全国36城无人区占该城市所有小区比例echarts value配置项内容和展示
data from Anjuke (%) (比例越高圆圈越大)
配置项如下
var data = [
{ name: "上海", value: 88.6},
{ name: "珠海", value: 91.5},
{ name: "三亚", value: 98.4},
{ name: "惠州", value: 92.8},
{ name: "海口", value: 99.6},
{ name: "合肥", value: 87.2},
{ name: "南京", value: 94.8},
{ name: "杭州", value: 93.9},
{ name: "苏州", value: 90.5},
{ name: "无锡", value: 95.4},
{ name: "昆山", value: 91.8},
{ name: "广州", value: 97.0},
{ name: "深圳", value: 87.7},
{ name: "佛山", value: 98.6},
{ name: "东莞", value: 94.9},
{ name: "福州", value: 95.2},
{ name: "厦门", value: 89.6},
{ name: "南宁", value: 98.6},
{ name: "郑州", value: 94.7},
{ name: "武汉", value: 97.4},
{ name: "长沙", value: 95.5},
{ name: "南昌", value: 97.9},
{ name: "北京", value: 92.1},
{ name: "长春", value: 93.0},
{ name: "大连", value: 87.9},
{ name: "沈阳", value: 97.4},
{ name: "哈尔滨", value: 97.7},
{ name: "天津", value: 94.9},
{ name: "济南", value: 93.2},
{ name: "青岛", value: 95.4},
{ name: "太原", value: 98.4},
{ name: "石家庄", value: 95.1},
{ name: "西安", value: 95.6},
{ name: "成都", value: 96.3},
{ name: "重庆", value: 98.0},
{ name: "昆明", value: 98.4},
];
var geoCoordMap = {
"上海": [121.48, 31.22],
"珠海": [113.52, 22.3],
"三亚": [109.31, 18.14],
"惠州": [114.4, 23.09],
"海口": [110.35, 20.02],
"合肥": [117.27, 31.86],
"南京": [118.78, 32.04],
"杭州": [120.19, 30.26],
"苏州": [120.62, 31.32],
"无锡": [120.29, 31.59],
"昆山": [120.95, 31.39],
"广州": [113.23, 23.16],
"深圳": [114.07, 22.62],
"佛山": [113.11, 23.05],
"东莞": [113.75, 23.04],
"福州": [119.3, 26.08],
"厦门": [118.1, 24.46],
"南宁": [108.33, 22.84],
"郑州": [113.65, 34.76],
"武汉": [114.31, 30.52],
"长沙": [113, 28.21],
"南昌": [115.89, 28.68],
"北京": [116.46, 39.92],
"长春": [125.35, 43.88],
"大连": [121.62, 38.92],
"沈阳": [123.38, 41.8],
"哈尔滨": [126.63, 45.75],
"天津": [117.2, 39.13],
"济南": [117, 36.65],
"青岛": [120.33, 36.07],
"太原": [112.53, 37.87],
"石家庄": [114.48, 38.03],
"西安": [108.95, 34.27],
"成都": [104.06, 30.67],
"重庆": [106.54, 29.59],
"昆明": [102.73, 25.04],
};
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 convertedData = [
convertData(data),
convertData(data.sort(function(a, b) {
return b.value - a.value;
}).slice(0, 6))
];
option = {
backgroundColor: '#404a59',
animation: true,
animationDuration: 1000,
animationEasing: 'cubicInOut',
animationDurationUpdate: 1000,
animationEasingUpdate: 'cubicInOut',
title: [{
text: '全国36城无人区占该城市所有小区比例',
subtext: 'data from Anjuke (%) (比例越高圆圈越大)',
left: 'center',
textStyle: {
color: '#fff'
}
}, {
id: 'statistic',
right: 120,
top: 40,
width: 100,
textStyle: {
color: '#fff',
fontSize: 16
}
}],
toolbox: {
iconStyle: {
normal: {
borderColor: '#fff'
},
emphasis: {
borderColor: '#FF8C00'
}
},
feature: {
dataZoom: {},
brush: {
type: ['rect', 'polygon', 'clear']
},
saveAsImage: {
show: true
}
}
},
brush: {
outOfBrush: {
color: '#abc'
},
brushStyle: {
borderWidth: 2,
color: 'rgba(0,0,0,0.2)',
borderColor: 'rgba(0,0,0,0.5)',
},
seriesIndex: [0, 1],
throttleType: 'debounce',
throttleDelay: 300,
geoIndex: 0
},
geo: {
map: 'china',
left: '10',
right: '35%',
center: [117.98561551896913, 31.205000490896193],
zoom: 2.5,
label: {
emphasis: {
show: false
}
},
roam: true,
itemStyle: {
normal: {
areaColor: '#323c48',
borderColor: '#111'
},
emphasis: {
areaColor: '#2a333d'
}
}
},
tooltip: {
trigger: 'item'
},
grid: {
right: 40,
top: 100,
bottom: 40,
width: '30%'
},
xAxis: {
type: 'value',
scale: true,
position: 'top',
boundaryGap: false,
splitLine: {
show: false
},
axisLine: {
show: false
},
axisTick: {
show: false
},
axisLabel: {
margin: 2,
textStyle: {
color: '#aaa'
}
},
},
yAxis: {
type: 'category',
name: 'TOP',
nameGap: 16,
axisLine: {
show: false,
lineStyle: {
color: '#ddd'
}
},
axisTick: {
show: false,
lineStyle: {
color: '#ddd'
}
},
axisLabel: {
interval: 0,
textStyle: {
color: '#ddd'
}
},
data: []
},
series: [{
name: '无人区占该城所有小区比例',
type: 'scatter',
coordinateSystem: 'geo',
data: convertedData[0],
symbolSize: function(val) {
return Math.max(val[1] / 3);
},
label: {
normal: {
formatter: '{b}',
position: 'right',
show: false
},
emphasis: {
show: true
}
},
itemStyle: {
normal: {
color: '#ddb926'
}
}
},
{
name: '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 val[2] / 3;
},
showEffectOn: 'render',
rippleEffect: {
brushType: 'stroke'
},
hoverAnimation: true,
label: {
normal: {
formatter: '{b}',
position: 'right',
show: true
}
},
itemStyle: {
normal: {
color: '#ff3300',
shadowBlur: 10,
shadowColor: '#FF7F00'
}
},
zlevel: 1
}, {
id: 'bar',
zlevel: 2,
type: 'bar',
symbol: 'none',
itemStyle: {
normal: {
color: '#ddb926'
}
},
data: []
}]
};
myChart.on('brushselected', renderBrushed);
// myChart.setOption(option);
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);
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
}
});
}
截图如下
