘: ‘application/json‘
}
}).then((res) => {
res.json().then((json) => {
deviceDOM.innerHTML = json.device_count;
cityDOM.innerHTML = json.data.length;
data = json.data;
data.forEach(function (item) {
voiceCount += item.value;
})
voiceDOM.innerHTML = voiceCount;
// 使用刚指定的配置项和数据显示图表。
option.series[0].data = convertData(data);
option.series[1].data = convertData(data.sort(function (a, b) {
return b.value - a.value;
}).slice(0, 11));
baroption.yAxis[0].data = barName(data.sort(function (a, b) {
return b.value - a.value;
}).slice(0, 11));
baroption.series[0].data = barValue(data.sort(function (a, b) {
return b.value - a.value;
}).slice(0, 11));
myChart.setOption(option);
barChart.setOption(baroption);
outer.style.display = "block";
})
})
}
getData();
var timer = setInterval(function () {
getData();
}, 135000)
</script>
</body>
</html>
接口数据的格式
{
"data": [
{
"name": "金华",
"value": 23
},
{
"name": "韶关",
"value": 4
},
{
"name": "福州",
"value": 32
}
],
"device_count": 111,
"errcode": 0,
"errmsg": ""
}
备注，供以后参考和使用
时间： 2024-10-13 09:58:12