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pyecharts调整html位置,关于pyecharts 地图显示添加数据的问题

pycharts 添加已存在html

echarts : 香港地区显示(人口密集的人口数目) http://echarts.baidu.com/examples/editor.html?c=map-HK

series: [

{

name: ‘香港18区人口密度‘,

type: ‘map‘,

mapType: ‘HK

‘, // 自定义扩展图表类型

symbol:"pin",

itemStyle:{

normal:{label:{show:true,

formatter:‘{b}\n{c}‘

}},

emphasis:{label:{show:true}}

},

data:[

{name: ‘中西区‘, value: 20057.34},

{name: ‘湾仔‘, value: 15477.48},

{name: ‘东区‘, value: 31686.1},

{name: ‘南区‘, value: 6992.6},

{name: ‘油尖旺‘, value: 44045.49},

{name: ‘深水埗‘, value: 40689.64},

{name: ‘九龙城‘, value: 37659.78},

{name: ‘黄大仙‘, value: 45180.97},

{name: ‘观塘‘, value: 55204.26},

{name: ‘葵青‘, value: 21900.9},

{name: ‘荃湾‘, value: 4918.26},

{name: ‘屯门‘, value: 5881.84},

{name: ‘元朗‘, value: 4178.01},

{name: ‘北区‘, value: 2227.92},

{name: ‘大埔‘, value: 2180.98},

{name: ‘沙田‘, value: 9172.94},

{name: ‘西贡‘, value: 3368},

{name: ‘离岛‘, value: 806.98}

],

// 自定义名称映射

nameMap: {

‘Central and Western‘: ‘中西区‘,

‘Eastern‘: ‘东区‘,

‘Islands‘: ‘离岛‘,

‘Kowloon City‘: ‘九龙城‘,

‘Kwai Tsing‘: ‘葵青‘,

‘Kwun Tong‘: ‘观塘‘,

‘North‘: ‘北区‘,

‘Sai Kung‘: ‘西贡‘,

‘Sha Tin‘: ‘沙田‘,

‘Sham Shui Po‘: ‘深水埗‘,

‘Southern‘: ‘南区‘,

‘Tai Po‘: ‘大埔‘,

‘Tsuen Wan‘: ‘荃湾‘,

‘Tuen Mun‘: ‘屯门‘,

‘Wan Chai‘: ‘湾仔‘,

‘Wong Tai Sin‘: ‘黄大仙‘,

‘Yau Tsim Mong‘: ‘油尖旺‘,

‘Yuen Long‘: ‘元朗‘

}

}

]

添加formatter:‘{b}\n{c}‘ 可显示数据

那么可以在pyecharts 中的html文件中对应位置添加这行,即可显示!!!

"series": [

{

"symbol": "circle",

"roam": true,

"label": {

"emphasis": {

"show": true,

"textStyle": {

"fontSize": 12

}

},

"normal": {

"show": true,

"formatter":‘{b}\n{c}‘,

"textStyle": {

"fontSize": 12

},

"position": "top"

}

},

"type": "map",

"mapType": "china",

"showLegendSymbol": false,

"data": [

{

"value": 361.1555,

"name": "\u4e0a\u6d77"

},

{

"value": 130.8591,

"name": "\u4e91\u5357"

},

{

"value": 173.7109,

"name": "\u5185\u8499\u53e4"

},

{

"value": 280.5315,

"name": "\u5317\u4eac"

},

{

"value": 57.2547,

"name": "\u5409\u6797"

},

{

"value": 279.4284,

"name": "\u56db\u5ddd"

},

{

"value": 102.4437,

"name": "\u5929\u6d25"

},

{

"value": 61.412400000000005,

"name": "\u5b81\u590f"

},

{

"value": 199.1918,

"name": "\u5b89\u5fbd"

},

{

"value": 487.5595,

"name": "\u5c71\u4e1c"

},

{

"value": 215.07510000000002,

"name": "\u5c71\u897f"

},

{

"value": 992.4857,

"name": "\u5e7f\u4e1c"

},

{

"value": 150.446,

"name": "\u5e7f\u897f"

},

{

"value": 258.3552,

"name": "\u65b0\u7586"

},

{

"value": 918.8475000000001,

"name": "\u6c5f\u82cf"

},

{

"value": 281.22979999999995,

"name": "\u6c5f\u897f"

},

{

"value": 240.6574,

"name": "\u6cb3\u5317"

},

{

"value": 253.39150000000004,

"name": "\u6cb3\u5357"

},

{

"value": 1109.0634,

"name": "\u6d59\u6c5f"

},

{

"value": 27.9435,

"name": "\u6d77\u5357"

},

{

"value": 311.653,

"name": "\u6e56\u5317"

},

{

"value": 391.36280000000005,

"name": "\u6e56\u5357"

},

{

"value": 109.33720000000001,

"name": "\u7518\u8083"

},

{

"value": 423.3532,

"name": "\u798f\u5efa" }, { "value": 2.4737999999999998, "name": "\u897f\u85cf" }, { "value": 153.69119999999998, "name": "\u8d35\u5dde" }, { "value": 175.05489999999998, "name": "\u8fbd\u5b81" }, { "value": 136.739, "name": "\u91cd\u5e86" }, { "value": 180.3254, "name": "\u9655\u897f" }, { "value": 37.389399999999995, "name": "\u9752\u6d77" }, { "value": 96.69749999999999, "name": "\u9ed1\u9f99\u6c5f" } ] }],

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