style: map

index.html

@@ -47,7 +47,7 @@
             var h = dt.getHours();//获取时
             var m = dt.getMinutes();//获取分
             var s = dt.getSeconds();//获取秒
-            document.getElementById("showTime").innerHTML = y + "年" + mt + "月" + day + "-" + h + "时" + m + "分" + s + "秒";
+            document.getElementById("showTime").innerHTML = y + "年" + mt + "月" + day + "日 " + h + "时" + m + "分" + s + "秒";
             t = setTimeout(time, 1000); //设定定时器，循环运行
         }
 

web/data/data.js

@@ -113,6 +113,165 @@ const Chart4_Data = {
 
 const TMP_Data = 23.7
 
+const TMP_ALL_DATA = [
+    {
+        "name": "奉节区",
+        "value": 24.8
+    },
+    {
+        "name": "涪陵区",
+        "value": 23.7
+    },
+    {
+        "name": "黔江区",
+        "value": 21.7
+    },
+    {
+        "name": "巴南区",
+        "value": 23.0
+    },
+    {
+        "name": "北碚区",
+        "value": 24.9
+    },
+    {
+        "name": "长寿区",
+        "value": 24.0
+    },
+    {
+        "name": "城口区",
+        "value": 21.8
+    },
+    {
+        "name": "大足区",
+        "value": 22.7
+    },
+    {
+        "name": "垫江区",
+        "value": 24.9
+    },
+    {
+        "name": "丰都区",
+        "value": 23.4
+    },
+    {
+        "name": "合川区",
+        "value": 23.9
+    },
+    {
+        "name": "江津区",
+        "value": 23.9
+    },
+    {
+        "name": "开州区",
+        "value": 24.6
+    },
+    {
+        "name": "梁平区",
+        "value": 25.1
+    },
+    {
+        "name": "彭水区",
+        "value": 23.3
+    },
+    {
+        "name": "荣昌区",
+        "value": 25.2
+    },
+    {
+        "name": "沙坪坝区",
+        "value": 24.7
+    },
+    {
+        "name": "石柱区",
+        "value": 22.5
+    },
+    {
+        "name": "铜梁区",
+        "value": 24.9
+    },
+    {
+        "name": "万盛区",
+        "value": 22.8
+    },
+    {
+        "name": "万州区",
+        "value": 23.0
+    },
+    {
+        "name": "巫山区",
+        "value": 22.7
+    },
+    {
+        "name": "巫溪区",
+        "value": 24.2
+    },
+    {
+        "name": "武隆区",
+        "value": 24.1
+    },
+    {
+        "name": "秀山区",
+        "value": 20.8
+    },
+    {
+        "name": "永川区",
+        "value": 25.1
+    },
+    {
+        "name": "酉阳区",
+        "value": 21.7
+    },
+    {
+        "name": "渝北区",
+        "value": 24.0
+    },
+    {
+        "name": "云阳区",
+        "value": 25.1
+    },
+    {
+        "name": "忠县区",
+        "value": 22.0
+    },
+    {
+        "name": "潼南区",
+        "value": 24.8
+    },
+    {
+        "name": "璧山区",
+        "value": 25.9
+    },
+    {
+        "name": "綦江区",
+        "value": 22.6
+    },
+    {
+        "name": "南川区",
+        "value": 24.4
+    },
+    {
+        "name": "渝中区",
+        "value": 28.0
+    },
+    {
+        "name": "大渡口区",
+        "value": 27.0
+    },
+    {
+        "name": "南岸区",
+        "value": 26.6
+    },
+    {
+        "name": "江北区",
+        "value": 27.1
+    },
+    {
+        "name": "九龙坡区",
+        "value": 28.0
+    },
+]
+
 const Chart5_Data = {
     "x": [
         "秀山",

web/data/main.py

@@ -7,7 +7,7 @@ from hum_now import hum_now
 from info import info
 from rain import rain, rain_all
 from temp_24 import tem_24
-from temp_now import tem_now, tem_avg
+from temp_now import tem_now, tem_avg, tem_all
 from wind import wind
 
 engine = create_engine("mysql://root:123456@localhost:3306/weather")  # 替换为您的数据库 URI
@@ -20,6 +20,7 @@ def main():
     tem_24(session)
     tem_now(session)
     tem_avg(session)
+    tem_all(session)
     hum_now(session)
     aqi_data(session)
     info(session)

web/data/temp_now.py

@@ -29,3 +29,18 @@ def tem_avg(session):
         js_file.write('const TMP_Data = ')
         js_file.write(str(round(data[0][0], 1)))
         js_file.write("\n\n")
+
+
+def tem_all(session):
+    query2 = text('SELECT city_name,temperature FROM tem_now_analyse')
+    data = session.execute(query2).fetchall()
+    data1 = []
+    for i in data:
+        data1.append({
+            "name": f"{i[0]}区",
+            "value": i[1],
+        })
+    with open('data.js', 'a', encoding='utf-8') as js_file:
+        js_file.write('const TMP_ALL_DATA = ')
+        js_file.write(json.dumps(data1, ensure_ascii=False, indent=4))
+        js_file.write("\n\n")

web/js/area_echarts.js

@@ -1,210 +1,20 @@
 $(function () {
+    const data = []
+    Chart6_Data.forEach((i) => {
+        data.push({
+            name: i.name,
+            value: i.value[0][1]
+        })
+    })
+    console.log(data);
+
     map();
 
     function map() {
         // 基于准备好的dom，初始化echarts实例
         var myChart = echarts.init(document.getElementById('map_1'));
-        data = [
-            {name: '北碚', value: 279},
-            {name: '城口', value: 12},
-            {name: '大足', value: 33},
-            {name: '垫江', value: 54}
-
-        ];
-        var geoCoordMap = {
-            '海门': [121.15, 31.89],
-            '鄂尔多斯': [109.781327, 39.608266],
-            '招远': [120.38, 37.35],
-            '舟山': [122.207216, 29.985295],
-            '齐齐哈尔': [123.97, 47.33],
-            '盐城': [120.13, 33.38],
-            '赤峰': [118.87, 42.28],
-            '青岛': [120.33, 36.07],
-            '乳山': [121.52, 36.89],
-            '金昌': [102.188043, 38.520089],
-            '泉州': [118.58, 24.93],
-            '莱西': [120.53, 36.86],
-            '日照': [119.46, 35.42],
-            '胶南': [119.97, 35.88],
-            '南通': [121.05, 32.08],
-            '拉萨': [91.11, 29.97],
-            '云浮': [112.02, 22.93],
-            '梅州': [116.1, 24.55],
-            '文登': [122.05, 37.2],
-            '上海': [121.48, 31.22],
-            '攀枝花': [101.718637, 26.582347],
-            '威海': [122.1, 37.5],
-            '承德': [117.93, 40.97],
-            '厦门': [118.1, 24.46],
-            '汕尾': [115.375279, 22.786211],
-            '潮州': [116.63, 23.68],
-            '丹东': [124.37, 40.13],
-            '太仓': [121.1, 31.45],
-            '曲靖': [103.79, 25.51],
-            '烟台': [121.39, 37.52],
-            '福州': [119.3, 26.08],
-            '瓦房店': [121.979603, 39.627114],
-            '即墨': [120.45, 36.38],
-            '抚顺': [123.97, 41.97],
-            '玉溪': [102.52, 24.35],
-            '张家口': [114.87, 40.82],
-            '阳泉': [113.57, 37.85],
-            '莱州': [119.942327, 37.177017],
-            '湖州': [120.1, 30.86],
-            '汕头': [116.69, 23.39],
-            '昆山': [120.95, 31.39],
-            '宁波': [121.56, 29.86],
-            '湛江': [110.359377, 21.270708],
-            '揭阳': [116.35, 23.55],
-            '荣成': [122.41, 37.16],
-            '连云港': [119.16, 34.59],
-            '葫芦岛': [120.836932, 40.711052],
-            '常熟': [120.74, 31.64],
-            '东莞': [113.75, 23.04],
-            '河源': [114.68, 23.73],
-            '淮安': [119.15, 33.5],
-            '泰州': [119.9, 32.49],
-            '南宁': [108.33, 22.84],
-            '营口': [122.18, 40.65],
-            '惠州': [114.4, 23.09],
-            '江阴': [120.26, 31.91],
-            '蓬莱': [120.75, 37.8],
-            '韶关': [113.62, 24.84],
-            '嘉峪关': [98.289152, 39.77313],
-            '广州': [113.23, 23.16],
-            '延安': [109.47, 36.6],
-            '太原': [112.53, 37.87],
-            '清远': [113.01, 23.7],
-            '中山': [113.38, 22.52],
-            '昆明': [102.73, 25.04],
-            '寿光': [118.73, 36.86],
-            '盘锦': [122.070714, 41.119997],
-            '长治': [113.08, 36.18],
-            '深圳': [114.07, 22.62],
-            '珠海': [113.52, 22.3],
-            '宿迁': [118.3, 33.96],
-            '咸阳': [108.72, 34.36],
-            '铜川': [109.11, 35.09],
-            '平度': [119.97, 36.77],
-            '佛山': [113.11, 23.05],
-            '海口': [110.35, 20.02],
-            '江门': [113.06, 22.61],
-            '章丘': [117.53, 36.72],
-            '肇庆': [112.44, 23.05],
-            '大连': [121.62, 38.92],
-            '临汾': [111.5, 36.08],
-            '吴江': [120.63, 31.16],
-            '石嘴山': [106.39, 39.04],
-            '沈阳': [123.38, 41.8],
-            '苏州': [120.62, 31.32],
-            '茂名': [110.88, 21.68],
-            '嘉兴': [120.76, 30.77],
-            '长春': [125.35, 43.88],
-            '胶州': [120.03336, 36.264622],
-            '银川': [106.27, 38.47],
-            '张家港': [120.555821, 31.875428],
-            '三门峡': [111.19, 34.76],
-            '锦州': [121.15, 41.13],
-            '南昌': [115.89, 28.68],
-            '柳州': [109.4, 24.33],
-            '三亚': [109.511909, 18.252847],
-            '自贡': [104.778442, 29.33903],
-            '吉林': [126.57, 43.87],
-            '阳江': [111.95, 21.85],
-            '泸州': [105.39, 28.91],
-            '西宁': [101.74, 36.56],
-            '宜宾': [104.56, 29.77],
-            '呼和浩特': [111.65, 40.82],
-            '成都': [104.06, 30.67],
-            '大同': [113.3, 40.12],
-            '镇江': [119.44, 32.2],
-            '桂林': [110.28, 25.29],
-            '张家界': [110.479191, 29.117096],
-            '宜兴': [119.82, 31.36],
-            '北海': [109.12, 21.49],
-            '西安': [108.95, 34.27],
-            '金坛': [119.56, 31.74],
-            '东营': [118.49, 37.46],
-            '牡丹江': [129.58, 44.6],
-            '遵义': [106.9, 27.7],
-            '绍兴': [120.58, 30.01],
-            '扬州': [119.42, 32.39],
-            '常州': [119.95, 31.79],
-            '潍坊': [119.1, 36.62],
-            '重庆': [106.54, 29.59],
-            '台州': [121.420757, 28.656386],
-            '南京': [118.78, 32.04],
-            '滨州': [118.03, 37.36],
-            '贵阳': [106.71, 26.57],
-            '无锡': [120.29, 31.59],
-            '本溪': [123.73, 41.3],
-            '克拉玛依': [84.77, 45.59],
-            '渭南': [109.5, 34.52],
-            '马鞍山': [118.48, 31.56],
-            '宝鸡': [107.15, 34.38],
-            '焦作': [113.21, 35.24],
-            '句容': [119.16, 31.95],
-            '北京': [116.46, 39.92],
-            '徐州': [117.2, 34.26],
-            '衡水': [115.72, 37.72],
-            '包头': [110, 40.58],
-            '绵阳': [104.73, 31.48],
-            '乌鲁木齐': [87.68, 43.77],
-            '枣庄': [117.57, 34.86],
-            '杭州': [120.19, 30.26],
-            '淄博': [118.05, 36.78],
-            '鞍山': [122.85, 41.12],
-            '溧阳': [119.48, 31.43],
-            '库尔勒': [86.06, 41.68],
-            '安阳': [114.35, 36.1],
-            '开封': [114.35, 34.79],
-            '济南': [117, 36.65],
-            '德阳': [104.37, 31.13],
-            '温州': [120.65, 28.01],
-            '九江': [115.97, 29.71],
-            '邯郸': [114.47, 36.6],
-            '临安': [119.72, 30.23],
-            '兰州': [103.73, 36.03],
-            '沧州': [116.83, 38.33],
-            '临沂': [118.35, 35.05],
-            '南充': [106.110698, 30.837793],
-            '天津': [117.2, 39.13],
-            '富阳': [119.95, 30.07],
-            '泰安': [117.13, 36.18],
-            '诸暨': [120.23, 29.71],
-            '郑州': [113.65, 34.76],
-            '哈尔滨': [126.63, 45.75],
-            '聊城': [115.97, 36.45],
-            '芜湖': [118.38, 31.33],
-            '唐山': [118.02, 39.63],
-            '平顶山': [113.29, 33.75],
-            '邢台': [114.48, 37.05],
-            '德州': [116.29, 37.45],
-            '济宁': [116.59, 35.38],
-            '荆州': [112.239741, 30.335165],
-            '宜昌': [111.3, 30.7],
-            '义乌': [120.06, 29.32],
-            '丽水': [119.92, 28.45],
-            '洛阳': [112.44, 34.7],
-            '秦皇岛': [119.57, 39.95],
-            '株洲': [113.16, 27.83],
-            '石家庄': [114.48, 38.03],
-            '莱芜': [117.67, 36.19],
-            '常德': [111.69, 29.05],
-            '保定': [115.48, 38.85],
-            '湘潭': [112.91, 27.87],
-            '金华': [119.64, 29.12],
-            '岳阳': [113.09, 29.37],
-            '长沙': [113, 28.21],
-            '衢州': [118.88, 28.97],
-            '廊坊': [116.7, 39.53],
-            '菏泽': [115.480656, 35.23375],
-            '合肥': [117.27, 31.86],
-            '武汉': [114.31, 30.52],
-            '大庆': [125.03, 46.58]
-        };
         // geoCoordMap = {};
-        geoCoordMap = {
+        var geoCoordMap = {
             '北碚': [106.50, 29.81],
             '城口': [108.6520475, 31.90676506],
             '大足': [105.7692868, 29.65392091],
@@ -253,7 +63,7 @@ $(function () {
         option = {
             // backgroundColor: '#404a59',
             title: {
-                text: '实时AQI',
+                text: '重庆市实时数据',
                 subtext: '来源：气象局',
                 sublink: 'https://gitee.com/iGaoWei/big-data-view',
                 left: 'center',
@@ -264,14 +74,20 @@ $(function () {
             tooltip: {
                 trigger: 'item',
                 formatter: function (params) {
+                    if (params.seriesIndex === 0) {
                         if (typeof (params.value)[2] == "undefined") {
                             return params.name + ' : ' + params.value;
                         } else {
-                        return params.name + ' : ' + params.value[2];
+                            return params.name + ' : AQI ' + params.value[2];
+                        }
+                    } else {
+                        if (isNaN(params.value)) {
+                            return "";
+                        }
+                        return params.name + ' : ' + params.value + " ℃";
                     }
                 }
             },
-
             geo: {
                 map: '重庆',
                 label: {
@@ -286,18 +102,44 @@ $(function () {
                         borderColor: '#002097'
                     },
                     emphasis: {
-                        areaColor: '#293fff'
+                        areaColor: "red", //鼠标选择区域颜色
-                    }
                     }
                 },
+            },
+            visualMap: {
+                seriesIndex: 1,
+                left: '30%',
+                min: 10,
+                max: 30,
+                inRange: {
+                    color: [
+                        '#313695',
+                        '#4575b4',
+                        '#74add1',
+                        '#abd9e9',
+                        '#e0f3f8',
+                        '#ffffbf',
+                        '#fee090',
+                        '#fdae61',
+                        '#f46d43',
+                        '#d73027',
+                        '#a50026'
+                    ]
+                },
+                text: ['High', 'Low'],
+                textStyle: { // 设置图例文字的样式
+                    color: '#fff' // 设置图例文字颜色为白色
+                },
+                calculable: true,
+            },
             series: [
                 {
-                    name: '消费金额',
+                    name: 'AQI',
                     type: 'scatter',
                     coordinateSystem: 'geo',
                     data: convertData(data),
                     symbolSize: function (val) {
-                        return val[2] / 15;
+                        return val[2] / 2;
                     },
                     label: {
                         normal: {
@@ -311,9 +153,16 @@ $(function () {
                     },
                     itemStyle: {
                         normal: {
-                            color: '#ffeb7b'
+                            color: '#06c8ab'
                         }
                     }
+                },
+                {
+                    geoIndex: 0,
+                    name: '温度',
+                    type: 'map',
+                    coordinateSystem: 'geo',
+                    data: TMP_ALL_DATA,
                 }
             ]
         };

web/js/chart2.js

@@ -9,10 +9,6 @@ function echarts_2() {
 
     // 指定图表的配置项和数据
     var option = {
-        // title: {
-        //     text: '2023年重庆市气温分布图',
-        //     subtext: '数据来源: 气象局'
-        // },
         tooltip: {
             trigger: 'axis',
             formatter: function (params) {

web/js/chart31.js

@@ -16,7 +16,7 @@ function echarts_31() {
         tooltip: {
             trigger: 'item',
             position: function (p) {   //其中p为当前鼠标的位置
-                return [p[0] + 60, p[1] - 100];
+                return [p[0] + 60, p[1] - 70];
             },
             formatter: function (params) {
                 var dataItem = data.find(item => item.name === params.name);
@@ -24,7 +24,7 @@ function echarts_31() {
 
                 dataItem.weather.forEach((v, index) => {
                     value += `${v}  `;
-                    if (index % 2 === 1) {
+                    if (index % 3 === 1) {
                         value += '<br>';
                     }
                 });

web/js/chart32.js

@@ -18,7 +18,7 @@ function echarts_32() {
         tooltip: {
             trigger: 'item',
             position: function (p) {   //其中p为当前鼠标的位置
-                return [p[0] + 60, p[1] - 10];
+                return [p[0] + 60, p[1] - 70];
             },
             formatter: function (params) {
                 var dataItem = data.find(item => item.name === params.name);
@@ -26,7 +26,7 @@ function echarts_32() {
 
                 dataItem.degree.forEach((v, index) => {
                     value += `${v}  `;
-                    if (index % 2 === 1) {
+                    if (index % 3 === 1) {
                         value += '<br>';
                     }
                 });

web/js/chart33.js

@@ -17,7 +17,7 @@ function echarts_33() {
         tooltip: {
             trigger: 'item',
             position: function (p) {   //其中p为当前鼠标的位置
-                return [p[0] + 10, p[1] - 10];
+                return [p[0] + 60, p[1] - 100];
             },
             formatter: function (params) {
                 var dataItem = data.find(item => item.name === params.name);
@@ -25,7 +25,10 @@ function echarts_33() {
 
                 dataItem.degree.forEach((v, index) => {
                     var detail = dataItem.detail[index];
-                    value += `${v}: ${detail} m/s <br>`;
+                    value += `${v}: ${detail} m/s  `;
+                    if (index % 2 === 1) {
+                        value += '<br>';
+                    }
                 });
 
                 return value; // 动态遍历数据显示地区、天气和百分比

web/js/chart6.js

@@ -113,8 +113,10 @@ function echarts_6() {
                     outOfRange: {
                         color: ['#999']
                     }
-                }
+                },
-
+                textStyle: { // 设置图例文字的样式
+                    color: '#fff' // 设置图例文字颜色为白色
+                },
             }
         ],
         series: series,

web/js/chongqing.js

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