2019-12-19 09:29:32 +08:00
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2019-12-19 15:43:21 +08:00
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2019-12-19 09:29:32 +08:00
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{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},
|
2019-12-19 15:43:21 +08:00
|
|
|
{name: "大庆", value: 279},
|
|
|
|
|
{name: "班公湖", value: 300},
|
|
|
|
|
{name: "洞朗", value: 210},
|
|
|
|
|
{name: "桑多河谷", value: 200}
|
2019-12-19 09:29:32 +08:00
|
|
|
];
|
|
|
|
|
|
|
|
|
|
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;
|
|
|
|
|
};
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
2019-12-24 16:42:00 +08:00
|
|
|
|
2019-12-19 09:29:32 +08:00
|
|
|
|
|
|
|
|
|
|
|
|
|
// myChart.setOption(option);
|
|
|
|
|
|
2019-12-24 16:42:00 +08:00
|
|
|
// setTimeout(function () {
|
|
|
|
|
// myChart.dispatchAction({
|
|
|
|
|
// type: 'brush',
|
|
|
|
|
// areas: [
|
|
|
|
|
// {
|
|
|
|
|
// geoIndex: 0,
|
|
|
|
|
// brushType: 'polygon',
|
|
|
|
|
// coordRange: [[119.72,34.85],[119.68,34.85],[119.5,34.84],[119.19,34.77],[118.76,34.63],[118.6,34.6],[118.46,34.6],[118.33,34.57],[118.05,34.56],[117.6,34.56],[117.41,34.56],[117.25,34.56],[117.11,34.56],[117.02,34.56],[117,34.56],[116.94,34.56],[116.94,34.55],[116.9,34.5],[116.88,34.44],[116.88,34.37],[116.88,34.33],[116.88,34.24],[116.92,34.15],[116.98,34.09],[117.05,34.06],[117.19,33.96],[117.29,33.9],[117.43,33.8],[117.49,33.75],[117.54,33.68],[117.6,33.65],[117.62,33.61],[117.64,33.59],[117.68,33.58],[117.7,33.52],[117.74,33.5],[117.74,33.46],[117.8,33.44],[117.82,33.41],[117.86,33.37],[117.9,33.3],[117.9,33.28],[117.9,33.27],[118.09,32.97],[118.21,32.7],[118.29,32.56],[118.31,32.5],[118.35,32.46],[118.35,32.42],[118.35,32.36],[118.35,32.34],[118.37,32.24],[118.37,32.14],[118.37,32.09],[118.44,32.05],[118.46,32.01],[118.54,31.98],[118.6,31.93],[118.68,31.86],[118.72,31.8],[118.74,31.78],[118.76,31.74],[118.78,31.7],[118.82,31.64],[118.82,31.62],[118.86,31.58],[118.86,31.55],[118.88,31.54],[118.88,31.52],[118.9,31.51],[118.91,31.48],[118.93,31.43],[118.95,31.4],[118.97,31.39],[118.97,31.37],[118.97,31.34],[118.97,31.27],[118.97,31.21],[118.97,31.17],[118.97,31.12],[118.97,31.02],[118.97,30.93],[118.97,30.87],[118.97,30.85],[118.95,30.8],[118.95,30.77],[118.95,30.76],[118.93,30.7],[118.91,30.63],[118.91,30.61],[118.91,30.6],[118.9,30.6],[118.88,30.54],[118.88,30.51],[118.86,30.51],[118.86,30.46],[118.72,30.18],[118.68,30.1],[118.66,30.07],[118.62,29.91],[118.56,29.73],[118.52,29.63],[118.48,29.51],[118.44,29.42],[118.44,29.32],[118.43,29.19],[118.43,29.14],[118.43,29.08],[118.44,29.05],[118.46,29.05],[118.6,28.95],[118.64,28.94],[119.07,28.51],[119.25,28.41],[119.36,28.28],[119.46,28.19],[119.54,28.13],[119.66,28.03],[119.78,28],[119.87,27.94],[120.03,27.86],[120.17,27.79],[120.23,27.76],[120.3,27.72],[120.42,27.66],[120.52,27.64],[120.58,27.63],[120.64,27.63],[120.77,27.63],[120.89,27.61],[120.97,27.6],[121.07,27.59],[121.15,27.59],[121.28,27.59],[121.38,27.61],[121.56,27.73],[121.73,27.89],[122.03,28.2],[122.3,28.5],[122.46,28.72],[122.5,28.77],[122.54,28.82],[122.56,28.82],[122.58,28.85],[122.6,28.86],[122.61,28.91],[122.71,29.02],[122.73,29.08],[122.93,29.44],[122.99,29.54],[123.03,29.66],[123.05,29.73],[123.16,29.92],[123.24,30.02],[123.28,30.13],[123.32,30.29],[123.36,30.36],[123.36,30.55],[123.36,30.74],[123.36,31.05],[123.36,31.14],[123.36,31.26],[123.38,31.42],[123.46,31.74],[123.48,31.83],[123.48,31.95],[123.46,32.09],[123.34,32.25],[123.22,32.39],[123.12,32.46],[123.07,32.48],[123.05,32.49],[122.97,32.53],[122.91,32.59],[122.83,32.81],[122.77,32.87],[122.71,32.9],[122.56,32.97],[122.38,33.05],[122.3,33.12],[122.26,33.15],[122.22,33.21],[122.22,33.3],[122.22,33.39],[122.18,33.44],[122.07,33.56],[121.99,33.69],[121.89,33.78],[121.69,34.02],[121.66,34.05],[121.64,34.08]]
|
|
|
|
|
// }
|
|
|
|
|
// ]
|
|
|
|
|
// });
|
|
|
|
|
// }, 0);
|
2019-12-19 09:29:32 +08:00
|
|
|
|
|
|
|
|
|
|
|
|
|
function renderBrushed(params) {
|
|
|
|
|
var mainSeries = params.batch[0].selected[0];
|
|
|
|
|
|
|
|
|
|
var selectedItems = [];
|
|
|
|
|
var categoryData = [];
|
|
|
|
|
var barData = [];
|
|
|
|
|
var maxBar = 30;
|
|
|
|
|
var sum = 0;
|
|
|
|
|
var count = 0;
|
|
|
|
|
|
|
|
|
|
for (var i = 0; i < mainSeries.dataIndex.length; i++) {
|
|
|
|
|
var rawIndex = mainSeries.dataIndex[i];
|
|
|
|
|
var dataItem = convertedData[0][rawIndex];
|
|
|
|
|
var pmValue = dataItem.value[2];
|
|
|
|
|
|
|
|
|
|
sum += pmValue;
|
|
|
|
|
count++;
|
|
|
|
|
|
|
|
|
|
selectedItems.push(dataItem);
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
selectedItems.sort(function (a, b) {
|
|
|
|
|
return a.value[2] - b.value[2];
|
|
|
|
|
});
|
|
|
|
|
|
|
|
|
|
for (var i = 0; i < Math.min(selectedItems.length, maxBar); i++) {
|
|
|
|
|
categoryData.push(selectedItems[i].name);
|
|
|
|
|
barData.push(selectedItems[i].value[2]);
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
this.setOption({
|
|
|
|
|
yAxis: {
|
|
|
|
|
data: categoryData
|
|
|
|
|
},
|
|
|
|
|
xAxis: {
|
|
|
|
|
axisLabel: {show: !!count}
|
|
|
|
|
},
|
|
|
|
|
title: {
|
|
|
|
|
id: 'statistic',
|
|
|
|
|
text: count ? '平均: ' + (sum / count).toFixed(4) : ''
|
|
|
|
|
},
|
|
|
|
|
series: {
|
|
|
|
|
id: 'bar',
|
|
|
|
|
data: barData
|
|
|
|
|
}
|
|
|
|
|
});
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
// const renderFocusNodeJacency = function (params) {
|
|
|
|
|
// console.log('高量: ', params);
|
|
|
|
|
// }
|
2019-12-24 16:42:00 +08:00
|
|
|
$(function(){
|
|
|
|
|
InitMap("");
|
|
|
|
|
})
|
|
|
|
|
var convertedData = [];
|
|
|
|
|
function setCurrent(currentOption){
|
|
|
|
|
convertedData = [
|
|
|
|
|
convertData(data),
|
|
|
|
|
convertData(data.sort(function (a, b) {
|
|
|
|
|
return b.value - a.value;
|
|
|
|
|
}).slice(0, 6)),
|
|
|
|
|
convertData(data.filter(function(item){
|
|
|
|
|
if(item.name == currentOption){
|
|
|
|
|
return item
|
|
|
|
|
}
|
|
|
|
|
}))
|
|
|
|
|
];
|
|
|
|
|
}
|
|
|
|
|
function InitMap(currentOption){
|
|
|
|
|
setCurrent(currentOption);
|
|
|
|
|
var option = {
|
|
|
|
|
backgroundColor: '#044161',
|
|
|
|
|
animation: true,
|
|
|
|
|
animationDuration: 1000,
|
|
|
|
|
animationEasing: 'cubicInOut',
|
|
|
|
|
animationDurationUpdate: 1000,
|
|
|
|
|
animationEasingUpdate: 'cubicInOut',
|
|
|
|
|
title: [
|
|
|
|
|
{
|
|
|
|
|
text: '全国主要城市 知识兵要信息',
|
|
|
|
|
subtext: 'data from yunqicl',
|
|
|
|
|
left: 'center',
|
|
|
|
|
top: 10,
|
|
|
|
|
textStyle: {
|
|
|
|
|
color: '#fff'
|
|
|
|
|
}
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
id: 'statistic',
|
|
|
|
|
right: 120,
|
|
|
|
|
top: 40,
|
|
|
|
|
width: 100,
|
|
|
|
|
textStyle: {
|
|
|
|
|
color: '#fff',
|
|
|
|
|
fontSize: 16
|
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
],
|
|
|
|
|
toolbox: {
|
|
|
|
|
iconStyle: {
|
|
|
|
|
normal: {
|
|
|
|
|
borderColor: '#fff'
|
|
|
|
|
},
|
|
|
|
|
emphasis: {
|
|
|
|
|
borderColor: '#b1e4ff'
|
|
|
|
|
}
|
|
|
|
|
},
|
|
|
|
|
feature: {
|
|
|
|
|
dataZoom: {},
|
|
|
|
|
brush: {
|
|
|
|
|
type: ['rect', 'polygon', 'clear']
|
|
|
|
|
},
|
|
|
|
|
saveAsImage : {show: true}
|
|
|
|
|
}
|
|
|
|
|
},
|
|
|
|
|
brush: {
|
|
|
|
|
outOfBrush: {
|
|
|
|
|
color: '#abc'
|
|
|
|
|
},
|
|
|
|
|
brushStyle: {
|
|
|
|
|
borderWidth: 1,
|
|
|
|
|
color: 'rgba(255,140,0,0.5)',
|
|
|
|
|
borderColor: 'rgba(0,0,0,0.5)',
|
|
|
|
|
},
|
|
|
|
|
seriesIndex: [0, 1],
|
|
|
|
|
throttleType: 'debounce',
|
|
|
|
|
throttleDelay: 300,
|
|
|
|
|
geoIndex: 0
|
|
|
|
|
},
|
|
|
|
|
geo: {
|
|
|
|
|
map: 'china',
|
|
|
|
|
left: '140',
|
|
|
|
|
right: '10%',
|
|
|
|
|
center: [99.98561551896913, 33.205000490896193],
|
|
|
|
|
zoom: 0.6,
|
|
|
|
|
label: {
|
|
|
|
|
emphasis: {
|
|
|
|
|
show: false
|
|
|
|
|
}
|
|
|
|
|
},
|
|
|
|
|
roam: true,
|
|
|
|
|
itemStyle: {
|
|
|
|
|
normal: {
|
|
|
|
|
areaColor: '#1a5787',
|
|
|
|
|
borderColor: '#00BFFF'
|
|
|
|
|
},
|
|
|
|
|
emphasis: {
|
|
|
|
|
areaColor: '#206AA5'
|
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
},
|
|
|
|
|
tooltip : {
|
|
|
|
|
trigger: 'item'
|
|
|
|
|
},
|
|
|
|
|
grid: {
|
|
|
|
|
right: 20,
|
|
|
|
|
top: 100,
|
|
|
|
|
bottom: 40,
|
|
|
|
|
width: '15%'
|
2019-12-19 16:46:52 +08:00
|
|
|
},
|
|
|
|
|
xAxis: {
|
2019-12-24 16:42:00 +08:00
|
|
|
type: 'value',
|
|
|
|
|
scale: true,
|
|
|
|
|
position: 'top',
|
|
|
|
|
boundaryGap: false,
|
|
|
|
|
splitLine: {show: false},
|
|
|
|
|
axisLine: {show: false},
|
|
|
|
|
axisTick: {show: false},
|
|
|
|
|
axisLabel: {margin: 2, textStyle: {color: '#aaa'}},
|
2019-12-19 16:46:52 +08:00
|
|
|
},
|
2019-12-24 16:42:00 +08:00
|
|
|
yAxis: {
|
|
|
|
|
type: 'category',
|
|
|
|
|
name: 'TOP 20',
|
|
|
|
|
nameGap: 16,
|
|
|
|
|
axisLine: {show: false, lineStyle: {color: '#ddd'}},
|
|
|
|
|
axisTick: {show: false, lineStyle: {color: '#ddd'}},
|
|
|
|
|
axisLabel: {interval: 0, textStyle: {color: '#ddd'}},
|
|
|
|
|
data: []
|
2019-12-19 16:46:52 +08:00
|
|
|
},
|
2019-12-24 16:42:00 +08:00
|
|
|
series : [
|
|
|
|
|
{
|
|
|
|
|
name: 'pm2.5',
|
|
|
|
|
type: 'scatter',
|
|
|
|
|
coordinateSystem: 'geo',
|
|
|
|
|
data: convertedData[0],
|
|
|
|
|
symbolSize: function (val) {
|
|
|
|
|
return Math.max(val[2] / 10, 8);
|
|
|
|
|
},
|
|
|
|
|
label: {
|
|
|
|
|
normal: {
|
|
|
|
|
formatter: '{b}',
|
|
|
|
|
position: 'right',
|
|
|
|
|
show: false
|
|
|
|
|
},
|
|
|
|
|
emphasis: {
|
|
|
|
|
show: true
|
|
|
|
|
}
|
|
|
|
|
},
|
|
|
|
|
itemStyle: {
|
|
|
|
|
normal: {
|
|
|
|
|
color: '#ddb926'
|
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
name: 'Top 6',
|
|
|
|
|
type: 'effectScatter',
|
|
|
|
|
coordinateSystem: 'geo',
|
|
|
|
|
data: convertedData[1],
|
|
|
|
|
symbolSize: function (val) {
|
|
|
|
|
return Math.max(val[2] / 10, 8);
|
|
|
|
|
},
|
|
|
|
|
showEffectOn: 'emphasis',
|
|
|
|
|
rippleEffect: {
|
|
|
|
|
brushType: 'stroke'
|
|
|
|
|
},
|
|
|
|
|
hoverAnimation: true,
|
|
|
|
|
label: {
|
|
|
|
|
normal: {
|
|
|
|
|
formatter: '{b}',
|
|
|
|
|
position: 'right',
|
|
|
|
|
show: true
|
|
|
|
|
}
|
|
|
|
|
},
|
|
|
|
|
itemStyle: {
|
|
|
|
|
normal: {
|
|
|
|
|
color: '#f4e925',
|
|
|
|
|
shadowBlur: 10,
|
|
|
|
|
shadowColor: '#333'
|
|
|
|
|
}
|
|
|
|
|
},
|
|
|
|
|
zlevel: 1
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
name: '当前选中',
|
|
|
|
|
type: 'effectScatter',
|
|
|
|
|
coordinateSystem: 'geo',
|
|
|
|
|
data: convertedData[2],
|
|
|
|
|
symbolSize: function (val) {
|
|
|
|
|
return Math.max(val[2] / 10, 8);
|
|
|
|
|
},
|
|
|
|
|
showEffectOn: 'emphasis',
|
|
|
|
|
rippleEffect: {
|
|
|
|
|
brushType: 'stroke'
|
|
|
|
|
},
|
|
|
|
|
hoverAnimation: true,
|
|
|
|
|
label: {
|
|
|
|
|
normal: {
|
|
|
|
|
formatter: '{b}',
|
|
|
|
|
position: 'right',
|
|
|
|
|
show: true
|
|
|
|
|
}
|
|
|
|
|
},
|
|
|
|
|
itemStyle: {
|
|
|
|
|
normal: {
|
|
|
|
|
color: '#ff0000',
|
|
|
|
|
shadowBlur: 10,
|
|
|
|
|
shadowColor: '#333'
|
|
|
|
|
}
|
|
|
|
|
},
|
|
|
|
|
zlevel: 1
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
id: 'bar',
|
|
|
|
|
zlevel: 2,
|
|
|
|
|
type: 'bar',
|
|
|
|
|
symbol: 'none',
|
|
|
|
|
itemStyle: {
|
|
|
|
|
normal: {
|
|
|
|
|
color: '#ddb926'
|
|
|
|
|
}
|
|
|
|
|
},
|
|
|
|
|
data: []
|
|
|
|
|
}
|
|
|
|
|
]
|
|
|
|
|
};
|
|
|
|
|
const container = document.querySelector('#maps');
|
|
|
|
|
var myChart = echarts.init(container);
|
|
|
|
|
|
|
|
|
|
myChart.setOption(option,true);
|
|
|
|
|
myChart.on('brushselected', renderBrushed);
|
|
|
|
|
// myChart.on('focusnodeadjacency', renderFocusNodeJacency);
|
|
|
|
|
myChart.on('click', function (params) {
|
|
|
|
|
console.log('init方法===》》》', window.initial);
|
|
|
|
|
var name = params.name;
|
|
|
|
|
console.log(name);
|
|
|
|
|
// window.loadData && window.loadData(name);
|
|
|
|
|
console.log(window.myChartGraph)
|
|
|
|
|
// window.myChartGraph && window.myChartGraph.restore && window.myChartGraph.restore();
|
|
|
|
|
window.initial && window.initial(name);
|
|
|
|
|
$('.fixed-left').css({left: 0}).addClass('collpased');
|
|
|
|
|
// $('.screen-btn').css({left: '360px'});
|
|
|
|
|
if (!$('.fixed-left').hasClass('active')) {
|
|
|
|
|
$('.screen-btn').css({left: '360px'});
|
2019-12-19 16:46:52 +08:00
|
|
|
}
|
2019-12-24 16:42:00 +08:00
|
|
|
$('.collpase-icon').addClass('icon-shouqi').removeClass('icon-zhankai');
|
|
|
|
|
const {seriesId, seriesIndex, seriesName, dataIndex, data, value } = params;
|
|
|
|
|
myChart.dispatchAction({
|
|
|
|
|
type: 'focusNodeAdjacency',
|
|
|
|
|
seriesId,
|
|
|
|
|
seriesIndex,
|
|
|
|
|
seriesName,
|
|
|
|
|
// 使用 dataIndex 来定位节点。
|
|
|
|
|
dataIndex,
|
|
|
|
|
});
|
|
|
|
|
const count = (params.data && params.data[params.data.length - 1]) || 0;
|
|
|
|
|
this.setOption({
|
|
|
|
|
yAxis: {
|
|
|
|
|
data: data
|
|
|
|
|
},
|
|
|
|
|
xAxis: {
|
|
|
|
|
axisLabel: {show: !!count}
|
|
|
|
|
},
|
|
|
|
|
title: {
|
|
|
|
|
id: 'statistic',
|
|
|
|
|
text: count ? '平均: ' + (1000 / count).toFixed(4) : ''
|
|
|
|
|
},
|
|
|
|
|
series: {
|
|
|
|
|
id: 'bar',
|
|
|
|
|
data: name
|
|
|
|
|
}
|
|
|
|
|
});
|
2019-12-19 16:46:52 +08:00
|
|
|
});
|
2019-12-24 16:42:00 +08:00
|
|
|
}
|
