Echarts China map with custom colors for each province, city and autonomous region

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foreword

Recently, I received an outsourcing project. One of the requirements is this. It is
necessary to display a statistical map of China. Each province and urban area is required to be a different color, which must be specially distinguished. And the hidden part of the South China Sea.
After reading the Echats related documents, I found that there is a similar demo, but it does not meet the requirements. So read the documentation carefully. Found a solution to the problem and shared it.

text

Not much nonsense, go directly to the code

Method 1 (Add styles directly in the data)

The data data structure that requires background cooperation is as follows:

data: {
    {name: '北京',value: 11,itemStyle:{normal:{areaColor:#fff,label:{show:false}}}},  
    {name: '天津',value: 22,itemStyle:{normal:{areaColor:#fff,label:{show:false}}}},  
    {name: '上海',value: 33,itemStyle:{normal:{areaColor:#fff,label:{show:false}}}},  
    {name: '重庆',value: 44,itemStyle:{normal:{areaColor:#fff,label:{show:false}}}},  
    {name: '河北',value: 55,itemStyle:{normal:{areaColor:#fff,label:{show:false}}}},  
    {name: '河南',value: 66,itemStyle:{normal:{areaColor:#fff,label:{show:false}}}},  
    {name: '云南',value: 77,itemStyle:{normal:{areaColor:#fff,label:{show:false}}}},  
    {name: '辽宁',value: 88,itemStyle:{normal:{areaColor:#fff,label:{show:false}}}},  
    {name: '湖南',value: 99,itemStyle:{normal:{areaColor:#fff,label:{show:false}}}},
    {name: '南海诸岛',value: 99,itemStyle:{normal:{opacity:0,label:{show:false}}}},
    
    ..........
    
}
    // areaColor 就是省的自定义颜色值
    // opacity 就是某个省透明，一般有业务需求要求隐藏南海诸岛（虽然业务有要求，但是一定要记住南海永远是中国的一部分，南海永远是中国的一部分，南海永远是中国的一部分，重要的事情说三遍！）

Front-end configuration information

option = {

    ....... 省略大堆配置
    
    series: [{
        type: 'map',
        name: 'tips名字',
        data: data
    }]
}

Method 2 (Add style in configuration, define color in data)

The data data structure that requires background cooperation is as follows:

data: {
    {"name": "北京", "value": 34, "count": 500, "color": "#f00"},
    {"name": "天津", "value": 33, "count": 300, "color": "#ff0"},
    {"name": "上海", "value": 32, "count": 50, "color": "#f0f"},
    {"name": "重庆", "value": 31, "count": 50, "color": "#0f0"},
    {"name": "河北", "value": 30, "count": 120, "color": "#00f"},
    
    ........
    
}

Front-end configuration information

// data需要进行一次循环,填入设置。
var customSettings = [];
data.forEach(function (item, index) {
    customSettings.push({
        name: item.name,
        itemStyle: {
            areaColor: item.color,
            color: item.color
        }
    })
})
// 南海单独设置，push 进数组
customSettings.push(
    {
        name: '南海诸岛',
        itemStyle: {
            normal: {
                opacity: 0,
                label: {
                    show: false
                }
            }
        }
    }
)

option = {

    ....... 省略大堆配置
    geo: {
        map: 'china',
        top: 0,
        bottom: 0,
        regions: customSettings   // 设置单独的样式。
    }
    series: [{
        type: 'map',
        name: 'tips名字',
        data: data
    }]
}

Summarize

These are the two solutions I have found so far, each with its own advantages and disadvantages. The first one requires background support and returns the data you need, but the returned data carries a lot of data. However, you can also return to the previous section to assemble the data by yourself. A looping method similar to the second method can be used.