├── .gitignore ├── GetData.py ├── README.md ├── redis_conn.py ├── run.py ├── static ├── area_echarts.js ├── area_echarts1.js ├── bg.jpg ├── china.js ├── comon0.css ├── echarts.min.js ├── head_bg.png ├── index.html ├── jquery.js ├── js.js ├── jt.png ├── lbx.png ├── loading.gif └── map.png └── templates └── bigdata.html /.gitignore: -------------------------------------------------------------------------------- 1 | *.swp 2 | *.pyc 3 | __pycache__/* 4 | .pytest_cache/* 5 | Results/ 6 | *.out 7 | Pipfile.lock 8 | *.log 9 | workspace.xml 10 | .idea 11 | -------------------------------------------------------------------------------- /GetData.py: -------------------------------------------------------------------------------- 1 | # encoding: utf-8 2 | 3 | """ 4 | @version: ?? 5 | @author: Andy 6 | @file: GetData.py 7 | @time: 20/2/4 20:57 8 | """ 9 | 10 | 11 | import requests 12 | from redis_conn import redis_conn_pool 13 | import json 14 | 15 | 16 | rd = redis_conn_pool() 17 | 18 | 19 | def get_ncovcity_data(): 20 | url = 'http://api.tianapi.com/txapi/ncovcity/index?key=d618ef42861ec00957dcacad6b69e8e0' 21 | res = requests.get(url).json() 22 | rd.set('ncovcity_data', json.dumps(res)) 23 | return res 24 | 25 | 26 | def get_ncov_data(): 27 | url = 'http://api.tianapi.com/txapi/ncov/index?key=d618ef42861ec00957dcacad6b69e8e0' 28 | res = requests.get(url).json() 29 | rd.set('ncov_data', json.dumps(res)) 30 | return res 31 | 32 | 33 | def get_trend_data(): 34 | headers = { 35 | 'user-agent': '', 36 | 'accept': '' 37 | } 38 | url = 'https://c.m.163.com/ug/api/wuhan/app/data/list-total' 39 | res = requests.get(url, headers=headers).json() 40 | rd.set('trend', json.dumps(res)) 41 | return res 42 | 43 | 44 | if __name__ == '__main__': 45 | trend = get_trend_data() 46 | # print(trend['data']['areaTree']) 47 | res = get_ncov_data() 48 | res2 = get_ncovcity_data() 49 | # print(res['newslist']) 50 | # # print(res['newslist'][0]['provinceName']) 51 | 52 | 53 | 54 | 55 | 56 | 57 | 58 | 59 | 60 | 61 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # bigdata 2 | -------------------------------------------------------------------------------- /redis_conn.py: -------------------------------------------------------------------------------- 1 | # encoding: utf-8 2 | 3 | """ 4 | @version: ?? 5 | @author: Andy 6 | @file: redis_conn.py 7 | @time: 20/2/10 12:20 8 | """ 9 | 10 | import redis 11 | 12 | 13 | def redis_conn_pool(): 14 | pool = redis.ConnectionPool(host='localhost', port=6379, decode_responses=True) 15 | rd = redis.Redis(connection_pool=pool) 16 | return rd -------------------------------------------------------------------------------- /run.py: -------------------------------------------------------------------------------- 1 | # encoding: utf-8 2 | 3 | """ 4 | @version: ?? 5 | @author: Andy 6 | @file: run.py 7 | @time: 20/2/7 14:49 8 | """ 9 | 10 | 11 | from flask import Flask, render_template, jsonify 12 | from redis_conn import redis_conn_pool 13 | import json 14 | 15 | 16 | app = Flask(__name__) 17 | rd = redis_conn_pool() 18 | 19 | 20 | @app.route('/') 21 | def index(): 22 | return render_template('bigdata.html') 23 | 24 | 25 | def get_chart1_data(): 26 | chart1_data_list = [] 27 | chart1_city_list = [] 28 | chart1_info = {} 29 | city_data = json.loads(rd.get('ncovcity_data')) 30 | for city in city_data['newslist'][:5]: 31 | chart1_dict = {} 32 | chart1_dict['name'] = city['provinceShortName'] 33 | chart1_dict['value'] = city['confirmedCount'] 34 | chart1_data_list.append(chart1_dict) 35 | chart1_city_list.append(city['provinceShortName']) 36 | chart1_info['x_name'] = chart1_city_list 37 | chart1_info['data'] = chart1_data_list 38 | return chart1_info 39 | 40 | 41 | def get_chart2_data(): 42 | chart2_info = {} 43 | chart2_dict = {} 44 | city_data = json.loads(rd.get('ncovcity_data')) 45 | for city in city_data['newslist']: 46 | chart2_dict[city['provinceShortName']] = city['deadCount'] 47 | 48 | chart2_data_list = sorted(chart2_dict.items(), key=lambda x: x[1], reverse=True) 49 | chart2_city_list = [x[0] for x in chart2_data_list[:5]] 50 | chart2_info['x_name'] = chart2_city_list 51 | chart2_info['data'] = chart2_data_list[:5] 52 | return chart2_info 53 | 54 | 55 | def get_chart3_1_data(): 56 | chart3_1_list = [] 57 | ncov_data = json.loads(rd.get('ncov_data')) 58 | ncov = ncov_data['newslist'][0]['desc'] 59 | confirm = {'value': ncov['confirmedCount'], 'name': '确诊'} 60 | dead = {'value': ncov['deadCount'], 'name': '死亡'} 61 | chart3_1_list.append(confirm) 62 | chart3_1_list.append(dead) 63 | return chart3_1_list 64 | 65 | 66 | def get_chart3_2_data(): 67 | chart3_2_list = [] 68 | ncov_data = json.loads(rd.get('ncov_data')) 69 | ncov = ncov_data['newslist'][0]['desc'] 70 | confirm = {'value': ncov['confirmedCount'], 'name': '确诊'} 71 | cured = {'value': ncov['curedCount'], 'name': '治愈'} 72 | chart3_2_list.append(confirm) 73 | chart3_2_list.append(cured) 74 | return chart3_2_list 75 | 76 | 77 | def get_chart3_3_data(): 78 | chart3_3_list = [] 79 | ncov_data = json.loads(rd.get('ncov_data')) 80 | ncov = ncov_data['newslist'][0]['desc'] 81 | cured = {'value': ncov['curedCount'], 'name': '治愈'} 82 | dead = {'value': ncov['deadCount'], 'name': '死亡'} 83 | chart3_3_list.append(cured) 84 | chart3_3_list.append(dead) 85 | return chart3_3_list 86 | 87 | 88 | def get_chart4_data(): 89 | chart4_info = {} 90 | chart4_date_list = [] 91 | chart4_confirm_list = [] 92 | chart4_suspect_list = [] 93 | chart4_heal_list = [] 94 | chart4_dead_list = [] 95 | trend_data = json.loads(rd.get('trend')) 96 | for data in trend_data['data']['chinaDayList']: 97 | chart4_date_list.append(data['date'].split('2020-')[1]) 98 | chart4_confirm_list.append(data['total']['confirm']) 99 | chart4_suspect_list.append(data['total']['suspect']) 100 | chart4_heal_list.append(data['total']['heal']) 101 | chart4_dead_list.append(data['total']['dead']) 102 | chart4_info['x_name'] = chart4_date_list[-20:] 103 | chart4_info['confirm'] = chart4_confirm_list[-20:] 104 | chart4_info['suspect'] = chart4_suspect_list[-20:] 105 | chart4_info['heal'] = chart4_heal_list[-20:] 106 | chart4_info['dead'] = chart4_dead_list[-20:] 107 | return chart4_info 108 | 109 | 110 | def get_chart5_data(): 111 | chart5_info = {} 112 | chart5_dict = {} 113 | city_data = json.loads(rd.get('ncovcity_data')) 114 | for city in city_data['newslist']: 115 | chart5_dict[city['provinceShortName']] = city['curedCount'] 116 | 117 | chart5_data_list = sorted(chart5_dict.items(), key=lambda x: x[1], reverse=True) 118 | chart5_city_list = [x[0] for x in chart5_data_list[:5]] 119 | chart5_info['x_name'] = chart5_city_list 120 | chart5_info['data'] = chart5_data_list[:5] 121 | return chart5_info 122 | 123 | 124 | def get_chart5_1_data(): 125 | chart5_1_info = {} 126 | chart5_1_dict = {} 127 | trend_data = json.loads(rd.get('trend')) 128 | for data in trend_data['data']['areaTree'][1:]: 129 | chart5_1_dict[data['name']] = data['total']['confirm'] 130 | chart5_1_data_list = sorted(chart5_1_dict.items(), key=lambda x: x[1], reverse=True) 131 | chart5_1_country_list = [x[0] for x in chart5_1_data_list[:5]] 132 | chart5_1_info['x_name'] = chart5_1_country_list 133 | chart5_1_info['data'] = chart5_1_data_list[:5] 134 | return chart5_1_info 135 | 136 | 137 | def get_chart_map_data(): 138 | map_chart_list = [] 139 | map_data = json.loads(rd.get('ncovcity_data')) 140 | for data in map_data['newslist']: 141 | map_chart_dict = {} 142 | map_chart_dict['name'] = data['provinceShortName'] 143 | map_chart_dict['value'] = data['confirmedCount'] 144 | map_chart_list.append(map_chart_dict) 145 | return map_chart_list 146 | 147 | 148 | def get_chart_city_map_data(): 149 | city_map_dict = {} 150 | map_data = json.loads(rd.get('trend')) 151 | city_data = map_data['data']['areaTree'][0] 152 | special = ['北京', '天津', '上海', '重庆', '香港', '澳门'] 153 | for data in city_data['children']: 154 | city_list = [] 155 | if data['name'] in special: 156 | for inner_data in data['children']: 157 | if '区' in inner_data['name']: 158 | city_list.append({'name': inner_data['name'], 'value': inner_data['total']['confirm']}) 159 | else: 160 | city_list.append({'name': inner_data['name'] + '区', 'value': inner_data['total']['confirm']}) 161 | else: 162 | for inner_data in data['children']: 163 | city_list.append({'name': inner_data['name'], 'value': inner_data['total']['confirm']}) 164 | city_map_dict[data['name']] = city_list 165 | return city_map_dict 166 | 167 | 168 | @app.route('/get_ncov_totalcount') 169 | def ncov_totalcount(): 170 | ncov_data = rd.get('ncov_data') 171 | result_ncov = json.loads(ncov_data) 172 | confirmedCount = result_ncov['newslist'][0]['desc']['confirmedCount'] 173 | suspectedCount = result_ncov['newslist'][0]['desc']['suspectedCount'] 174 | return jsonify({'confirmedCount': confirmedCount, 'suspectedCount': suspectedCount}) 175 | 176 | 177 | @app.route('/get_chart_data') 178 | def get_chart_data(): 179 | chart_info = {} 180 | chart1_data = get_chart1_data() 181 | chart2_data = get_chart2_data() 182 | chart4_data = get_chart4_data() 183 | chart5_data = get_chart5_data() 184 | chart5_1_data = get_chart5_1_data() 185 | chart3_1_data = get_chart3_1_data() 186 | chart3_2_data = get_chart3_2_data() 187 | chart3_3_data = get_chart3_3_data() 188 | chart_info['chart1'] = chart1_data 189 | chart_info['chart2'] = chart2_data 190 | chart_info['chart5'] = chart5_data 191 | chart_info['chart4'] = chart4_data 192 | chart_info['chart5_1'] = chart5_1_data 193 | chart_info['chart3_1'] = chart3_1_data 194 | chart_info['chart3_2'] = chart3_2_data 195 | chart_info['chart3_3'] = chart3_3_data 196 | return jsonify(chart_info) 197 | 198 | 199 | @app.route('/get_map_data') 200 | def get_map_data(): 201 | map_data = get_chart_map_data() 202 | city_data = get_chart_city_map_data() 203 | return jsonify({'country': map_data, 'city': city_data}) 204 | 205 | 206 | if __name__ == '__main__': 207 | app.run(debug=True, host='0.0.0.0') 208 | -------------------------------------------------------------------------------- /static/area_echarts.js: -------------------------------------------------------------------------------- 1 | 2 | $(function () { 3 | map(); 4 | function map() { 5 | // 基于准备好的dom，初始化echarts实例 6 | var myChart = echarts.init(document.getElementById('map_1')); 7 | var data = [ 8 | {name: '海门', value: 69}, 9 | {name: '鄂尔多斯', value: 12}, 10 | {name: '招远', value: 12}, 11 | {name: '舟山', value: 12}, 12 | {name: '齐齐哈尔', value: 14}, 13 | {name: '盐城', value: 15}, 14 | {name: '赤峰', value: 16}, 15 | {name: '青岛', value: 18}, 16 | {name: '乳山', value: 18}, 17 | {name: '金昌', value: 19}, 18 | {name: '泉州', value: 21}, 19 | {name: '莱西', value: 21}, 20 | {name: '日照', value: 21}, 21 | {name: '胶南', value: 22}, 22 | {name: '南通', value: 23}, 23 | {name: '拉萨', value: 24}, 24 | {name: '云浮', value: 24}, 25 | {name: '梅州', value: 25}, 26 | {name: '文登', value: 25}, 27 | {name: '上海', value: 25}, 28 | {name: '攀枝花', value: 25}, 29 | {name: '威海', value: 25}, 30 | {name: '承德', value: 25}, 31 | {name: '厦门', value: 26}, 32 | {name: '汕尾', value: 26}, 33 | {name: '潮州', value: 26}, 34 | {name: '丹东', value: 27}, 35 | {name: '太仓', value: 27}, 36 | {name: '曲靖', value: 27}, 37 | {name: '烟台', value: 28}, 38 | {name: '福州', value: 29}, 39 | {name: '瓦房店', value: 30}, 40 | {name: '即墨', value: 30}, 41 | {name: '抚顺', value: 31}, 42 | {name: '玉溪', value: 31}, 43 | {name: '张家口', value: 31}, 44 | {name: '阳泉', value: 31}, 45 | {name: '莱州', value: 32}, 46 | {name: '湖州', value: 32}, 47 | {name: '汕头', value: 32}, 48 | {name: '昆山', value: 33}, 49 | {name: '宁波', value: 33}, 50 | {name: '湛江', value: 33}, 51 | {name: '揭阳', value: 34}, 52 | {name: '荣成', value: 34}, 53 | {name: '连云港', value: 35}, 54 | {name: '葫芦岛', value: 350}, 55 | {name: '常熟', value: 36}, 56 | {name: '东莞', value: 36}, 57 | {name: '河源', value: 36}, 58 | {name: '淮安', value: 36}, 59 | {name: '泰州', value: 36}, 60 | {name: '南宁', value: 37}, 61 | {name: '营口', value: 37}, 62 | {name: '惠州', value: 37}, 63 | {name: '江阴', value: 37}, 64 | {name: '蓬莱', value: 37}, 65 | {name: '韶关', value: 38}, 66 | {name: '嘉峪关', value: 38}, 67 | {name: '广州', value: 38}, 68 | {name: '延安', value: 38}, 69 | {name: '太原', value: 39}, 70 | {name: '清远', value: 39}, 71 | {name: '中山', value: 39}, 72 | {name: '昆明', value: 39}, 73 | {name: '寿光', value: 40}, 74 | {name: '盘锦', value: 40}, 75 | {name: '长治', value: 41}, 76 | {name: '深圳', value: 41}, 77 | {name: '珠海', value: 42}, 78 | {name: '宿迁', value: 43}, 79 | {name: '咸阳', value: 43}, 80 | {name: '铜川', value: 44}, 81 | {name: '平度', value: 44}, 82 | {name: '佛山', value: 44}, 83 | {name: '海口', value: 44}, 84 | {name: '江门', value: 45}, 85 | {name: '章丘', value: 45}, 86 | {name: '肇庆', value: 46}, 87 | {name: '大连', value: 47}, 88 | {name: '临汾', value: 47}, 89 | {name: '吴江', value: 47}, 90 | {name: '石嘴山', value: 49}, 91 | {name: '沈阳', value: 50}, 92 | {name: '苏州', value: 50}, 93 | {name: '茂名', value: 50}, 94 | {name: '嘉兴', value: 51}, 95 | {name: '长春', value: 51}, 96 | {name: '胶州', value: 52}, 97 | {name: '银川', value: 52}, 98 | {name: '张家港', value: 52}, 99 | {name: '三门峡', value: 53}, 100 | {name: '锦州', value: 54}, 101 | {name: '南昌', value: 54}, 102 | {name: '柳州', value: 54}, 103 | {name: '三亚', value: 54}, 104 | {name: '自贡', value: 56}, 105 | {name: '吉林', value: 56}, 106 | {name: '阳江', value: 57}, 107 | {name: '泸州', value: 57}, 108 | {name: '西宁', value: 57}, 109 | {name: '宜宾', value: 58}, 110 | {name: '呼和浩特', value: 58}, 111 | {name: '成都', value: 58}, 112 | {name: '大同', value: 58}, 113 | {name: '镇江', value: 59}, 114 | {name: '桂林', value: 59}, 115 | {name: '张家界', value: 59}, 116 | {name: '宜兴', value: 59}, 117 | {name: '北海', value: 60}, 118 | {name: '西安', value: 61}, 119 | {name: '金坛', value: 62}, 120 | {name: '东营', value: 62}, 121 | {name: '牡丹江', value: 63}, 122 | {name: '遵义', value: 63}, 123 | {name: '绍兴', value: 63}, 124 | {name: '扬州', value: 64}, 125 | {name: '常州', value: 64}, 126 | {name: '潍坊', value: 65}, 127 | {name: '重庆', value: 66}, 128 | {name: '台州', value: 67}, 129 | {name: '南京', value: 67}, 130 | {name: '滨州', value: 70}, 131 | {name: '贵阳', value: 71}, 132 | {name: '无锡', value: 71}, 133 | {name: '本溪', value: 71}, 134 | {name: '克拉玛依', value: 72}, 135 | {name: '渭南', value: 72}, 136 | {name: '马鞍山', value: 72}, 137 | {name: '宝鸡', value: 72}, 138 | {name: '焦作', value: 75}, 139 | {name: '句容', value: 75}, 140 | {name: '北京', value: 79}, 141 | {name: '徐州', value: 79}, 142 | {name: '衡水', value: 80}, 143 | {name: '包头', value: 80}, 144 | {name: '绵阳', value: 80}, 145 | {name: '乌鲁木齐', value: 84}, 146 | {name: '枣庄', value: 84}, 147 | {name: '杭州', value: 84}, 148 | {name: '淄博', value: 85}, 149 | {name: '鞍山', value: 86}, 150 | {name: '溧阳', value: 86}, 151 | {name: '库尔勒', value: 86}, 152 | {name: '安阳', value: 90}, 153 | {name: '开封', value: 90}, 154 | {name: '济南', value: 92}, 155 | {name: '德阳', value: 93}, 156 | {name: '温州', value: 95}, 157 | {name: '九江', value: 96}, 158 | {name: '邯郸', value: 98}, 159 | {name: '临安', value: 99}, 160 | {name: '兰州', value: 99}, 161 | {name: '沧州', value: 100}, 162 | {name: '临沂', value: 103}, 163 | {name: '南充', value: 104}, 164 | {name: '天津', value: 105}, 165 | {name: '富阳', value: 106}, 166 | {name: '泰安', value: 112}, 167 | {name: '诸暨', value: 112}, 168 | {name: '郑州', value: 313}, 169 | {name: '哈尔滨', value: 114}, 170 | {name: '聊城', value: 116}, 171 | {name: '芜湖', value: 117}, 172 | {name: '唐山', value: 119}, 173 | {name: '平顶山', value: 119}, 174 | {name: '邢台', value: 119}, 175 | {name: '德州', value: 120}, 176 | {name: '济宁', value: 120}, 177 | {name: '荆州', value: 127}, 178 | {name: '宜昌', value: 130}, 179 | {name: '义乌', value: 132}, 180 | {name: '丽水', value: 133}, 181 | {name: '洛阳', value: 134}, 182 | {name: '秦皇岛', value: 136}, 183 | {name: '株洲', value: 143}, 184 | {name: '石家庄', value: 147}, 185 | {name: '莱芜', value: 148}, 186 | {name: '常德', value: 152}, 187 | {name: '保定', value: 153}, 188 | {name: '湘潭', value: 154}, 189 | {name: '金华', value: 157}, 190 | {name: '岳阳', value: 169}, 191 | {name: '长沙', value: 175}, 192 | {name: '衢州', value: 177}, 193 | {name: '廊坊', value: 193}, 194 | {name: '菏泽', value: 194}, 195 | {name: '合肥', value: 229}, 196 | {name: '武汉', value: 273}, 197 | {name: '大庆', value: 279} 198 | ]; 199 | var geoCoordMap = { 200 | '海门':[121.15,31.89], 201 | '鄂尔多斯':[109.781327,39.608266], 202 | '招远':[120.38,37.35], 203 | '舟山':[122.207216,29.985295], 204 | '齐齐哈尔':[123.97,47.33], 205 | '盐城':[120.13,33.38], 206 | '赤峰':[118.87,42.28], 207 | '青岛':[120.33,36.07], 208 | '乳山':[121.52,36.89], 209 | '金昌':[102.188043,38.520089], 210 | '泉州':[118.58,24.93], 211 | '莱西':[120.53,36.86], 212 | '日照':[119.46,35.42], 213 | '胶南':[119.97,35.88], 214 | '南通':[121.05,32.08], 215 | '拉萨':[91.11,29.97], 216 | '云浮':[112.02,22.93], 217 | '梅州':[116.1,24.55], 218 | '文登':[122.05,37.2], 219 | '上海':[121.48,31.22], 220 | '攀枝花':[101.718637,26.582347], 221 | '威海':[122.1,37.5], 222 | '承德':[117.93,40.97], 223 | '厦门':[118.1,24.46], 224 | '汕尾':[115.375279,22.786211], 225 | '潮州':[116.63,23.68], 226 | '丹东':[124.37,40.13], 227 | '太仓':[121.1,31.45], 228 | '曲靖':[103.79,25.51], 229 | '烟台':[121.39,37.52], 230 | '福州':[119.3,26.08], 231 | '瓦房店':[121.979603,39.627114], 232 | '即墨':[120.45,36.38], 233 | '抚顺':[123.97,41.97], 234 | '玉溪':[102.52,24.35], 235 | '张家口':[114.87,40.82], 236 | '阳泉':[113.57,37.85], 237 | '莱州':[119.942327,37.177017], 238 | '湖州':[120.1,30.86], 239 | '汕头':[116.69,23.39], 240 | '昆山':[120.95,31.39], 241 | '宁波':[121.56,29.86], 242 | '湛江':[110.359377,21.270708], 243 | '揭阳':[116.35,23.55], 244 | '荣成':[122.41,37.16], 245 | '连云港':[119.16,34.59], 246 | '葫芦岛':[120.836932,40.711052], 247 | '常熟':[120.74,31.64], 248 | '东莞':[113.75,23.04], 249 | '河源':[114.68,23.73], 250 | '淮安':[119.15,33.5], 251 | '泰州':[119.9,32.49], 252 | '南宁':[108.33,22.84], 253 | '营口':[122.18,40.65], 254 | '惠州':[114.4,23.09], 255 | '江阴':[120.26,31.91], 256 | '蓬莱':[120.75,37.8], 257 | '韶关':[113.62,24.84], 258 | '嘉峪关':[98.289152,39.77313], 259 | '广州':[113.23,23.16], 260 | '延安':[109.47,36.6], 261 | '太原':[112.53,37.87], 262 | '清远':[113.01,23.7], 263 | '中山':[113.38,22.52], 264 | '昆明':[102.73,25.04], 265 | '寿光':[118.73,36.86], 266 | '盘锦':[122.070714,41.119997], 267 | '长治':[113.08,36.18], 268 | '深圳':[114.07,22.62], 269 | '珠海':[113.52,22.3], 270 | '宿迁':[118.3,33.96], 271 | '咸阳':[108.72,34.36], 272 | '铜川':[109.11,35.09], 273 | '平度':[119.97,36.77], 274 | '佛山':[113.11,23.05], 275 | '海口':[110.35,20.02], 276 | '江门':[113.06,22.61], 277 | '章丘':[117.53,36.72], 278 | '肇庆':[112.44,23.05], 279 | '大连':[121.62,38.92], 280 | '临汾':[111.5,36.08], 281 | '吴江':[120.63,31.16], 282 | '石嘴山':[106.39,39.04], 283 | '沈阳':[123.38,41.8], 284 | '苏州':[120.62,31.32], 285 | '茂名':[110.88,21.68], 286 | '嘉兴':[120.76,30.77], 287 | '长春':[125.35,43.88], 288 | '胶州':[120.03336,36.264622], 289 | '银川':[106.27,38.47], 290 | '张家港':[120.555821,31.875428], 291 | '三门峡':[111.19,34.76], 292 | '锦州':[121.15,41.13], 293 | '南昌':[115.89,28.68], 294 | '柳州':[109.4,24.33], 295 | '三亚':[109.511909,18.252847], 296 | '自贡':[104.778442,29.33903], 297 | '吉林':[126.57,43.87], 298 | '阳江':[111.95,21.85], 299 | '泸州':[105.39,28.91], 300 | '西宁':[101.74,36.56], 301 | '宜宾':[104.56,29.77], 302 | '呼和浩特':[111.65,40.82], 303 | '成都':[104.06,30.67], 304 | '大同':[113.3,40.12], 305 | '镇江':[119.44,32.2], 306 | '桂林':[110.28,25.29], 307 | '张家界':[110.479191,29.117096], 308 | '宜兴':[119.82,31.36], 309 | '北海':[109.12,21.49], 310 | '西安':[108.95,34.27], 311 | '金坛':[119.56,31.74], 312 | '东营':[118.49,37.46], 313 | '牡丹江':[129.58,44.6], 314 | '遵义':[106.9,27.7], 315 | '绍兴':[120.58,30.01], 316 | '扬州':[119.42,32.39], 317 | '常州':[119.95,31.79], 318 | '潍坊':[119.1,36.62], 319 | '重庆':[106.54,29.59], 320 | '台州':[121.420757,28.656386], 321 | '南京':[118.78,32.04], 322 | '滨州':[118.03,37.36], 323 | '贵阳':[106.71,26.57], 324 | '无锡':[120.29,31.59], 325 | '本溪':[123.73,41.3], 326 | '克拉玛依':[84.77,45.59], 327 | '渭南':[109.5,34.52], 328 | '马鞍山':[118.48,31.56], 329 | '宝鸡':[107.15,34.38], 330 | '焦作':[113.21,35.24], 331 | '句容':[119.16,31.95], 332 | '北京':[116.46,39.92], 333 | '徐州':[117.2,34.26], 334 | '衡水':[115.72,37.72], 335 | '包头':[110,40.58], 336 | '绵阳':[104.73,31.48], 337 | '乌鲁木齐':[87.68,43.77], 338 | '枣庄':[117.57,34.86], 339 | '杭州':[120.19,30.26], 340 | '淄博':[118.05,36.78], 341 | '鞍山':[122.85,41.12], 342 | '溧阳':[119.48,31.43], 343 | '库尔勒':[86.06,41.68], 344 | '安阳':[114.35,36.1], 345 | '开封':[114.35,34.79], 346 | '济南':[117,36.65], 347 | '德阳':[104.37,31.13], 348 | '温州':[120.65,28.01], 349 | '九江':[115.97,29.71], 350 | '邯郸':[114.47,36.6], 351 | '临安':[119.72,30.23], 352 | '兰州':[103.73,36.03], 353 | '沧州':[116.83,38.33], 354 | '临沂':[118.35,35.05], 355 | '南充':[106.110698,30.837793], 356 | '天津':[117.2,39.13], 357 | '富阳':[119.95,30.07], 358 | '泰安':[117.13,36.18], 359 | '诸暨':[120.23,29.71], 360 | '郑州':[113.65,34.76], 361 | '哈尔滨':[126.63,45.75], 362 | '聊城':[115.97,36.45], 363 | '芜湖':[118.38,31.33], 364 | '唐山':[118.02,39.63], 365 | '平顶山':[113.29,33.75], 366 | '邢台':[114.48,37.05], 367 | '德州':[116.29,37.45], 368 | '济宁':[116.59,35.38], 369 | '荆州':[112.239741,30.335165], 370 | '宜昌':[111.3,30.7], 371 | '义乌':[120.06,29.32], 372 | '丽水':[119.92,28.45], 373 | '洛阳':[112.44,34.7], 374 | '秦皇岛':[119.57,39.95], 375 | '株洲':[113.16,27.83], 376 | '石家庄':[114.48,38.03], 377 | '莱芜':[117.67,36.19], 378 | '常德':[111.69,29.05], 379 | '保定':[115.48,38.85], 380 | '湘潭':[112.91,27.87], 381 | '金华':[119.64,29.12], 382 | '岳阳':[113.09,29.37], 383 | '长沙':[113,28.21], 384 | '衢州':[118.88,28.97], 385 | '廊坊':[116.7,39.53], 386 | '菏泽':[115.480656,35.23375], 387 | '合肥':[117.27,31.86], 388 | '武汉':[114.31,30.52], 389 | '大庆':[125.03,46.58] 390 | }; 391 | var convertData = function (data) { 392 | var res = []; 393 | for (var i = 0; i < data.length; i++) { 394 | var geoCoord = geoCoordMap[data[i].name]; 395 | if (geoCoord) { 396 | res.push({ 397 | name: data[i].name, 398 | value: geoCoord.concat(data[i].value) 399 | }); 400 | } 401 | } 402 | return res; 403 | }; 404 | 405 | option = { 406 | // backgroundColor: '#404a59', 407 | /*** title: { 408 | text: '实时行驶车辆', 409 | subtext: 'data from PM25.in', 410 | sublink: 'http://www.pm25.in', 411 | left: 'center', 412 | textStyle: { 413 | color: '#fff' 414 | } 415 | },**/ 416 | tooltip : { 417 | trigger: 'item', 418 | formatter: function (params) { 419 | if(typeof(params.value)[2] == "undefined"){ 420 | return params.name + ' : ' + params.value; 421 | }else{ 422 | return params.name + ' : ' + params.value[2]; 423 | } 424 | } 425 | }, 426 | 427 | geo: { 428 | map: 'china', 429 | label: { 430 | emphasis: { 431 | show: false 432 | } 433 | }, 434 | roam: false,//禁止其放大缩小 435 | itemStyle: { 436 | normal: { 437 | areaColor: '#4c60ff', 438 | borderColor: '#002097' 439 | }, 440 | emphasis: { 441 | areaColor: '#293fff' 442 | } 443 | } 444 | }, 445 | 446 | series : [ 447 | { 448 | name: '消费金额', 449 | type: 'scatter', 450 | coordinateSystem: 'geo', 451 | data: convertData(data), 452 | symbolSize: function (val) { 453 | return val[2] / 15; 454 | }, 455 | label: { 456 | normal: { 457 | formatter: '{b}', 458 | position: 'right', 459 | show: false 460 | }, 461 | emphasis: { 462 | show: true 463 | } 464 | }, 465 | itemStyle: { 466 | normal: { 467 | color: '#ffeb7b' 468 | } 469 | } 470 | } 471 | 472 | /** 473 | , 474 | { 475 | name: 'Top 5', 476 | type: 'effectScatter', 477 | coordinateSystem: 'geo', 478 | data: convertData(data.sort(function (a, b) { 479 | return b.value - a.value; 480 | }).slice(0, 6)), 481 | symbolSize: function (val) { 482 | return val[2] / 20; 483 | }, 484 | showEffectOn: 'render', 485 | rippleEffect: { 486 | brushType: 'stroke' 487 | }, 488 | hoverAnimation: true, 489 | label: { 490 | normal: { 491 | formatter: '{b}', 492 | position: 'right', 493 | show: true 494 | } 495 | }, 496 | itemStyle: { 497 | normal: { 498 | color: '#ffd800', 499 | shadowBlur: 10, 500 | shadowColor: 'rgba(0,0,0,.3)' 501 | } 502 | }, 503 | zlevel: 1 504 | } 505 | **/ 506 | ] 507 | }; 508 | 509 | myChart.setOption(option); 510 | window.addEventListener("resize",function(){ 511 | myChart.resize(); 512 | }); 513 | } 514 | 515 | }) 516 | 517 | -------------------------------------------------------------------------------- /static/area_echarts1.js: -------------------------------------------------------------------------------- 1 | $(function(){ 2 | var local_var = ''; 3 | $.ajax({ 4 | url: '/get_map_data', 5 | type: 'get', 6 | dataTpye: 'json', 7 | success: function (res) { 8 | local_var = res; 9 | mymap(res) 10 | } 11 | }); 12 | function mymap(data) { 13 | var MapContainer = document.getElementById('map_1'); 14 | var mapChart = echarts.init(MapContainer); 15 | // var parent = document.getElementById('map'); 16 | // if (document.getElementById('btn')) { 17 | // console.log(document.getElementById('btn')); 18 | // parent.removeChild(document.getElementById('btn')); 19 | // } 20 | // 34个省、市、自治区的名字拼音映射数组 21 |     var provinces = { 22 |         // 23个省 23 |         台湾: 'taiwan', 24 |         河北: 'hebei', 25 |         山西: 'shanxi', 26 |         辽宁: 'liaoning', 27 |         吉林: 'jilin', 28 |         黑龙江: 'heilongjiang', 29 |         江苏: 'jiangsu', 30 |         浙江: 'zhejiang', 31 |         安徽: 'anhui', 32 |         福建: 'fujian', 33 |         江西: 'jiangxi', 34 |         山东: 'shandong', 35 |         河南: 'henan', 36 |         湖北: 'hubei', 37 |         湖南: 'hunan', 38 |         广东: 'guangdong', 39 |         海南: 'hainan', 40 |         四川: 'sichuan', 41 |         贵州: 'guizhou', 42 |         云南: 'yunnan', 43 |         陕西: 'shanxi2', 44 |         甘肃: 'gansu', 45 |         青海: 'qinghai', 46 |         // 5个自治区 47 |         新疆: 'xinjiang', 48 |         广西: 'guangxi', 49 |         内蒙古: 'neimenggu', 50 |         宁夏: 'ningxia', 51 |         西藏: 'xizang', 52 |         // 4个直辖市 53 |         北京: 'beijing', 54 |         天津: 'tianjin', 55 |         上海: 'shanghai', 56 |         重庆: 'chongqing', 57 |         // 2个特别行政区 58 |         香港: 'xianggang', 59 |         澳门: 'aomen' 60 |       }; 61 | var special = ['北京', '天津', '上海', '重庆', '香港', '澳门']; 62 | var option = { 63 | title: { 64 | text: '全国疫情地图', 65 | left: 'center', 66 | textStyle: { 67 | color: '#fff', 68 | fontSize:'16' 69 | } 70 | }, 71 | tooltip: { 72 | trigger: 'item' 73 | }, 74 | visualMap: { 75 | min: 0, 76 | max: 1500, 77 | show: false, 78 | left: 'right', 79 | top: 'bottom', 80 | text: ['高', '低'], // 文本，默认为数值文本 81 | calculable: true, 82 | // color: ['#26cfe4', '#f2b600', '#ec5845'], 83 | textStyle: { 84 | color: '#fff' 85 | } 86 | }, 87 | series: [{ 88 | name: '确诊人数', 89 | type: 'map', 90 | aspectScale: 0.75, 91 | zoom: 1.2, 92 | mapType: 'china', 93 | roam: false, 94 | label: { 95 | show: true, 96 | normal: { 97 | show: true,//显示省份标签 98 | textStyle:{color:"#c71585"}//省份标签字体颜色 99 | }, 100 | emphasis: {//对应的鼠标悬浮效果 101 | show: false, 102 | textStyle:{color:"#800080"} 103 | } 104 | }, 105 | itemStyle: { 106 | normal: { 107 | borderWidth: .5,//区域边框宽度 108 | borderColor: '#002097',//区域边框颜色 109 | areaColor:"#4c60ff",//区域颜色 110 | }, 111 | emphasis: { 112 | borderWidth: .5, 113 | borderColor: '#4b0082', 114 | areaColor:"#ffdead", 115 | } 116 | }, 117 | data: data['country'] 118 | // data: [{'name': '湖北', 'value': 300}, {'name': '辽宁', 'value': 120}, {'name': '新疆', 'value': 13}, 119 | // {'name': '重启', 'value': 14}] 120 | 121 | } 122 | ] 123 | }; 124 | mapChart.setOption(option); 125 | 126 | // 使用刚指定的配置项和数据显示图表。 127 | mapChart.setOption(option); 128 | mapChart.on('click', function (params) {//点击事件 129 | if (params.name in provinces) { 130 | $.getJSON('https://data.jianshukeji.com/geochina/' + provinces[params.name] + '.json', function (jsondata) { 131 | echarts.registerMap(params.name, jsondata); 132 | var d = []; 133 |             for (var i = 0; i < jsondata.features.length; i++) { 134 |                 d.push({ 135 |                   name: jsondata.features[i].properties.name 136 | }) 137 |               } 138 | renderMap(params.name, data) 139 | }) 140 | } 141 | }) 142 | } 143 | 144 | function renderMap (map, data) { 145 |         // 初始化绘制省市地图配置 146 | var cityMapContainer = document.getElementById('map_1'); 147 | // var pos = document.getElementById('map'); 148 | // var btn = document.createElement('button'); 149 | // btn.innerText = "点击标题返回全国地图"; 150 | // // btn.type = 'button'; 151 | // btn.id = 'btn'; 152 | // pos.appendChild(btn); 153 | var myMapChart = echarts.init(cityMapContainer); 154 | option.title = { 155 | text: map + '疫情地图', 156 | subtext: '点击标题返回全国地图', 157 | // sublink: window.location.protocol+"//"+window.location.host, 158 | // subtarget: 'self', 159 | triggerEvent: true 160 | }; 161 | option.tooltip = { 162 | trigger: 'item' 163 | }; 164 | option.visualMap = { 165 | min: 0, 166 | max: 1500, 167 | show: false, 168 | left: 'right', 169 | top: 'bottom', 170 | text: ['高', '低'], // 文本，默认为数值文本 171 | calculable: true, 172 | // color: ['#26cfe4', '#f2b600', '#ec5845'], 173 | textStyle: { 174 | color: '#fff' 175 | } 176 | }; 177 |         option.series = [ 178 |           { 179 |             name: '确诊人数', 180 |             type: 'map', 181 |             mapType: map, 182 |             roam: false, 183 | data: data['city'][map], 184 | //             data: [{'name': '拉萨', 'value': 300}, {'name': '日喀则', 'value': 120}, {'name': '昌都', 'value': 13}, 185 | // {'name': '林芝', 'value': 14}, {'name': '那曲', 'value': 250}, {'name': '阿里', 'value': 100}, 186 | // {'name': '山南', 'value': 120}], 187 |             //  data: convertedData[0], 188 |             label: { 189 | show: true, 190 | emphasis: {//对应的鼠标悬浮效果 191 | show: false, 192 | textStyle:{color:"#800080"} 193 | } 194 | }, 195 |             itemStyle: { 196 | normal: { 197 | borderWidth: .5,//区域边框宽度 198 | borderColor: '#002097',//区域边框颜色 199 | areaColor:"#4c60ff",//区域颜色 200 | }, 201 | emphasis: { 202 | borderWidth: .5, 203 | borderColor: '#4b0082', 204 | areaColor:"#ffdead", 205 | } 206 | } 207 |           } 208 |         ]; 209 |         // 渲染地图 210 |         myMapChart.setOption(option); 211 | myMapChart.on('click', function (params) { 212 | if (params.componentType == 'title') { 213 | mymap(local_var) 214 | } 215 | }) 216 |     } 217 | } 218 | // $('.map').delegate('.btn', 'onclick', function () { 219 | // alert('你好，世界!'); 220 | // }), 221 | // $('.map').on('onclick', 'button', function () { 222 | // alert('你好，世界!'); 223 | // }) 224 | ); -------------------------------------------------------------------------------- /static/bg.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/zhouwei713/bigdata/96213bc6f4ed1cc29acc5cc9632b2ba44afb16ab/static/bg.jpg -------------------------------------------------------------------------------- /static/china.js: -------------------------------------------------------------------------------- 1 | (function (root, factory) { 2 | if (typeof define === 'function' && define.amd) { 3 | // AMD. Register as an anonymous module. 4 | define(['exports', 'echarts'], factory); 5 | } else if (typeof exports === 'object' && typeof exports.nodeName !== 'string') { 6 | // CommonJS 7 | factory(exports, require('echarts')); 8 | } else { 9 | // Browser globals 10 | factory({}, root.echarts); 11 | } 12 | }(this, function (exports, echarts) { 13 | var log = function (msg) { 14 | if (typeof console !== 'undefined') { 15 | console && console.error && console.error(msg); 16 | } 17 | } 18 | if (!echarts) { 19 | log('ECharts is not Loaded'); 20 | return; 21 | } 22 | if (!echarts.registerMap) { 23 | log('ECharts Map is not loaded') 24 | return; 25 | } 26 | echarts.registerMap('china1', 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28 | })); -------------------------------------------------------------------------------- /static/comon0.css: -------------------------------------------------------------------------------- 1 | @charset "utf-8"; 2 | /* CSS Document 3 | 更多精品模板请访问：http://www.bootstrapmb.com 4 | */ 5 | *{ 6 | -webkit-box-sizing: border-box; 7 | -moz-box-sizing: border-box; 8 | box-sizing: border-box} 9 | *,body{padding:0px; margin:0px;color: #222;font-family: "微软雅黑";} 10 | @font-face{font-family:electronicFont;src:url(../font/DS-DIGIT.TTF)} 11 | body{ background:#000d4a url(../static/bg.jpg) center top; background-size:cover;color:#666;font-size: .1rem;} 12 | li{ list-style-type:none;} 13 | table{} 14 | i{ margin:0px; padding:0px; text-indent:0px;} 15 | img{ border:none; max-width: 100%;} 16 | a{ text-decoration:none; color:#399bff;} 17 | a.active,a:focus{ outline:none!important; text-decoration:none;} 18 | ol,ul,p,h1,h2,h3,h4,h5,h6{ padding:0; margin:0} 19 | a:hover{ color:#06c; text-decoration: none!important} 20 | 21 | 22 | .clearfix:after, .clearfix:before { 23 | display: table; 24 | content: " " 25 | } 26 | .clearfix:after { 27 | clear: both 28 | } 29 | .pulll_left{float:left;} 30 | .pulll_right{float:right;} 31 | /*谷哥滚动条样式*/ 32 | 33 | ::-webkit-scrollbar {width:5px;height:5px;position:absolute} 34 | ::-webkit-scrollbar-thumb {background-color:#5bc0de} 35 | ::-webkit-scrollbar-track {background-color:#ddd} 36 | 37 | /***/ 38 | .canvas{position: absolute; width:100%; left: 0; top: 0; height: 99%; z-index: 1;} 39 | 40 | .allnav{height: calc(100% - 30px);} 41 | .loading{position:fixed; left:0; top:0; font-size:18px; z-index:100000000;width:100%; height:100%; background:#1a1a1c; text-align:center;} 42 | .loadbox{position:absolute; width:160px;height:150px; color: #aaa; left:50%; top:50%; margin-top:-100px; margin-left:-75px;} 43 | .loadbox img{ margin:10px auto; display:block; width:40px;} 44 | 45 | .copyright{ background:rgba(19,31,64,.32); border: 1px solid rgba(255,255,255,.05); line-height:.5rem; text-align: center; padding-right: 15px; bottom: 0; color:rgba(255,255,255,.7); font-size: .16rem; } 46 | 47 | .head{ height:1.05rem; background: url(../static/head_bg.png) no-repeat center center; background-size: 100% 100%; position: relative; z-index: 100;} 48 | .head h1{ color:#fff; text-align: center; font-size: .4rem; line-height:.8rem;} 49 | .head h1 img{ width:1.5rem; display: inline-block; vertical-align: middle; margin-right: .2rem} 50 | .weather{ position:absolute; right:.3rem; top:0; line-height: .75rem;} 51 | .weather img{ width:.37rem; display: inline-block; vertical-align: middle;} 52 | .weather span{color:rgba(255,255,255,.7); font-size: .18rem; padding-right: .1rem;} 53 | .mainbox{ padding:.1rem .1rem 0rem .1rem;} 54 | .mainbox>ul{} 55 | .mainbox>ul>li{ float: left; padding: 0 .1rem} 56 | 57 | .mainbox>ul>li{ width: 30%} 58 | .mainbox>ul>li:nth-child(2){ width: 40%;padding: 0} 59 | 60 | .boxall{ border: 1px solid rgba(25,186,139,.17); padding:0 .2rem .4rem .15rem; background: rgba(255,255,255,.04) url(../images/line.png); background-size: 100% auto; position: relative; margin-bottom: .15rem; z-index: 10;} 61 | .boxall:before, 62 | .boxall:after{ position:absolute; width: .1rem; height: .1rem; content: ""; border-top: 2px solid #02a6b5; top: 0;} 63 | .boxall:before,.boxfoot:before{border-left: 2px solid #02a6b5;left: 0;} 64 | .boxall:after,.boxfoot:after{border-right: 2px solid #02a6b5; right: 0;} 65 | .alltitle{ font-size:.2rem; color:#fff; text-align: center; line-height: .5rem;} 66 | 67 | .boxfoot{ position:absolute; bottom: 0; width: 100%; left: 0;} 68 | .boxfoot:before, 69 | .boxfoot:after{ position:absolute; width: .1rem; height: .1rem; content: "";border-bottom: 2px solid #02a6b5; bottom: 0;} 70 | 71 | .bar{background:rgba(101,132,226,.1); padding: .15rem;} 72 | .barbox li,.barbox2 li{ width:50%; text-align: center; position: relative; z-index: 100;} 73 | .barbox:before, 74 | .barbox:after{ position:absolute; width: .3rem; height: .1rem; content: ""; } 75 | .barbox:before{border-left: 2px solid #02a6b5;left: 0;border-top: 2px solid #02a6b5; } 76 | .barbox:after{border-right: 2px solid #02a6b5; right: 0; bottom: 0;border-bottom: 2px solid #02a6b5; } 77 | 78 | .barbox li:first-child:before{ position:absolute; content: ""; height:50%; width: 1px; background: rgba(255,255,255,.2); right: 0; top: 25%;} 79 | 80 | .barbox{ border: 1px solid rgba(25,186,139,.17); position: relative;} 81 | .barbox li{ font-size: .7rem; color: #ffeb7b; padding: .05rem 0; font-family:electronicFont; font-weight: bold;} 82 | .barbox2 li{ font-size: .19rem; color:rgba(255,255,255,.7); padding-top: .1rem;} 83 | 84 | .map{ position:relative; height: 7.2rem; z-index: 9;} 85 | .map4{ width: 200%; height:7rem; position: relative; left: -50%; top: 4%; margin-top: .2rem; z-index: 5;} 86 | .map1,.map2,.map3{ position:absolute; opacity: .5} 87 | .map1{ width:6.43rem; z-index: 2;top:.45rem; left: .7rem; animation: myfirst2 15s infinite linear;} 88 | .map2{ width:5.66rem; top:.85rem; left:1.2rem; z-index: 3; opacity: 0.2; animation: myfirst 10s infinite linear;} 89 | .map3{ width:5.18rem; top:1.07rem; left: 1.4rem; z-index: 1;} 90 | 91 | 92 | 93 | 94 | 95 | .tabs { text-align: center; padding: .1rem 0 0 0;} 96 | .tabs a { 97 | position: relative; 98 | display: inline-block; 99 | margin-left: 1px; 100 | padding:.05rem .2rem; 101 | color: #898989; 102 | transition: all .3s ease-out 0s; 103 | font-size: 14px; 104 | } 105 | .tabs li{ display:inline-block;} 106 | .tabs a:after { 107 | position: absolute; 108 | width: 1px; 109 | height: 10px; 110 | background-color: rgba(255,255,255,.1); 111 | content: ''; 112 | margin-left:0; right:-1px; margin-top: 7px; 113 | 114 | 115 | } 116 | .tabs li a.active {border: 1px solid rgba(25,186,139,.17); background: rgba(255,255,255,.05); color:#fff;} 117 | 118 | .tit02{ text-align:center; margin: .1rem 0; position: relative} 119 | .tit02 span{border: 1px solid rgba(25,186,139,.17); letter-spacing: 2px; padding: .01rem .2rem; background: rgba(255,255,255,.05); font-size: .18rem; color: #49bcf7;} 120 | .tit02:before,.tit02:after{ position:absolute; width:26%; height: 1px;background: rgba(25,186,139,.2); content: ""; top: .12rem;} 121 | .tit02:after{ right:0;} 122 | .tit02:before{ left:0;} 123 | 124 | .wrap{ height:2.54rem; overflow: hidden;} 125 | .wrap li{ line-height:.42rem; height:.42rem; font-size: .18rem; text-indent: .24rem; margin-bottom: .1rem; } 126 | .wrap li p{border: 1px solid rgba(25,186,139,.17);color: rgba(255,255,255,.6); } 127 | .sy{ float:left; width: 33%; height:95%; margin-top: .25rem;} 128 | 129 | 130 | .adduser{ height:1.5rem; overflow: hidden;} 131 | .adduser li{height:.5rem;} 132 | .adduser img{ width: .40rem; border-radius: .5rem; margin-right: .1rem; display: inline-block; vertical-align: middle;} 133 | .adduser span{ line-height:.5rem; font-size: .18rem;color: rgba(255,255,255,.6); } 134 | 135 | .sycm ul{ margin-left:-.5rem;margin-right:-.5rem; padding: .16rem 0;} 136 | .sycm li{ float: left; width: 33.33%; text-align: center; position: relative} 137 | .sycm li:before{ position:absolute; content: ""; height:30%; width: 1px; background: rgba(255,255,255,.1); right: 0; top: 15%;} 138 | .sycm li:last-child:before{ width: 0;} 139 | 140 | .sycm li h2{ font-size:.3rem; color: #c5ccff;} 141 | .sycm li span{ font-size:.18rem; color: #fff; opacity: .5;} 142 | 143 | @keyframes myfirst2 144 | { 145 | from {transform: rotate(0deg);} 146 | to {transform: rotate(359deg);} 147 | } 148 | 149 | @keyframes myfirst 150 | { 151 | from {transform: rotate(0deg);} 152 | to {transform: rotate(-359deg);} 153 | } 154 | 155 | 156 | /*Plugin CSS*/ 157 | .str_wrap { 158 | overflow:hidden; 159 | width:100%; 160 | position:relative; 161 | -moz-user-select: none; 162 | -khtml-user-select: none; 163 | user-select: none; 164 | white-space:nowrap; 165 | } 166 | 167 | 168 | .str_move { 169 | white-space:nowrap; 170 | position:absolute; 171 | top:0; 172 | left:0; 173 | cursor:move; 174 | } 175 | .str_move_clone { 176 | display:inline-block; 177 | vertical-align:top; 178 | position:absolute; 179 | left:100%; 180 | top:0; 181 | } 182 | .str_vertical .str_move_clone { 183 | left:0; 184 | top:100%; 185 | } 186 | .str_down .str_move_clone { 187 | left:0; 188 | bottom:100%; 189 | } 190 | .str_vertical .str_move, 191 | .str_down .str_move { 192 | white-space:normal; 193 | width:100%; 194 | } 195 | .str_static .str_move, 196 | .no_drag .str_move, 197 | .noStop .str_move{ 198 | cursor:inherit; 199 | } 200 | .str_wrap img { 201 | max-width:none !important; 202 | } 203 | -------------------------------------------------------------------------------- /static/head_bg.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/zhouwei713/bigdata/96213bc6f4ed1cc29acc5cc9632b2ba44afb16ab/static/head_bg.png -------------------------------------------------------------------------------- /static/index.html: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | 20 | 21 | 22 | 23 | 24 | 25 | 26 | 355 | 356 |
-------------------------------------------------------------------------------- /static/js.js: -------------------------------------------------------------------------------- 1 |  2 | $(function () { 3 | $.ajax({ 4 | url: '/get_chart_data', 5 | type: 'get', 6 | dataType: 'json', 7 | success: function (res) { 8 | echarts_1(res['chart1']); 9 | echarts_2(res['chart2']); 10 | echarts_5(res['chart5']); 11 | echarts_4(res['chart4']); 12 | echarts_5_1(res['chart5_1']); 13 | echarts_31(res['chart3_1']); 14 | echarts_32(res['chart3_2']); 15 | echarts_33(res['chart3_3']) 16 | } 17 | }); 18 | //echarts_1(); 19 | //echarts_2(); 20 | //echarts_4(); 21 | // echarts_31(); 22 | // echarts_32(); 23 | // echarts_33(); 24 | //echarts_5(); 25 | //echarts_6(); 26 | function echarts_1(data) { 27 | // 基于准备好的dom，初始化echarts实例 28 | var myChart = echarts.init(document.getElementById('echart1')); 29 | 30 | option = { 31 | // backgroundColor: '#00265f', 32 | tooltip: { 33 | trigger: 'axis', 34 | axisPointer: { 35 | type: 'shadow' 36 | } 37 | }, 38 | grid: { 39 | left: '0%', 40 | top:'10px', 41 | right: '0%', 42 | bottom: '4%', 43 | containLabel: true 44 | }, 45 | xAxis: [{ 46 | type: 'category', 47 | data: data['x_name'], 48 | //data: ['湖北', '广东', '浙江', '河南', '湖南'], 49 | axisLine: { 50 | show: true, 51 | lineStyle: { 52 | color: "rgba(255,255,255,.1)", 53 | width: 1, 54 | type: "solid" 55 | }, 56 | }, 57 | 58 | axisTick: { 59 | show: false 60 | }, 61 | axisLabel: { 62 | interval: 0, 63 | // rotate:50, 64 | show: true, 65 | splitNumber: 15, 66 | textStyle: { 67 | color: "rgba(255,255,255,.6)", 68 | fontSize: '12', 69 | }, 70 | }, 71 | }], 72 | yAxis: [{ 73 | type: 'value', 74 | axisLabel: { 75 | //formatter: '{value} %' 76 | show:true, 77 | textStyle: { 78 | color: "rgba(255,255,255,.6)", 79 | fontSize: '12', 80 | }, 81 | }, 82 | axisTick: { 83 | show: false, 84 | }, 85 | axisLine: { 86 | show: true, 87 | lineStyle: { 88 | color: "rgba(255,255,255,.1 )", 89 | width: 1, 90 | type: "solid" 91 | }, 92 | }, 93 | splitLine: { 94 | lineStyle: { 95 | color: "rgba(255,255,255,.1)", 96 | } 97 | } 98 | }], 99 | series: [ 100 | { 101 | type: 'bar', 102 | data: data['data'], 103 | // data: [ 104 | // ('湖北', 300), 105 | // ('广东', 250), 106 | // ('浙江', 200), 107 | // ('河南', 150), 108 | // ('湖南', 100) 109 | // ], 110 | barWidth:'35%', //柱子宽度 111 | // barGap: 1, //柱子之间间距 112 | itemStyle: { 113 | normal: { 114 | color:'#d5110d', 115 | opacity: 1, 116 | barBorderRadius: 5, 117 | } 118 | } 119 | } 120 | 121 | ] 122 | }; 123 | 124 | // 使用刚指定的配置项和数据显示图表。 125 | myChart.setOption(option); 126 | window.addEventListener("resize",function(){ 127 | myChart.resize(); 128 | }); 129 | } 130 | function echarts_2(data) { 131 | // 基于准备好的dom，初始化echarts实例 132 | var myChart = echarts.init(document.getElementById('echart2')); 133 | 134 | option = { 135 | // backgroundColor: '#00265f', 136 | tooltip: { 137 | trigger: 'axis', 138 | axisPointer: { type: 'shadow'} 139 | }, 140 | grid: { 141 | left: '0%', 142 | top:'10px', 143 | right: '0%', 144 | bottom: '4%', 145 | containLabel: true 146 | }, 147 | xAxis: [{ 148 | type: 'category', 149 | //data: ['浙江', '上海', '江苏', '广东', '北京', '深圳', '安徽'], 150 | data: data['x_name'], 151 | axisLine: { 152 | show: true, 153 | lineStyle: { 154 | color: "rgba(255,255,255,.1)", 155 | width: 1, 156 | type: "solid" 157 | }, 158 | }, 159 | 160 | axisTick: { 161 | show: false, 162 | }, 163 | axisLabel: { 164 | interval: 0, 165 | // rotate:50, 166 | show: true, 167 | splitNumber: 15, 168 | textStyle: { 169 | color: "rgba(255,255,255,.6)", 170 | fontSize: '12', 171 | }, 172 | }, 173 | }], 174 | yAxis: [{ 175 | type: 'value', 176 | axisLabel: { 177 | //formatter: '{value} %' 178 | show:true, 179 | textStyle: { 180 | color: "rgba(255,255,255,.6)", 181 | fontSize: '12', 182 | }, 183 | }, 184 | axisTick: { 185 | show: false, 186 | }, 187 | axisLine: { 188 | show: true, 189 | lineStyle: { 190 | color: "rgba(255,255,255,.1 )", 191 | width: 1, 192 | type: "solid" 193 | }, 194 | }, 195 | splitLine: { 196 | lineStyle: { 197 | color: "rgba(255,255,255,.1)", 198 | } 199 | } 200 | }], 201 | series: [ 202 | { 203 | 204 | type: 'bar', 205 | //data: [1500, 1200, 600, 200, 300, 300, 900], 206 | data: data['data'], 207 | barWidth:'35%', //柱子宽度 208 | // barGap: 1, //柱子之间间距 209 | itemStyle: { 210 | normal: { 211 | color:'#d2d1d8', 212 | opacity: 1, 213 | barBorderRadius: 5, 214 | } 215 | } 216 | } 217 | 218 | ] 219 | }; 220 | 221 | // 使用刚指定的配置项和数据显示图表。 222 | myChart.setOption(option); 223 | window.addEventListener("resize",function(){ 224 | myChart.resize(); 225 | }); 226 | } 227 | function echarts_5(data) { 228 | // 基于准备好的dom，初始化echarts实例 229 | var myChart = echarts.init(document.getElementById('echart5')); 230 | 231 | option = { 232 | // backgroundColor: '#00265f', 233 | tooltip: { 234 | trigger: 'axis', 235 | axisPointer: { 236 | type: 'shadow' 237 | } 238 | }, 239 | 240 | grid: { 241 | left: '0%', 242 | top:'10px', 243 | right: '0%', 244 | bottom: '2%', 245 | containLabel: true 246 | }, 247 | xAxis: [{ 248 | type: 'category', 249 | //data: ['浙江', '上海', '江苏', '广东', '北京', '深圳', '安徽', '四川'], 250 | data: data['x_name'], 251 | axisLine: { 252 | show: true, 253 | lineStyle: { 254 | color: "rgba(255,255,255,.1)", 255 | width: 1, 256 | type: "solid" 257 | }, 258 | }, 259 | 260 | axisTick: { 261 | show: false, 262 | }, 263 | axisLabel: { 264 | interval: 0, 265 | // rotate:50, 266 | show: true, 267 | splitNumber: 15, 268 | textStyle: { 269 | color: "rgba(255,255,255,.6)", 270 | fontSize: '12', 271 | }, 272 | }, 273 | }], 274 | yAxis: [{ 275 | type: 'value', 276 | axisLabel: { 277 | //formatter: '{value} %' 278 | show:true, 279 | textStyle: { 280 | color: "rgba(255,255,255,.6)", 281 | fontSize: '12', 282 | }, 283 | }, 284 | axisTick: { 285 | show: false, 286 | }, 287 | axisLine: { 288 | show: true, 289 | lineStyle: { 290 | color: "rgba(255,255,255,.1 )", 291 | width: 1, 292 | type: "solid" 293 | }, 294 | }, 295 | splitLine: { 296 | lineStyle: { 297 | color: "rgba(255,255,255,.1)", 298 | } 299 | } 300 | }], 301 | series: [{ 302 | type: 'bar', 303 | //data: [2, 3, 3, 9, 15, 12, 6, 4, 6, 7, 4, 10], 304 | data: data['data'], 305 | barWidth:'35%', //柱子宽度 306 | // barGap: 1, //柱子之间间距 307 | itemStyle: { 308 | normal: { 309 | color:'#00d887', 310 | opacity: 1, 311 | barBorderRadius: 5, 312 | } 313 | } 314 | } 315 | ] 316 | }; 317 | 318 | // 使用刚指定的配置项和数据显示图表。 319 | myChart.setOption(option); 320 | window.addEventListener("resize",function(){ 321 | myChart.resize(); 322 | }); 323 | } 324 | 325 | //add new echart chat 326 | function echarts_5_1(data) { 327 | // 基于准备好的dom，初始化echarts实例 328 | var myChart = echarts.init(document.getElementById('echart5_1')); 329 | 330 | option = { 331 | // backgroundColor: '#00265f', 332 | tooltip: { 333 | trigger: 'axis', 334 | axisPointer: { 335 | type: 'shadow' 336 | } 337 | }, 338 | 339 | grid: { 340 | left: '0%', 341 | top:'10px', 342 | right: '0%', 343 | bottom: '2%', 344 | containLabel: true 345 | }, 346 | xAxis: [{ 347 | type: 'category', 348 | //data: ['浙江', '上海', '江苏', '广东', '北京', '深圳', '安徽', '四川'], 349 | data: data['x_name'], 350 | axisLine: { 351 | show: true, 352 | lineStyle: { 353 | color: "rgba(255,255,255,.1)", 354 | width: 1, 355 | type: "solid" 356 | }, 357 | }, 358 | 359 | axisTick: { 360 | show: false, 361 | }, 362 | axisLabel: { 363 | interval: 0, 364 | // rotate:50, 365 | show: true, 366 | splitNumber: 15, 367 | textStyle: { 368 | color: "rgba(255,255,255,.6)", 369 | fontSize: '12', 370 | }, 371 | }, 372 | }], 373 | yAxis: [{ 374 | type: 'value', 375 | axisLabel: { 376 | //formatter: '{value} %' 377 | show:true, 378 | textStyle: { 379 | color: "rgba(255,255,255,.6)", 380 | fontSize: '12', 381 | }, 382 | }, 383 | axisTick: { 384 | show: false, 385 | }, 386 | axisLine: { 387 | show: true, 388 | lineStyle: { 389 | color: "rgba(255,255,255,.1 )", 390 | width: 1, 391 | type: "solid" 392 | }, 393 | }, 394 | splitLine: { 395 | lineStyle: { 396 | color: "rgba(255,255,255,.1)", 397 | } 398 | } 399 | }], 400 | series: [{ 401 | type: 'bar', 402 | //data: [2, 3, 3, 9, 15, 12, 6, 4, 6, 7, 4, 10], 403 | data: data['data'], 404 | barWidth:'35%', //柱子宽度 405 | // barGap: 1, //柱子之间间距 406 | itemStyle: { 407 | normal: { 408 | color:'#d86a11', 409 | opacity: 1, 410 | barBorderRadius: 5, 411 | } 412 | } 413 | } 414 | ] 415 | }; 416 | 417 | // 使用刚指定的配置项和数据显示图表。 418 | myChart.setOption(option); 419 | window.addEventListener("resize",function(){ 420 | myChart.resize(); 421 | }); 422 | } 423 | 424 | function echarts_4(data) { 425 | // 基于准备好的dom，初始化echarts实例 426 | var myChart = echarts.init(document.getElementById('echart4')); 427 | 428 | option = { 429 | tooltip: { 430 | trigger: 'axis', 431 | axisPointer: { 432 | lineStyle: { 433 | color: '#dddc6b' 434 | } 435 | } 436 | }, 437 | legend: { 438 | top:'0%', 439 | //data:['安卓','IOS'], 440 | textStyle: { 441 | color: 'rgba(255,255,255,.5)', 442 | fontSize:'12', 443 | } 444 | }, 445 | grid: { 446 | left: '10', 447 | top: '30', 448 | right: '10', 449 | bottom: '10', 450 | containLabel: true 451 | }, 452 | 453 | xAxis: [{ 454 | type: 'category', 455 | boundaryGap: false, 456 | axisLabel: { 457 | textStyle: { 458 | color: "rgba(255,255,255,.6)", 459 | fontSize:12, 460 | }, 461 | }, 462 | axisLine: { 463 | lineStyle: { 464 | color: 'rgba(255,255,255,.2)' 465 | } 466 | 467 | }, 468 | 469 | //data: ['01', '02', '03', '04', '05', '06', '07', '08', '09', '11', '12', '13', '14', '15', '16', '17', '18', '19', '20', '21', '22', '23', '24'] 470 | data: data['x_name'] 471 | }, { 472 | 473 | axisPointer: {show: false}, 474 | axisLine: { show: false}, 475 | position: 'bottom', 476 | offset: 20, 477 | 478 | 479 | 480 | }], 481 | 482 | yAxis: [{ 483 | type: 'value', 484 | axisTick: {show: false}, 485 | axisLine: { 486 | lineStyle: { 487 | color: 'rgba(255,255,255,.1)' 488 | } 489 | }, 490 | axisLabel: { 491 | textStyle: { 492 | color: "rgba(255,255,255,.6)", 493 | fontSize:12, 494 | }, 495 | }, 496 | 497 | splitLine: { 498 | lineStyle: { 499 | color: 'rgba(255,255,255,.1)' 500 | } 501 | } 502 | }], 503 | series: [ 504 | { 505 | name: '确诊', 506 | type: 'line', 507 | smooth: true, 508 | symbol: 'circle', 509 | symbolSize: 5, 510 | showSymbol: false, 511 | lineStyle: { 512 | 513 | normal: { 514 | color: '#d5110d', 515 | width: 2 516 | } 517 | }, 518 | areaStyle: { 519 | normal: { 520 | color: new echarts.graphic.LinearGradient(0, 0, 0, 1, [{ 521 | offset: 0, 522 | color: 'rgba(1, 132, 213, 0.4)' 523 | }, { 524 | offset: 0.8, 525 | color: 'rgba(1, 132, 213, 0.1)' 526 | }], false), 527 | shadowColor: 'rgba(0, 0, 0, 0.1)', 528 | } 529 | }, 530 | itemStyle: { 531 | normal: { 532 | color: '#d5110d', 533 | borderColor: 'rgba(221, 220, 107, .1)', 534 | borderWidth: 12 535 | } 536 | }, 537 | //data: [3, 4, 3, 4, 3, 4, 3, 6, 2, 4, 2, 4,3, 4, 3, 4, 3, 4, 3, 6, 2, 4, 2, 4] 538 | data: data['confirm'] 539 | 540 | }, 541 | { 542 | name: '疑似', 543 | type: 'line', 544 | smooth: true, 545 | symbol: 'circle', 546 | symbolSize: 5, 547 | showSymbol: false, 548 | lineStyle: { 549 | 550 | normal: { 551 | color: '#d8c812', 552 | width: 2 553 | } 554 | }, 555 | areaStyle: { 556 | normal: { 557 | color: new echarts.graphic.LinearGradient(0, 0, 0, 1, [{ 558 | offset: 0, 559 | color: 'rgba(0, 216, 135, 0.4)' 560 | }, { 561 | offset: 0.8, 562 | color: 'rgba(0, 216, 135, 0.1)' 563 | }], false), 564 | shadowColor: 'rgba(0, 0, 0, 0.1)', 565 | } 566 | }, 567 | itemStyle: { 568 | normal: { 569 | color: '#d8c812', 570 | borderColor: 'rgba(221, 220, 107, .1)', 571 | borderWidth: 12 572 | } 573 | }, 574 | //data: [5, 3, 5, 6, 1, 5, 3, 5, 6, 4, 6, 4, 8, 3, 5, 6, 1, 5, 3, 7, 2, 5, 1, 4] 575 | data: data['suspect'] 576 | 577 | }, 578 | { 579 | name: '治愈', 580 | type: 'line', 581 | smooth: true, 582 | symbol: 'circle', 583 | symbolSize: 5, 584 | showSymbol: false, 585 | lineStyle: { 586 | 587 | normal: { 588 | color: '#00d887', 589 | width: 2 590 | } 591 | }, 592 | areaStyle: { 593 | normal: { 594 | color: new echarts.graphic.LinearGradient(0, 0, 0, 1, [{ 595 | offset: 0, 596 | color: 'rgba(0, 216, 135, 0.4)' 597 | }, { 598 | offset: 0.8, 599 | color: 'rgba(0, 216, 135, 0.1)' 600 | }], false), 601 | shadowColor: 'rgba(0, 0, 0, 0.1)', 602 | } 603 | }, 604 | itemStyle: { 605 | normal: { 606 | color: '#00d887', 607 | borderColor: 'rgba(221, 220, 107, .1)', 608 | borderWidth: 12 609 | } 610 | }, 611 | //data: [5, 3, 5, 6, 1, 5, 3, 5, 6, 4, 6, 4, 8, 3, 5, 6, 1, 5, 3, 7, 2, 5, 1, 4] 612 | data: data['heal'] 613 | 614 | }, 615 | { 616 | name: '死亡', 617 | type: 'line', 618 | smooth: true, 619 | symbol: 'circle', 620 | symbolSize: 5, 621 | showSymbol: false, 622 | lineStyle: { 623 | 624 | normal: { 625 | color: '#d2d1d8', 626 | width: 2 627 | } 628 | }, 629 | areaStyle: { 630 | normal: { 631 | color: new echarts.graphic.LinearGradient(0, 0, 0, 1, [{ 632 | offset: 0, 633 | color: 'rgba(0, 216, 135, 0.4)' 634 | }, { 635 | offset: 0.8, 636 | color: 'rgba(0, 216, 135, 0.1)' 637 | }], false), 638 | shadowColor: 'rgba(0, 0, 0, 0.1)', 639 | } 640 | }, 641 | itemStyle: { 642 | normal: { 643 | color: '#d2d1d8', 644 | borderColor: 'rgba(221, 220, 107, .1)', 645 | borderWidth: 12 646 | } 647 | }, 648 | //data: [5, 3, 5, 6, 1, 5, 3, 5, 6, 4, 6, 4, 8, 3, 5, 6, 1, 5, 3, 7, 2, 5, 1, 4] 649 | data: data['dead'] 650 | 651 | }, 652 | 653 | ] 654 | 655 | }; 656 | 657 | // 使用刚指定的配置项和数据显示图表。 658 | myChart.setOption(option); 659 | window.addEventListener("resize",function(){ 660 | myChart.resize(); 661 | }); 662 | } 663 | function echarts_6() { 664 | // 基于准备好的dom，初始化echarts实例 665 | //var myChart = echarts.init(document.getElementById('echart6')); 666 | 667 | var dataStyle = { 668 | normal: { 669 | label: { 670 | show: false 671 | }, 672 | labelLine: { 673 | show: false 674 | }, 675 | //shadowBlur: 40, 676 | //shadowColor: 'rgba(40, 40, 40, 1)', 677 | } 678 | }; 679 | var placeHolderStyle = { 680 | normal: { 681 | color: 'rgba(255,255,255,.05)', 682 | label: {show: false,}, 683 | labelLine: {show: false} 684 | }, 685 | emphasis: { 686 | color: 'rgba(0,0,0,0)' 687 | } 688 | }; 689 | option = { 690 | color: ['#0f63d6', '#0f78d6', '#0f8cd6', '#0fa0d6', '#0fb4d6'], 691 | tooltip: { 692 | show: true, 693 | formatter: "{a} : {c} " 694 | }, 695 | legend: { 696 | itemWidth: 10, 697 | itemHeight: 10, 698 | itemGap: 12, 699 | bottom: '3%', 700 | 701 | data: ['浙江', '上海', '广东', '北京', '深圳'], 702 | textStyle: { 703 | color: 'rgba(255,255,255,.6)', 704 | } 705 | }, 706 | 707 | series: [ 708 | { 709 | name: '浙江', 710 | type: 'pie', 711 | clockWise: false, 712 | center: ['50%', '42%'], 713 | radius: ['59%', '70%'], 714 | itemStyle: dataStyle, 715 | hoverAnimation: false, 716 | data: [{ 717 | value: 80, 718 | name: '01' 719 | }, { 720 | value: 20, 721 | name: 'invisible', 722 | tooltip: {show: false}, 723 | itemStyle: placeHolderStyle 724 | }] 725 | }, 726 | { 727 | name: '上海', 728 | type: 'pie', 729 | clockWise: false, 730 | center: ['50%', '42%'], 731 | radius: ['49%', '60%'], 732 | itemStyle: dataStyle, 733 | hoverAnimation: false, 734 | data: [{ 735 | value: 70, 736 | name: '02' 737 | }, { 738 | value: 30, 739 | name: 'invisible', 740 | tooltip: {show: false}, 741 | itemStyle: placeHolderStyle 742 | }] 743 | }, 744 | { 745 | name: '广东', 746 | type: 'pie', 747 | clockWise: false, 748 | hoverAnimation: false, 749 | center: ['50%', '42%'], 750 | radius: ['39%', '50%'], 751 | itemStyle: dataStyle, 752 | data: [{ 753 | value: 65, 754 | name: '03' 755 | }, { 756 | value: 35, 757 | name: 'invisible', 758 | tooltip: {show: false}, 759 | itemStyle: placeHolderStyle 760 | }] 761 | }, 762 | { 763 | name: '北京', 764 | type: 'pie', 765 | clockWise: false, 766 | hoverAnimation: false, 767 | center: ['50%', '42%'], 768 | radius: ['29%', '40%'], 769 | itemStyle: dataStyle, 770 | data: [{ 771 | value: 60, 772 | name: '04' 773 | }, { 774 | value: 40, 775 | name: 'invisible', 776 | tooltip: {show: false}, 777 | itemStyle: placeHolderStyle 778 | }] 779 | }, 780 | { 781 | name: '深圳', 782 | type: 'pie', 783 | clockWise: false, 784 | hoverAnimation: false, 785 | center: ['50%', '42%'], 786 | radius: ['20%', '30%'], 787 | itemStyle: dataStyle, 788 | data: [{ 789 | value: 50, 790 | name: '05' 791 | }, { 792 | value: 50, 793 | name: 'invisible', 794 | tooltip: {show: false}, 795 | itemStyle: placeHolderStyle 796 | }] 797 | }, ] 798 | }; 799 | 800 | // 使用刚指定的配置项和数据显示图表。 801 | // myChart.setOption(option); 802 | // window.addEventListener("resize",function(){ 803 | // myChart.resize(); 804 | // }); 805 | } 806 | function echarts_31(data) { 807 | // 基于准备好的dom，初始化echarts实例 808 | var myChart = echarts.init(document.getElementById('fb1')); 809 | option = { 810 | 811 | title: [{ 812 | text: '确诊与死亡', 813 | left: 'center', 814 | textStyle: { 815 | color: '#fff', 816 | fontSize:'16' 817 | } 818 | 819 | }], 820 | tooltip: { 821 | trigger: 'item', 822 | formatter: "{a}
{b}: {c} ({d}%)", 823 | position:function(p){ //其中p为当前鼠标的位置 824 | return [p[0] + 10, p[1] - 10]; 825 | } 826 | }, 827 | legend: { 828 | 829 | top:'70%', 830 | itemWidth: 10, 831 | itemHeight: 10, 832 | data:['确诊','死亡'], 833 | textStyle: { 834 | color: 'rgba(255,255,255,.5)', 835 | fontSize:'12', 836 | } 837 | }, 838 | series: [ 839 | { 840 | name:'确诊与死亡', 841 | type:'pie', 842 | center: ['50%', '42%'], 843 | radius: ['40%', '60%'], 844 | color: ['#065aab', '#066eab'], 845 | label: {show:false}, 846 | labelLine: {show:false}, 847 | data: data 848 | // data:[ 849 | // {value:1, name:'确诊'}, 850 | // {value:4, name:'死亡'}, 851 | // ] 852 | } 853 | ] 854 | }; 855 | 856 | // 使用刚指定的配置项和数据显示图表。 857 | myChart.setOption(option); 858 | window.addEventListener("resize",function(){ 859 | myChart.resize(); 860 | }); 861 | } 862 | function echarts_32(data) { 863 | // 基于准备好的dom，初始化echarts实例 864 | var myChart = echarts.init(document.getElementById('fb2')); 865 | option = { 866 | 867 | title: [{ 868 | text: '确诊与治愈', 869 | left: 'center', 870 | textStyle: { 871 | color: '#fff', 872 | fontSize:'16' 873 | } 874 | 875 | }], 876 | tooltip: { 877 | trigger: 'item', 878 | formatter: "{a}
{b}: {c} ({d}%)", 879 | position:function(p){ //其中p为当前鼠标的位置 880 | return [p[0] + 10, p[1] - 10]; 881 | } 882 | }, 883 | legend: { 884 | 885 | top:'70%', 886 | itemWidth: 10, 887 | itemHeight: 10, 888 | data:['确诊','治愈'], 889 | textStyle: { 890 | color: 'rgba(255,255,255,.5)', 891 | fontSize:'12', 892 | } 893 | }, 894 | series: [ 895 | { 896 | name:'确诊与治愈', 897 | type:'pie', 898 | center: ['50%', '42%'], 899 | radius: ['40%', '60%'], 900 | color: ['#065aab', '#066eab'], 901 | label: {show:false}, 902 | labelLine: {show:false}, 903 | data: data 904 | // data:[ 905 | // {value:5, name:'电子商务'}, 906 | // {value:1, name:'教育'}, 907 | // ] 908 | } 909 | ] 910 | }; 911 | 912 | // 使用刚指定的配置项和数据显示图表。 913 | myChart.setOption(option); 914 | window.addEventListener("resize",function(){ 915 | myChart.resize(); 916 | }); 917 | } 918 | function echarts_33(data) { 919 | // 基于准备好的dom，初始化echarts实例 920 | var myChart = echarts.init(document.getElementById('fb3')); 921 | option = { 922 | title: [{ 923 | text: '死亡与治愈', 924 | left: 'center', 925 | textStyle: { 926 | color: '#fff', 927 | fontSize:'16' 928 | } 929 | 930 | }], 931 | tooltip: { 932 | trigger: 'item', 933 | formatter: "{a}
{b}: {c} ({d}%)", 934 | position:function(p){ //其中p为当前鼠标的位置 935 | return [p[0] + 10, p[1] - 10]; 936 | } 937 | }, 938 | legend: { 939 | top:'70%', 940 | itemWidth: 10, 941 | itemHeight: 10, 942 | data:['死亡','治愈'], 943 | textStyle: { 944 | color: 'rgba(255,255,255,.5)', 945 | fontSize:'12', 946 | } 947 | }, 948 | series: [ 949 | { 950 | name:'死亡与治愈', 951 | type:'pie', 952 | center: ['50%', '42%'], 953 | radius: ['40%', '60%'], 954 | color: ['#065aab', '#066eab'], 955 | label: {show:false}, 956 | labelLine: {show:false}, 957 | data: data 958 | // data:[ 959 | // {value:2, name:'汽车'}, 960 | // {value:3, name:'旅游'}, 961 | // ] 962 | } 963 | ] 964 | }; 965 | 966 | // 使用刚指定的配置项和数据显示图表。 967 | myChart.setOption(option); 968 | window.addEventListener("resize",function(){ 969 | myChart.resize(); 970 | }); 971 | } 972 | 973 | 974 | }) 975 | 976 | 977 | 978 | 979 | 980 | 981 | 982 | 983 | 984 | 985 | 986 | 987 | 988 | 989 | 990 | 991 | 992 | 993 | -------------------------------------------------------------------------------- /static/jt.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/zhouwei713/bigdata/96213bc6f4ed1cc29acc5cc9632b2ba44afb16ab/static/jt.png -------------------------------------------------------------------------------- /static/lbx.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/zhouwei713/bigdata/96213bc6f4ed1cc29acc5cc9632b2ba44afb16ab/static/lbx.png -------------------------------------------------------------------------------- /static/loading.gif: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/zhouwei713/bigdata/96213bc6f4ed1cc29acc5cc9632b2ba44afb16ab/static/loading.gif -------------------------------------------------------------------------------- /static/map.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/zhouwei713/bigdata/96213bc6f4ed1cc29acc5cc9632b2ba44afb16ab/static/map.png -------------------------------------------------------------------------------- /templates/bigdata.html: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | index 6 | 7 | 8 | 23 | 24 | 25 | 26 | 27 |
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全国新型冠状病毒肺炎情况大数据统计

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