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疫情数据可视化-湖北省疫情可视化软件设计大赛作品_kkkkictvg$tyg

作者：AllinToyou | 2024-03-28 18:06:01

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湖北省疫情监测中心（疫情数据可视化）目录

前言
一、数据可视化
二、疫情可视化
- 湖北省疫情监测中心

前言

这是此次参加软件设计大赛的一次可视化作品，已获省级一等奖、国家三等奖，仅供参考禁止转载。

一、数据可视化

① 疫情仍然在蔓延，如何利用全面、有效，及时的数据和可视化技术准确感知疫情态势，为决策者、管理人员提供宏观数据依据，节省决策时间，让数据可视化成为管理者和时间赛跑的帮手，是快速打赢这场“战疫”的关键。 ② 数据大屏的设计，需要拥有对动态数据的把握、分析和呈现的能力、用宏观的视野和细致入微的匠人之心让冰冷的数据产生温度。包括科学的运用图表、运用色彩、把控数据层级以及视觉层级，达到美学形式与功能需求完美融合。 ③ 我们运用所学专业知识对疫情进行可视化，对于疫情的决策者与监管者来说，通过数据可视化大屏来掌握疫情发展状况，能够更为直观了解全局信息，有效节省决策时间。

二、疫情可视化

湖北省疫情监测中心

在这里插入图片描述

① 主要框架

整体是一个基于 Python + Flask + Echarts 打造的一个湖北省疫情监控系统。使用的技术包括但不限于：
Python网络爬虫
Python 与 MySQL 数据库交互
使用 Flask 框架构建Web端
基于 Echarts 数据可视化展示
在这里插入图片描述

② 数据爬取

数据爬取
在这里插入图片描述

③ 疫情可视化模块（疫情监测模块）

疫情监测
相关图表采用 Echart 官网 option
Ⅰ. 全国累计趋势折线图
在这里插入图片描述
相关js的option代码：

var ec_left1_Option = {
	 tooltip: {
    trigger: 'axis',
       axisPointer: {
			type: 'line',
			lineStyle: {
				color: '#01ecee'
			}
		},
    position: function (pt) {
      return [pt[0], '10%'];
    }
  },
  title: {
    text: "全国累计趋势",
    textStyle: {
      color: '#ffffff',
    },
    left: 'left'
  },
  toolbox: {
    feature: {
      dataZoom: {
        yAxisIndex: 'none'
      },
      restore: {},
      saveAsImage: {}
    }
  },
  xAxis: {
    type: 'category',
    boundaryGap: false,
    axisLabel: {
			show: true,
			color: 'rgba(255,255,255,0.65)',
    },
    data: []
  },
  yAxis: {
    type: 'value',
    boundaryGap: [0, '100%'],
    axisLabel: {
			show: true,
			color: 'rgba(255,255,255,0.65)',
    },
  },
  dataZoom: [
    {
      type: 'inside',
      start: 0,
      end: 10
    },
    {
      start: 0,
      end: 10
    }
  ],
  series: [
    {
      name: '全国累计确诊（当日）',
      type: 'line',
      symbol: 'none',
      sampling: 'lttb',
      itemStyle: {
        color: 'rgb(1,236,238)'
      },
      areaStyle: {
        color: new echarts.graphic.LinearGradient(0, 0, 0, 1, [
          {
            offset: 0,
            color: 'rgba(69,221,162,0.7)'
          },
          {
            offset: 1,
            color: 'rgba(255,255,255,0.6)'
          }
        ])
      },
      data: []
    }
  ]
};
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Ⅱ. 湖北省累积趋势折线图
在这里插入图片描述
相关js的option代码：

var ec_right1_Option = {
	tooltip: {
		trigger: 'axis',
		//指示器
		axisPointer: {
			type: 'line',
			lineStyle: {
				color: '#01ecee'
			}
		},
	},
	legend: {
		data: ['累计确诊', '现有确诊', '累计治愈','累计死亡'],
		right: "5%",
		top: "10%",
		textStyle: {
			color: '#ffffff',
		},
	},
	//标题样式
	title: {
		text: "湖北累计趋势",
		textStyle: {
			color: '#ffffff',
		},
		left: 'left'
	},
	//图形位置
	grid: {
		left: '4%',
		right: '6%',
		bottom: '4%',
		top: 100,
		containLabel: true
	},
	xAxis: [{
		type: 'category',
		//x轴坐标点开始与结束点位置都不在最边缘
		// boundaryGap : true,
		axisLabel: {
			show: true,
			color: 'rgba(255,255,255,0.65)',
    },
		data: []
	}],
	yAxis: [{
		type: 'value',
		//y轴字体设置

		//y轴线设置显示
		axisLine: {
			show: true
		},
		axisLabel: {
			show: true,
			color: 'rgba(255,255,255,0.65)',
			fontSize: 12,
			formatter: function(value) {
				if (value >= 1000) {
					value = value / 1000 + 'k';
				}
				return value;
			}
		},
		//与x轴平行的线样式
		splitLine: {
			show: true,
			lineStyle: {
				//color: '#01ecee',指示器颜色
				width: 1,//指示器线条宽度
				// type: 'solid',
			}
		}
	}],
	series: [{
		name: "累计确诊",
		type: 'line',
		smooth: true,
		data: []
	}, {
		name: "现有疑似",
		type: 'line',
		smooth: true,
		data: []
	},{
		name: "累计治愈",
		type: 'line',
		smooth: true,
		data: []
	},{
		name: "累计死亡",
		type: 'line',
		smooth: true,
		data: []
	}]
};
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Ⅲ. 湖北累计确诊（地图展示）
该模块用了 Echarts 的 hubei.js
在这里插入图片描述
相关js的option代码：

var ec_center_Option = {
    title: {
        text: '湖北累计确诊',
        textStyle: {
            color: '#01ecee',
        },
        subtext: '',
        x: 'left',
        fontcolor:'#01ecee',
    },

    tooltip: {
        trigger: 'item'
    },
    //左侧小导航图标
    visualMap: {
        show: true,
        x: 'left',
        y: 'bottom',
        textStyle: {
            fontSize: 16,

        },
        splitList: [{ start: 1,end: 9, label: '确诊1-9人', color: '#4df8f2'},
            {start: 10, end: 99, label: '确诊10-99人', color: '#54c9c9'},
			{start: 100, end: 999, label: '确诊100-499人', color: '#3db9b6'},
            {start: 1000, end: 9999, label:'确诊500-9999人', color: '#1f8684'},
            {start: 10000, label: '大于等于1000人', color: '#30867a'}],
    },
    //配置属性
    series: [{
        name: '现有确诊人数',
        type: 'map',
        mapType: '湖北',
        roam: true, //拖动和缩放
        itemStyle: {
            normal: {
                borderWidth: 1.5, //区域边框宽度
                borderColor: 'rgb(2,9,30)', //区域边框颜色
                areaColor: "rgba(100,215,250,0.6)", //区域颜色
            },
            emphasis: { //鼠标滑过地图高亮的相关设置
                borderWidth: 1.5,
                borderColor: '#ffffff',
                areaColor: "#01ecee",
            }
        },
        label: {
            normal: {
                show: true, //省份名称
                fontSize: 13,
                color: "rgb(1,236,238)",
            },
            emphasis: {
                show: true,
                fontSize: 20,
                color: "rgb(255,255,255)",
            }
        },
        data: [] //mydata //数据
    }]
};
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Ⅳ. 湖北省各市累计确诊柱状图
在这里插入图片描述
相关js的option代码

let dataAxis = [];
// prettier-ignore
let data = [];
let yMax = 500;
let dataShadow = [];
for (let i = 0; i < data.length; i++) {
  dataShadow.push(yMax);
}
var ec_right2_Option = {
	//标题样式
  title: {
    text: '湖北各市累计确诊',
    textStyle: {
      color: '#ffffff',
    },
  },
  grid:{
    left : '16%',
    top : '17%',
    bottom : '10%',
  },

  xAxis: {
    data: dataAxis,
    axisLabel: {
      inside: true,
      color: '#fff'
    },
    axisTick: {
      show: false
    },
    axisLine: {
      show: false
    },
    z: 10
  },
  yAxis: {
    axisLine: {
      show: false
    },
    axisTick: {
      show: false
    },
    axisLabel: {
      color: 'rgba(1,236,238,0.65)'
    }
  },
  dataZoom: [
    {
      type: 'inside'
    }
  ],
  series: [
    {
      type: 'bar',
      showBackground: true,
      itemStyle: {
        color: new echarts.graphic.LinearGradient(0, 0, 0, 1, [
          { offset: 0, color: '#83bff6' },
          { offset: 0.5, color: '#188df0' },
          { offset: 1, color: '#188df0' }
        ])
      },
      emphasis: {
        itemStyle: {
          color: new echarts.graphic.LinearGradient(0, 0, 0, 1, [
            { offset: 0, color: '#2378f7' },
            { offset: 0.7, color: '#2378f7' },
            { offset: 1, color: 'rgba(1,236,238,0.65)' }
          ])
        }
      },
      data: data
    }
  ]
};
// Enable data zoom when user click bar.
const zoomSize = 6;
ec_right2.on('click', function (params) {
  console.log(dataAxis[Math.max(params.dataIndex - zoomSize / 2, 0)]);
  ec_right2.dispatchAction({
    type: 'dataZoom',
    startValue: dataAxis[Math.max(params.dataIndex - zoomSize / 2, 0)],
    endValue:
      dataAxis[Math.min(params.dataIndex + zoomSize / 2, data.length - 1)]
  });
});
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该模块展示完毕。

④ 便民信息可视化模块（检测信息模块）

在这里插入图片描述
Ⅰ. 地图模块

相关js代码：

var map = new AMap.Map('container', {
    resizeEnable: true,
    center: [114.338783, 30.348732],
    zoom: 15,
    viewMode: '3D' //使用3D视图
});
AMap.plugin('AMap.ToolBar', function() {
    var toolbar = new AMap.ToolBar();
    map.addControl(toolbar)
});

var marker = new AMap.Marker({
    position: map.getCenter(), //标记的位置坐标
    offset: new AMap.Pixel(-5, -5), //标记相对位置的偏移，对应style的left和top
    icon: ico, //创建好的icon，也可以在后面使用setIcon()方法添加
    zoom: 13
});

marker.setTitle("坐标点");
marker.setLabel({
    offset: new AMap.Pixel(10, 30),// 图标尺寸
    content: "您的位置"
});

var ico = new AMap.Icon({
    size: new AMap.Size(24, 30), // 图标尺寸
    image: 'static/333.jpeg', // Icon的图像
    imageOffset: new AMap.Pixel(0, 0), // 图像相对展示区域的偏移量，适于雪碧图等
    imageSize: new AMap.Size(24, 30) // 根据所设置的大小拉伸或压缩图片，对应style的width和height
});
map.add(marker); //将创建好的marker放到地图上面
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Ⅱ. 疫苗接种率圆环图及每百人疫苗接种率
在这里插入图片描述
相关js的option代码：

#疫苗接种率圆环图
var bo_cav_1_Option = {
  	title: {
		text: "疫苗接种率",
		textStyle: {
			color: '#ffffff',
		},
		left: 'center',
	},
  tooltip: {
    trigger: 'item'
  },
  legend: {
      orient: 'horizontal',
      bottom: '3%',
      left: 'center',
      textStyle:{
        color: "rgba(153,225,241,0.6)"
      }
   },
  series: [
    {
      name: '疫苗接种率',
      type: 'pie',
      radius: ['40%', '70%'],
      avoidLabelOverlap: false,
      itemStyle: {
        borderRadius: 10,
        borderColor: 'rgb(255,255,255)',
        borderWidth: 1.5,
      },
      label: {
        show: false,
        position: 'center',
      },
      emphasis: {
        label: {
          show: true,
          fontSize: '40',
          fontWeight: 'bold'

        }
      },
      labelLine: {
        show: false
      },
      data: [
        { value: /填入数据/, name: '已接种人数', itemStyle: { color: '#2fc7b4' }},
        { value: /填入数据/, name: '未接种人数', itemStyle: { color: '#ced350' }},
      ]
    }
  ]
};



#每百人疫苗接种率
var spirit = 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';
var bo_cav_2_Option = {
  title:{
    text:'每百人疫苗接种率',
    textStyle: {
      color: '#ffffff',
    },
    left:'center'
  },
  tooltip: {
    formatter:'{b}每百人接种率: {c}%',
    trigger: 'axis',
    axisPointer: {
			type: 'line',
			lineStyle: {
				color: '#01ecee'
			}
		},
  },
  xAxis: {
    max: 100,
    splitLine: {show: false},
    offset: 10,
    axisLine: {
      lineStyle: {
        color: 'rgba(153,225,241,0.6)'
      }
      },
    axisLabel: {
      margin: 10
    }
    },
  yAxis: {
    data: ['中国', '全球'],
    inverse: true,
    axisTick: {show: false},
    axisLine: {show: false},
    axisLabel: {
      margin: 15,
      color: 'rgba(153,225,241,0.84)',
      fontSize: 16
    },
    },
  grid: {
    top: 'center',
    height: 180,
    left: 70,
    right: 100,
  },
  series: [{
    //实际数据
    type: 'pictorialBar',
    symbol: spirit,
    symbolRepeat: 'fixed',
    symbolMargin: '5%',
    symbolClip: true,
    symbolSize: 30,
    symbolBoundingData: 100,
    data: [{'name': '中国', 'value': 53.02}, {'name': '全球', 'value': 26.83}],
    markLine: {
      symbol: 'none',
      label: {
        formatter: 'max: {c}%',
        position: 'start'
      },
      lineStyle: {
        color: 'rgba(153,225,241,0.84)',
        type: 'dotted',
        opacity: 0.5,
        width: 3
      },
      data: [{
        type: 'max'
      }]
    },
    z: 10
  }, {
    //对比数据
    type: 'pictorialBar',
    itemStyle: {
      normal: {
        opacity: 0.2
      }
      },
    label: {
      show: true,
      formatter: function (params) {
        return params.value + ' %';
        },
      position: 'right',
      offset: [10, 0],
      color: 'rgba(153,225,241,0.84)',
      fontSize: 18
    },
    animationDuration: 0,
    symbolRepeat: 'fixed',
    symbolMargin: '5%',
    symbol: spirit,
    symbolSize: 30,
    symbolBoundingData: 100,
    data: [{'name': '中国', 'value': 53.02}, {'name': '全球', 'value': 26.83}],
    z: 5
  }]
};



#全球疫苗接种率圆环图
var bo_cav_3_Option = {
    title: {
        text: '全球接种疫苗比率',
        //subtext: 'by Krystal',
        textStyle: {
            color: '#ffffff',
        },
        left: 'center'
    },
    tooltip: {
        trigger: 'item',
        formatter:'{b}：{c}剂'
    },
    legend: {
        orient: 'horizontal',
        bottom: '3%',
        textStyle:{
            color: "rgba(153,225,241,0.6)"
        }
    },
    series: [
        {
            name: '全球接种疫苗比率',
            type: 'pie',
            radius: '50%',
            itemStyle: {
                borderRadius: 10,
                borderColor: 'rgb(255,255,255)',
                borderWidth: 1.5,
            },
            data: [{value: 763065000, name: '中国接种', itemStyle: { color: '#ff5858' }},
                {value: 2091617616, name: '海外接种', itemStyle: { color: 'rgb(7,214,252)' }}
            ],
            emphasis: {
                itemStyle: {
                    shadowBlur: 10,
                    shadowOffsetX: 0,
                    shadowColor: 'rgba(0, 0, 0, 0.5)'
                }
            }
        }
        ]
};
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该模块展示完毕。

⑤ 学生信息可视化模块（信息服务模块）

在这里插入图片描述
Ⅰ. 我校学生实际返校占比圆环复合图（双圆环图）
相关js的option代码：

var students_Option = {
  title: {
    text: '我校学生实际返校占比统计',
    left:'center',
    textStyle: {
      color: '#ffffff',
    },
  },
  tooltip: {
    trigger: 'item',
    formatter: '{a} <br/>{b}: {c} ({d}%)'
  },
  legend: {
    bottom: 5,
    icon: "circle",
    textStyle:{
      color: "rgba(8,202,222,0.63)"
    },
    data: [
      '信息工程学院',
      '经济与管理学院',
      '人文学院',
      '艺术与传媒学院',
      '继续教育学院',
      '国家教育学院',
    ],
  },
  series: [
    {
      name: '各年级实际返校占比统计',
      type: 'pie',
      selectedMode: 'single',
      radius: [0, '30%'],
      itemStyle: {
        borderRadius: 10,
        borderColor: 'rgb(255,255,255)',
        borderWidth: 1,
      },
      label: {
        position: 'inner',
        fontSize: 14
      },
      labelLine: {
        show: true
      },
      data: [
        { value: /填入数据/, name: '大一' },
        { value: /填入数据/, name: '大二' },
        { value: /填入数据/, name: '大三' },
        { value: /填入数据/, name: '大四', selected: true }
      ]
    },
    {
      name: '各级学院实际返校占比',
      type: 'pie',
      radius: ['45%', '60%'],
      itemStyle: {
        borderRadius: 10,
        borderColor: 'rgb(255,255,255)',
        borderWidth: 1,
      },
      labelLine: {
        length: 20
      },
      label: {
        formatter: '{a|{a}}{abg|}\n{hr|}\n  {b|{b}：}{c}  {per|{d}%}  ',
        backgroundColor: '#F6F8FC',
        borderColor: '#8C8D8E',
        borderWidth: 1,
        borderRadius: 4,
        rich: {
          a: {
            color: '#6E7079',
            lineHeight: 22,
            align: 'center'
          },
          hr: {
            borderColor: '#8C8D8E',
            width: '100%',
            borderWidth: 1,
            height: 0
          },
          b: {
            color: '#4C5058',
            fontSize: 14,
            fontWeight: 'bold',
            lineHeight: 33
          },
          per: {
            color: '#fff',
            backgroundColor: '#4C5058',
            padding: [3, 4],
            borderRadius: 4
          }
        }
      },
      data: [
        { value: /填入数据/, name: '信息工程学院' },
        { value: /填入数据/, name: '经济与管理学院' },
        { value: /填入数据/, name: '人文学院' },
        { value: /填入数据/, name: '艺术与传媒学院' },
        { value: /填入数据/, name: '继续教育学院' },
        { value: /填入数据/, name: '国际教育学院' },
      ]
    }
  ]
};
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Ⅱ. 我校学生返校方式比率及我校学生返校意愿占比饼图
在这里插入图片描述
相关js的option代码：

#我校学生返校方式占比
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};
const labelSetting = {
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  position: 'right',
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  fontSize: 16
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  title: {
    text: '我校学生返校方式比率',
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  },
  legend: {
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    axisPointer: {
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  },
  grid: {
    containLabel: true,
    left: 20
  },
  yAxis: {
    data: ['飞机', '高铁/火车', '汽车'],
    inverse: true,
    axisLine: { show: false },
    axisTick: { show: false },
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      margin: 15,
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    axisLabel: { show: false },
    axisTick: { show: false },
    axisLine: { show: false }
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    right: 60,
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      barGap: '10%',
      label: labelSetting,
      symbolRepeat: true,
      symbolSize: ['80%', '60%'],
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        {
          value: /填入数据/,
          symbol: pathSymbols.plane
        },
        {
          value: /填入数据/,
          symbol: pathSymbols.train
        },
        {
          value: /填入数据/,
          symbol: pathSymbols.car
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  ]
};



#我校学生返校意愿占比饼图
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';

var piePatternImg = new Image();
piePatternImg.src = piePatternSrc;

var itemStyle = {
    normal: {
        opacity: 0.7,
        color: {
            image: piePatternImg,
            repeat: 'repeat'
        },
        borderWidth: 3,
        borderColor: '#235894'
    }
};
var coming_info_Option = {
    title: {
        text: '我校学生返校意愿占比',
        textStyle: {
            color: '#ffffff'
        },
        left: 'center',
    },
    tooltip: {},
    series: [{
        name: '我校学生返校意愿占比',
        type: 'pie',
        radius: ['10%', '70%'],
        selectedMode: 'single',
        selectedOffset: 30,
        clockwise: true,
        label: {
            fontSize: 18,
            color: 'rgba(255,255,255,0.74)'
        },
        labelLine: {
            lineStyle: {
                color: 'rgba(153,225,241,0.6)'
            }
        },
        data: [
            {value: /填入数据/, name: '确认返校'},
            {value: /填入数据/, name: '不返校'},
            {value: /填入数据/, name: '暂缓返校'},
        ],
        itemStyle: itemStyle
    }]
};
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该模块展示完毕。
Ⅰ.Ⅰ. 动态气泡图
在这里插入图片描述
相关js代码：

window.Bubcloud = (function(win, doc) { // ns
    // 判断对象
    function isObject (obj) {
        return Object.prototype.toString.call(obj) === '[object Object]';
    }

    // 构造函数
    function BubCloud (options) {
        var self = this;

        self.config = BubCloud._getConfig(options);
        self.box = self.config.element;   //组件元素
        self.fontsize = self.config.fontsize; //平均字体大小
        self.radius = self.config.radius; //滚动半径
        self.depth = 2 * self.radius;   //滚动深度
        self.size = 2 * self.radius;    //随鼠标滚动变速作用区域

        self.mspeed = BubCloud._getMsSpeed(self.config.mspeed);
        self.ispeed = BubCloud._getIsSpeed(self.config.ispeed);
        self.items = self._getItems();

        self.direction = self.config.direction;   //初始滚动方向
        self.keep = self.config.keep; //鼠标移出后是否保持之前滚动

        //初始化
        self.active = false;   //是否为激活状态
        self.lasta = 1;
        self.lastb = 1;
        self.mouseX0 = self.ispeed * Math.sin(self.direction * Math.PI / 180);    //鼠标与滚动圆心x轴初始距离
        self.mouseY0 = -self.ispeed * Math.cos(self.direction * Math.PI / 180);   //鼠标与滚动圆心y轴初始距离
        self.mouseX = self.mouseX0;   //鼠标与滚动圆心x轴距离
        self.mouseY = self.mouseY0;   //鼠标与滚动圆心y轴距离
        self.index = -1;

        //鼠标移入
        BubCloud._on(self.box, 'mouseover', function () {
            self.active = true;
        });
        //鼠标移出
        BubCloud._on(self.box, 'mouseout', function () {
            self.active = false;
        });

        //鼠标在内移动
        BubCloud._on(self.keep ? win : self.box, 'mousemove', function (ev) {
            var oEvent = win.event || ev;
            var boxPosition = self.box.getBoundingClientRect();
            self.mouseX = (oEvent.clientX - (boxPosition.left + self.box.offsetWidth / 2)) / 5;
            self.mouseY = (oEvent.clientY - (boxPosition.top + self.box.offsetHeight / 2)) / 5;
        });

        for (var j = 0, len = self.items.length; j < len; j++) {
            self.items[j].element.index=j;

            //鼠标移出子元素,当前元素静止放大
            self.items[j].element.onmouseover = function(){
                self.index = this.index;
            };

            //鼠标移出子元素,当前元素继续滚动
            self.items[j].element.onmouseout = function(){
                self.index = -1;
            };
        }

        //定时更新
        BubCloud.boxs.push(self.box);
        self.update(self);    //初始更新
        self.box.style.visibility = "visible";
        self.box.style.position = "relative";
       // self.box.style.minHeight = 1.2 * self.size + "px";
       // self.box.style.minWidth = 2.5 * self.size + "px";
        for (var j = 0, len = self.items.length; j < len; j++) {
            self.items[j].element.style.position = "absolute";
            self.items[j].element.style.zIndex = j + 1;
        }
        self.up = setInterval(function() {
            self.update(self);
        }, 10);
    }

    //实例
    BubCloud.boxs = []; //实例元素数组
    // 静态方法们
    BubCloud._set = function (element) {
        if (BubCloud.boxs.indexOf(element) == -1) {//ie8不支持数组的indexOf方法
            return true;
        }
    };

    //添加数组IndexOf方法
    if (!Array.prototype.indexOf){
        Array.prototype.indexOf = function(elt /*, from*/){
            var len = this.length >>> 0;
            var from = Number(arguments[1]) || 0;
            from = (from < 0)
                ? Math.ceil(from)
                : Math.floor(from);
            if (from < 0)
                from += len;

            for (; from < len; from++){
                if (from in this && this[from] === elt)
                    return from;
            }
            return -1;
        };
    }


    BubCloud._getConfig = function (config) {
        var defaultConfig = {   //默认值
            fontsize: 16,       //基本字体大小, 单位px
            radius: 60,         //滚动半径, 单位px
            mspeed: "normal",   //滚动最大速度, 取值: slow, normal(默认), fast
            ispeed: "normal",   //滚动初速度, 取值: slow, normal(默认), fast
            direction: 135,     //初始滚动方向, 取值角度(顺时针360): 0对应top, 90对应left, 135对应right-bottom(默认)...
            keep: true          //鼠标移出组件后是否继续随鼠标滚动, 取值: false, true(默认) 对应 减速至初速度滚动, 随鼠标滚动
        };

        if(isObject(config)) {
            for(var i in config) {
                if(config.hasOwnProperty(i)) {//hasOwnProperty()用来判断一个属性是定义在对象本身而不是继承自原型链
                    defaultConfig[i] = config[i]; //用户配置
                }
            }
        }

        return defaultConfig;// 配置 Merge
    };
    BubCloud._getMsSpeed = function (mspeed) {    //滚动最大速度
        var speedMap = {
            slow: 1.5, 
            normal: 3,
            fast: 5
        };
        return speedMap[mspeed] || 3;
    };
    BubCloud._getIsSpeed = function (ispeed) {    //滚动初速度
        var speedMap = {
            slow: 10,
            normal: 25,
            fast: 50
        };
        return speedMap[ispeed] || 25;
    };
    BubCloud._getSc = function(a, b) {
        var l = Math.PI / 180;
        //数组顺序0,1,2,3表示asin,acos,bsin,bcos
        return [
            Math.sin(a * l),
            Math.cos(a * l),
            Math.sin(b * l),
            Math.cos(b * l)
        ];
    };

    BubCloud._on = function (ele, eve, handler, cap) {
        if (ele.addEventListener) {
            ele.addEventListener(eve, handler, cap);
        } else if (ele.attachEvent) {
            ele.attachEvent('on' + eve, handler);
        } else {
            ele['on' + eve] = handler;
        }
    };

    // 原型方法
    BubCloud.prototype = {
        constructor: BubCloud, // 反向引用构造器

        update: function () {
            var self = this, a, b;

            if (!self.active && !self.keep) {
                self.mouseX = Math.abs(self.mouseX - self.mouseX0) < 1 ? self.mouseX0 : (self.mouseX + self.mouseX0) / 2;   //重置鼠标与滚动圆心x轴距离
                self.mouseY = Math.abs(self.mouseY - self.mouseY0) < 1 ? self.mouseY0 : (self.mouseY + self.mouseY0) / 2;   //重置鼠标与滚动圆心y轴距离
            }

            a = -(Math.min(Math.max(-self.mouseY, -self.size), self.size) / self.radius ) * self.mspeed;
            b = (Math.min(Math.max(-self.mouseX, -self.size), self.size) / self.radius ) * self.mspeed;
            
            if (Math.abs(a) <= 0.01 && Math.abs(b) <= 0.01) { return; }

            self.lasta = a;
            self.lastb = b;

            var sc = BubCloud._getSc(a, b);

            for (var j = 0, len = self.items.length; j < len; j++) {

                var rx1 = self.items[j].x,
                    ry1 = self.items[j].y*sc[1] + self.items[j].z*(-sc[0]),
                    rz1 = self.items[j].y*sc[0] + self.items[j].z*sc[1];

                var rx2 = rx1 * sc[3] + rz1 * sc[2],
                    ry2 = ry1,
                    rz2 = rz1 * sc[3] - rx1 * sc[2];

                if(self.index==j){

                    self.items[j].scale = 1; //取值范围0.6 ~ 3
                    self.items[j].fontsize = 16;
                    self.items[j].alpha = 1;
                    self.items[j].element.style.zIndex = 99;
                }else{
                    var per = self.depth / (self.depth + rz2);
                    self.items[j].x = rx2;
                    self.items[j].y = ry2;
                    self.items[j].z = rz2;

                    self.items[j].scale = per; //取值范围0.6 ~ 3
                    self.items[j].fontsize = Math.ceil(per * 2) + self.fontsize - 6;
                    self.items[j].alpha = 1.5 * per - 0.5;
                    self.items[j].element.style.zIndex = Math.ceil(per*10-5);
                }
                //self.items[j].element.style.fontSize = self.items[j].fontsize + "px";//字体变大小
                self.items[j].element.style.left = self.items[j].x + (self.box.offsetWidth - self.items[j].offsetWidth) / 2 + "px";
                self.items[j].element.style.top = self.items[j].y + (self.box.offsetHeight - self.items[j].offsetHeight) / 2 + "px";
                self.items[j].element.style.filter = "alpha(opacity=" + 100 * self.items[j].alpha + ")";
                self.items[j].element.style.opacity = self.items[j].alpha;
            }
        },

        _getItems: function () {
            var self = this,
                items = [],
                element = self.box.children, // children 全部是Element
                length = element.length,
                item;

            for (var i = 0; i < length; i++) {
                item = {};
                item.angle = {};
                item.angle.phi = Math.acos(-1 + (2 * i + 1) / length);
                item.angle.theta = Math.sqrt((length + 1) * Math.PI) * item.angle.phi;
                item.element = element[i];
                item.offsetWidth = item.element.offsetWidth;
                item.offsetHeight = item.element.offsetHeight;
                item.x = self.radius * 1.5 * Math.cos(item.angle.theta) * Math.sin(item.angle.phi);
                item.y = self.radius * 1.5 * Math.sin(item.angle.theta) * Math.sin(item.angle.phi);
                item.z = self.radius * 1.5 * Math.cos(item.angle.phi);
                item.element.style.left = item.x + (self.box.offsetWidth - item.offsetWidth) / 2 + "px";
                item.element.style.top = item.y + (self.box.offsetHeight - item.offsetHeight) / 2 + "px";
                items.push(item);
            }

            return items;   //单元素数组
        }



    };

    if (!doc.querySelectorAll) {//ie7不支持querySelectorAll，所以要重新定义
        doc.querySelectorAll = function (selectors) {
            var style = doc.createElement('style'), elements = [], element;
            doc.documentElement.firstChild.appendChild(style);
            doc._qsa = [];

            style.styleSheet.cssText = selectors + '{x-qsa:expression(document._qsa && document._qsa.push(this))}';
            window.scrollBy(0, 0);
            style.parentNode.removeChild(style);

            while (doc._qsa.length) {
                element = doc._qsa.shift();
                element.style.removeAttribute('x-qsa');
                elements.push(element);
            }
            doc._qsa = null;
            return elements;
        };
    }

    return function (options) { // factory
        options = options || {}; // 短路语法
        var selector = options.selector || '.tagcloud', //默认选择class为tagcloud的元素
            elements = doc.querySelectorAll(selector),
            instance = [];
        for (var index = 0, len = elements.length; index < len; index++) {
            options.element = elements[index];
            if (!!BubCloud._set(options.element)) {
                instance.push(new BubCloud(options));
            }
        }
        return instance;
    };

})(window, document);

/*3D标签云*/
Bubcloud({
    selector: ".Bubcloud",  //元素选择器
    fontsize: 10,       //基本字体大小, 单位px
    radius: 60,         //滚动半径, 单位px 页面宽度和高度的五分之一
    mspeed: "slow",   //滚动最大速度, 取值: slow, normal(默认), fast
    ispeed: "slow",   //滚动初速度, 取值: slow, normal(默认), fast
    direction: 0,     //初始滚动方向, 取值角度(顺时针360): 0对应top, 90对应left, 135对应right-bottom(默认)...
    keep: false        //鼠标移出组件后是否继续随鼠标滚动, 取值: false, true(默认) 对应 减速至初速度滚动, 随鼠标滚动
});
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所需css

.Bubcloud { width:100%; height:100%!important; overflow: hidden;
  position: relative;
}
.Bubcloud a {
  display: block;
  border-radius: 70%;
  color: #01ecee;
  font-weight: bold;
  font-size: 20px;
  text-decoration: none;
  text-align: center;
  display: flex;
  align-items: center;
  justify-content: center;
}
.bub1{
    width: 80px;
    height: 80px;
}
.bub2{
    width: 110px;
    height: 110px;
}
.bub3{
    width: 90px;
    height: 90px;
}
.bub4{
    width: 100px;
    height: 100px;
}
.bub5{
    width: 90px;
    height: 90px;
}
.bub01{border: 2px solid rgba(5,118,254,1);   box-shadow: inset 0 0 20px rgb(1, 236, 238);}
.bub02{border: 2px solid rgba(238,255,65,1);  box-shadow: inset 0 0 20px rgb(234, 246, 161);}
.bub03{border: 2px solid rgb(11, 229, 130);   box-shadow: inset 0 0 20px rgb(178, 252, 153);}
.bub04{border: 2px solid rgba(1,187,181,1);   box-shadow: inset 0 0 20px rgba(153, 225, 241, 0.6);}
.bub05{border: 2px solid rgb(165, 58, 241);   box-shadow: inset 0 0 20px rgb(226, 165, 250);}
<div class="Bubcloud">
	<!-- bo大小 co颜色 -->
	<a class="city bub1 bub01" href="https://news.qq.com/zt2020/page/feiyan.htm#/area?pool=hb" target="_blank">/填入数据/</a>
    <a class="city bub2 bub02" href="https://news.qq.com/zt2020/page/feiyan.htm#/area?pool=hb" target="_blank">/填入数据/</a>
    <a class="city bub3 bub03" href="https://news.qq.com/zt2020/page/feiyan.htm#/area?pool=hb" target="_blank">/填入数据/</a>
    <a class="city bub4 bub04" href="https://news.qq.com/zt2020/page/feiyan.htm#/area?pool=hb" target="_blank">/填入数据/</a>
    <a class="city bub5 bub05" href="https://news.qq.com/zt2020/page/feiyan.htm#/area?pool=hb" target="_blank">/填入数据/</a>
    <a class="city bub2 bub01" href="https://news.qq.com/zt2020/page/feiyan.htm#/area?pool=hb" target="_blank">/填入数据/</a>
</div>
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Ⅰ.Ⅱ. 说明及小Tips
在这里插入图片描述

⑥ 总结

	该项目采用Python + Flask + Echarts的一个湖北省疫情监控系统，web端页面具备很多便民链接，如点击市或省份名称可直达腾讯疫情各省市数据查询，
	右上角腾讯发布直达腾讯疫情，风险地区查询可以帮助返校生查询是否途径中高风险区，地图未有便民免费核酸检测点则可以查询核酸检测机构链接，
	检测看板区域地图查询下有武汉战役二维码以及武汉微邻里小程序二维码直达，大大提升用户体验感。
	文本时代已经悄然推出，取而代之的是可视化的时代，现实意义中，他不仅能更加直观表现数字的张力、影响力，还着重用户体验，能让人一眼看懂、简洁明了的界面符合大众的审美。
	新闻报道等主流媒体已经不再是最迅速的了解渠道，可视化具备新闻传播等渠道的及时、迅速的特点，还能将疫情趋势、防控通告、未来预测结合在同一个画面上，
	不仅仅是全国累计确诊、新增确诊、新增疑似病例、新增死亡病例、新增治愈病例等重要关键主要的数据，还包括用户向了解的各项指标、各项服务及相关产品，
	打造疫情生态一体化，在未来更加可能将健康码绿码、黄码、灰码率进行比对和组合使用，使疫情更加暴露在公众面前，而不再是冰冷的数据，而是结合数据生动形象的各种图表，
	提高数据的表现力，抗击疫情，我们一直在行动！
	我们学会专业知识并积极运用，本次成功采集数据并展示，感谢老师的倾力指导，我们会在学习和实践中继续进步！
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此项目展示完毕，文章不一定严谨，欢迎大佬指导！

最后祝大家学习愉快~。

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