数据爬取 使用Python来爬取数据，需要在pycharm中下载相应的插件。 import time import json import requests from datetime import datetime import pandas as pd import numpy as np def catch_data(): url = 'https://view.inews.qq.com/g2/getOnsInfo?name=disease_h5' reponse = requests.get(url=url).json() #返回数据字典 data = json.loads(reponse['data']) return data data = catch_data() data.keys() #print("字典所有的键为: %s" % data.keys()) # 数据集包括["国内总量","国内新增","更新时间","数据明细","每日数据","每日新增"] lastUpdateTime = data['lastUpdateTime'] chinaTotal = data['chinaTotal'] chinaAdd = data['chinaAdd'] #print(chinaTotal) #print(chinaAdd) # 数据明细，数据结构比较复杂，一步一步打印出来看，先明白数据结构 areaTree = data['areaTree'] # 国内数据 china_data = areaTree[0]['children'] china_list = [] for a in range(len(china_data)): province = china_data[a]['name'] province_list = china_data[a]['children'] for b in range(len(province_list)): city = province_list[b]['name'] total = province_list[b]['total'] today = province_list[b]['today'] china_dict = {} china_dict['province'] = province china_dict['city'] = city china_dict['total'] = total china_dict['today'] = today china_list.append(china_dict) china_data = pd.DataFrame(china_list) china_data.head() # 定义数据处理函数 def confirm(x): confirm = eval(str(x))['confirm'] return confirm def suspect(x): suspect = eval(str(x))['suspect'] return suspect def dead(x): dead = eval(str(x))['dead'] return dead def heal(x): heal = eval(str(x))['heal'] return heal # 函数映射 china_data['confirm'] = china_data['total'].map(confirm) china_data['suspect'] = china_data['total'].map(suspect) china_data['dead'] = china_data['total'].map(dead) china_data['heal'] = china_data['total'].map(heal) china_data['addconfirm'] = china_data['today'].map(confirm) china_data['addsuspect'] = china_data['today'].map(confirm) china_data['adddead'] = china_data['today'].map(confirm) china_data['addheal'] = china_data['today'].map(confirm) china_data = china_data[["province","city","confirm","suspect","dead","heal","addconfirm","addsuspect","adddead","addheal"]] china_data.head() global_data = pd.DataFrame(data['areaTree']) global_data['confirm'] = global_data['total'].map(confirm) global_data['suspect'] = global_data['total'].map(suspect) global_data['dead'] = global_data['total'].map(dead) global_data['heal'] = global_data['total'].map(heal) global_data['addconfirm'] = global_data['today'].map(confirm) global_data['addsuspect'] = global_data['today'].map(confirm) global_data['adddead'] = global_data['today'].map(confirm) global_data['addheal'] = global_data['today'].map(confirm) #world_name = pd.read_excel("世界各国中英文对照.xlsx") #global_data = pd.merge(global_data,world_name,left_on ="name",right_on = "中文",how="inner") #global_data = global_data[["name","英文","confirm","suspect","dead","heal","addconfirm","addsuspect","adddead","addheal"]] #global_data.head() chinaDayList = pd.DataFrame(data['chinaDayList']) #chinaDayList = chinaDayList[['date','confirm','suspect','dead','heal']] chinaDayList.head() chinaDayAddList = pd.DataFrame(data['chinaDayAddList']) #chinaDayAddList = chinaDayAddList[['date','confirm','suspect','dead','heal']] chinaDayAddList.head() from pyecharts.charts import * #导入所有图表 from pyecharts import options as opts #导入pyecharts的主题（如果不使用可以跳过） from pyecharts.globals import ThemeType total_pie = Pie(init_opts=opts.InitOpts(theme=ThemeType.WESTEROS,width = '500px',height ='350px')) #设置主题，和画布大小 total_pie.add("",[list(z) for z in zip(chinaTotal.keys(), chinaTotal.values())], center=["50%", "50%"], #图的位置 radius=[50, 80]) #内外径大小 total_pie.set_global_opts( title_opts=opts.TitleOpts(title="全国总量",subtitle=("截止"+lastUpdateTime))) total_pie.set_series_opts(label_opts=opts.LabelOpts(formatter="{c}")) #标签格式 total_pie.render_notebook() totaladd_pie = Pie(init_opts=opts.InitOpts(theme=ThemeType.WESTEROS,width = '500px',height ='350px')) #设置主题，和画布大小 totaladd_pie.add("",[list(z) for z in zip(chinaAdd.keys(), chinaAdd.values())], center=["50%", "50%"], radius=[50, 80]) totaladd_pie.set_global_opts( title_opts=opts.TitleOpts(title="昨日新增")) totaladd_pie.set_series_opts(label_opts=opts.LabelOpts(formatter="{c}")) #标签格式 totaladd_pie.render_notebook() world_map = Map(init_opts=opts.InitOpts(theme=ThemeType.WESTEROS)) world_map.add("",[list(z) for z in zip(list(global_data["confirm"]), list(global_data["confirm"]))], "world",is_map_symbol_show=False) world_map.set_global_opts(title_opts=opts.TitleOpts(title="2019_nCoV-世界疫情地图"), visualmap_opts=opts.VisualMapOpts(is_piecewise=True, pieces = [ {"min": 101 , "label": '>100'}, #不指定 max，表示 max 为无限大 {"min": 10, "max": 100, "label": '10-100'}, {"min": 0, "max": 9, "label": '0-9' }])) world_map.set_series_opts(label_opts=opts.LabelOpts(is_show=False)) world_map.render_notebook() world_map = Map(init_opts=opts.InitOpts(theme=ThemeType.WESTEROS)) world_map.add("",[list(z) for z in zip(list(global_data["confirm"]), list(global_data["confirm"]))], "world",is_map_symbol_show=False) world_map.set_global_opts(title_opts=opts.TitleOpts(title="2019_nCoV-世界疫情地图"), visualmap_opts=opts.VisualMapOpts(is_piecewise=True, pieces = [ {"min": 101 , "label": '>100'}, #不指定 max，表示 max 为无限大 {"min": 10, "max": 100, "label": '10-100'}, {"min": 0, "max": 9, "label": '0-9' }])) world_map.set_series_opts(label_opts=opts.LabelOpts(is_show=False)) world_map.render_notebook() #数据处理 area_data = china_data.groupby("province")["confirm"].sum().reset_index() area_data.columns = ["province","confirm"] area_map = Map(init_opts=opts.InitOpts(theme=ThemeType.WESTEROS)) area_map.add("",[list(z) for z in zip(list(area_data["province"]), list(area_data["confirm"]))], "china",is_map_symbol_show=False) area_map.set_global_opts(title_opts=opts.TitleOpts(title="2019_nCoV中国疫情地图"),visualmap_opts=opts.VisualMapOpts(is_piecewise=True, pieces = [ {"min": 1001 , "label": '>1000',"color": "#893448"}, #不指定 max，表示 max 为无限大 {"min": 500, "max": 1000, "label": '500-1000',"color": "#ff585e"}, {"min": 101, "max": 499, "label": '101-499',"color": "#fb8146"}, {"min": 10, "max": 100, "label": '10-100',"color": "#ffb248"}, {"min": 0, "max": 9, "label": '0-9',"color" : "#fff2d1" }])) area_map.render_notebook() line1 = Line(init_opts=opts.InitOpts(theme=ThemeType.WESTEROS)) #line1.add_xaxis(list(chinaDayList["date"])) #line1.add_yaxis("治愈",list(chinaDayList["heal"]),is_smooth=True) #line1.add_yaxis("死亡", list(chinaDayList["dead"]),is_smooth=True) #line1.set_global_opts(title_opts=opts.TitleOpts(title="Line1-治愈与死亡趋势")) #line1.render_notebook() line2 = Line(init_opts=opts.InitOpts(theme=ThemeType.SHINE)) #line2.add_xaxis(list(chinaDayList["date"])) #line2.add_yaxis("确诊",list(chinaDayList["confirm"])) #line2.add_yaxis("疑似", list(chinaDayList["suspect"])) #line2.set_global_opts(title_opts=opts.TitleOpts(title="Line2-确诊与疑似趋势")) #line2.render_notebook() bar = Bar(init_opts=opts.InitOpts(theme=ThemeType.WESTEROS,width = '900px',height ='400px')) #bar .add_xaxis(list(chinaDayAddList["date"])) #bar .add_yaxis("确诊", list(chinaDayAddList["confirm"])) #bar .add_yaxis("疑似", list(chinaDayAddList["suspect"])) #bar .add_yaxis("死亡", list(chinaDayAddList["dead"])) #bar .add_yaxis("治愈", list(chinaDayAddList["heal"])) #bar .set_global_opts(title_opts=opts.TitleOpts(title="每日新增数据趋势")) #bar.render_notebook() page = Page() page.add(total_pie) page.add(totaladd_pie) page.add(world_map) page.add(area_map) page.add(line1) page.add(line2) page.add(bar) page.render('files/show.html') Show.html <!DOCTYPE html> <html> <head> <meta charset="UTF-8"> <title>Awesome-pyecharts</title> <script type="text/javascript" src="https://assets.pyecharts.org/assets/echarts.min.js"></script> <script type="text/javascript" src="https://assets.pyecharts.org/assets/themes/westeros.js"></script> <script type="text/javascript" src="https://assets.pyecharts.org/assets/maps/world.js"></script> <script type="text/javascript" src="https://assets.pyecharts.org/assets/maps/china.js"></script> <script type="text/javascript" src="https://assets.pyecharts.org/assets/themes/shine.js"></script> </head> <body> <style>.box { }; </style> <div class="box"> <div id="b5493c495c75481dafbd8aa5465feb69" class="chart-container" style="width:500px; height:350px;"></div> <script> var chart_b5493c495c75481dafbd8aa5465feb69 = echarts.init( document.getElementById('b5493c495c75481dafbd8aa5465feb69'), 'westeros', {renderer: 'canvas'}); var option_b5493c495c75481dafbd8aa5465feb69 = { "animation": true, "animationThreshold": 2000, "animationDuration": 1000, "animationEasing": "cubicOut", "animationDelay": 0, "animationDurationUpdate": 300, "animationEasingUpdate": "cubicOut", "animationDelayUpdate": 0, "series": [ { "type": "pie", "clockwise": true, "data": [ { "name": "confirm", "value": 82938 }, { "name": "heal", "value": 77237 }, { "name": "dead", "value": 3338 }, { "name": "nowConfirm", "value": 2363 }, { "name": "suspect", "value": 107 }, { "name": "nowSevere", "value": 295 }, { "name": "importedCase", "value": 913 }, { "name": "noInfect", "value": 1024 } ], "radius": [ 50, 80 ], "center": [ "50%", "50%" ], "label": { "show": true, "position": "top", "margin": 8, "formatter": "{c}" }, "rippleEffect": { "show": true, "brushType": "stroke", "scale": 2.5, "period": 4 } } ], "legend": [ { "data": [ "confirm", "heal", "dead", "nowConfirm", "suspect", "nowSevere", "importedCase", "noInfect" ], "selected": {}, "show": true, "padding": 5, "itemGap": 10, "itemWidth": 25, "itemHeight": 14 } ], "tooltip": { "show": true, "trigger": "item", "triggerOn": "mousemove|click", "axisPointer": { "type": "line" }, "textStyle": { "fontSize": 14 }, "borderWidth": 0 }, "title": [ { "text": "\u5168\u56fd\u603b\u91cf", "subtext": "\u622a\u6b622020-04-05 15:31:28", "padding": 5, "itemGap": 10 } ] }; chart_b5493c495c75481dafbd8aa5465feb69.setOption(option_b5493c495c75481dafbd8aa5465feb69); </script> <br/> <div id="022269587237463cb5386c7b2920fdbe" class="chart-container" style="width:500px; height:350px;"></div> <script> var chart_022269587237463cb5386c7b2920fdbe = echarts.init( document.getElementById('022269587237463cb5386c7b2920fdbe'), 'westeros', {renderer: 'canvas'}); var option_022269587237463cb5386c7b2920fdbe = { "animation": true, "animationThreshold": 2000, "animationDuration": 1000, "animationEasing": "cubicOut", "animationDelay": 0, "animationDurationUpdate": 300, "animationEasingUpdate": "cubicOut", "animationDelayUpdate": 0, "series": [ { "type": "pie", "clockwise": true, "data": [ { "name": "confirm", "value": 77 }, { "name": "heal", "value": 253 }, { "name": "dead", "value": 3 }, { "name": "nowConfirm", "value": -193 }, { "name": "suspect", "value": -7 }, { "name": "nowSevere", "value": -36 }, { "name": "importedCase", "value": 25 }, { "name": "noInfect", "value": 47 } ], "radius": [ 50, 80 ], "center": [ "50%", "50%" ], "label": { "show": true, "position": "top", "margin": 8, "formatter": "{c}" }, "rippleEffect": { "show": true, "brushType": "stroke", "scale": 2.5, "period": 4 } } ], "legend": [ { "data": [ "confirm", "heal", "dead", "nowConfirm", "suspect", "nowSevere", "importedCase", "noInfect" ], "selected": {}, "show": true, "padding": 5, "itemGap": 10, "itemWidth": 25, "itemHeight": 14 } ], "tooltip": { "show": true, "trigger": "item", "triggerOn": "mousemove|click", "axisPointer": { "type": "line" }, "textStyle": { "fontSize": 14 }, "borderWidth": 0 }, "title": [ { "text": "\u6628\u65e5\u65b0\u589e", "padding": 5, "itemGap": 10 } ] }; chart_022269587237463cb5386c7b2920fdbe.setOption(option_022269587237463cb5386c7b2920fdbe); </script> <br/> <div id="c1c974ee0ffe4b8fa0218a313dbe1900" class="chart-container" style="width:900px; height:500px;"></div> <script> var chart_c1c974ee0ffe4b8fa0218a313dbe1900 = echarts.init( document.getElementById('c1c974ee0ffe4b8fa0218a313dbe1900'), 'westeros', {renderer: 'canvas'}); var option_c1c974ee0ffe4b8fa0218a313dbe1900 = { "animation": true, "animationThreshold": 2000, "animationDuration": 1000, "animationEasing": "cubicOut", "animationDelay": 0, "animationDurationUpdate": 300, "animationEasingUpdate": "cubicOut", "animationDelayUpdate": 0, "series": [ { "type": "map", "label": { "show": false, "position": "top", "margin": 8 }, "mapType": "world", "data": [ { "name": 82938, "value": 82938 } ], "roam": true, "zoom": 1, "showLegendSymbol": false, "emphasis": {}, "rippleEffect": { "show": true, "brushType": "stroke", "scale": 2.5, "period": 4 } } ], "legend": [ { "data": [ "" ], "selected": { "": true }, "show": true, "padding": 5, "itemGap": 10, "itemWidth": 25, "itemHeight": 14 } ], "tooltip": { "show": true, "trigger": "item", "triggerOn": "mousemove|click", "axisPointer": { "type": "line" }, "textStyle": { "fontSize": 14 }, "borderWidth": 0 }, "title": [ { "text": "2019_nCoV-\u4e16\u754c\u75ab\u60c5\u5730\u56fe", "padding": 5, "itemGap": 10 } ], "visualMap": { "show": true, "type": "piecewise", "min": 0, "max": 100, "inRange": { "color": [ "#50a3ba", "#eac763", "#d94e5d" ] }, "calculable": true, "inverse": false, "splitNumber": 5, "orient": "vertical", "showLabel": true, "itemWidth": 20, "itemHeight": 14, "borderWidth": 0, "pieces": [ { "min": 101, "label": ">100" }, { "min": 10, "max": 100, "label": "10-100" }, { "min": 0, "max": 9, "label": "0-9" } ] } }; chart_c1c974ee0ffe4b8fa0218a313dbe1900.setOption(option_c1c974ee0ffe4b8fa0218a313dbe1900); </script> <br/> <div id="6ee916d563234611b1341ce612927d05" class="chart-container" style="width:900px; height:500px;"></div> <script> var chart_6ee916d563234611b1341ce612927d05 = echarts.init( document.getElementById('6ee916d563234611b1341ce612927d05'), 'westeros', {renderer: 'canvas'}); var option_6ee916d563234611b1341ce612927d05 = { "animation": true, "animationThreshold": 2000, "animationDuration": 1000, "animationEasing": "cubicOut", "animationDelay": 0, "animationDurationUpdate": 300, "animationEasingUpdate": "cubicOut", "animationDelayUpdate": 0, "series": [ { "type": "map", "label": { "show": true, "position": "top", "margin": 8 }, "mapType": "china", "data": [ { "name": "\u4e0a\u6d77", "value": 531 }, { "name": "\u4e91\u5357", "value": 184 }, { "name": "\u5185\u8499\u53e4", "value": 117 }, { "name": "\u5317\u4eac", "value": 586 }, { "name": "\u53f0\u6e7e", "value": 363 }, { "name": "\u5409\u6797", "value": 98 }, { "name": "\u56db\u5ddd", "value": 558 }, { "name": "\u5929\u6d25", "value": 180 }, { "name": "\u5b81\u590f", "value": 75 }, { "name": "\u5b89\u5fbd", "value": 990 }, { "name": "\u5c71\u4e1c", "value": 779 }, { "name": "\u5c71\u897f", "value": 138 }, { "name": "\u5e7f\u4e1c", "value": 1524 }, { "name": "\u5e7f\u897f", "value": 254 }, { "name": "\u65b0\u7586", "value": 76 }, { "name": "\u6c5f\u82cf", "value": 651 }, { "name": "\u6c5f\u897f", "value": 937 }, { "name": "\u6cb3\u5317", "value": 327 }, { "name": "\u6cb3\u5357", "value": 1276 }, { "name": "\u6d59\u6c5f", "value": 1263 }, { "name": "\u6d77\u5357", "value": 168 }, { "name": "\u6e56\u5317", "value": 67803 }, { "name": "\u6e56\u5357", "value": 1019 }, { "name": "\u6fb3\u95e8", "value": 44 }, { "name": "\u7518\u8083", "value": 138 }, { "name": "\u798f\u5efa", "value": 350 }, { "name": "\u897f\u85cf", "value": 1 }, { "name": "\u8d35\u5dde", "value": 147 }, { "name": "\u8fbd\u5b81", "value": 142 }, { "name": "\u91cd\u5e86", "value": 579 }, { "name": "\u9655\u897f", "value": 256 }, { "name": "\u9752\u6d77", "value": 18 }, { "name": "\u9999\u6e2f", "value": 862 }, { "name": "\u9ed1\u9f99\u6c5f", "value": 504 } ], "roam": true, "zoom": 1, "showLegendSymbol": false, "emphasis": {} } ], "legend": [ { "data": [ "" ], "selected": { "": true }, "show": true, "padding": 5, "itemGap": 10, "itemWidth": 25, "itemHeight": 14 } ], "tooltip": { "show": true, "trigger": "item", "triggerOn": "mousemove|click", "axisPointer": { "type": "line" }, "textStyle": { "fontSize": 14 }, "borderWidth": 0 }, "title": [ { "text": "2019_nCoV\u4e2d\u56fd\u75ab\u60c5\u5730\u56fe", "padding": 5, "itemGap": 10 } ], "visualMap": { "show": true, "type": "piecewise", "min": 0, "max": 100, "inRange": { "color": [ "#50a3ba", "#eac763", "#d94e5d" ] }, "calculable": true, "inverse": false, "splitNumber": 5, "orient": "vertical", "showLabel": true, "itemWidth": 20, "itemHeight": 14, "borderWidth": 0, "pieces": [ { "min": 1001, "label": ">1000", "color": "#893448" }, { "min": 500, "max": 1000, "label": "500-1000", "color": "#ff585e" }, { "min": 101, "max": 499, "label": "101-499", "color": "#fb8146" }, { "min": 10, "max": 100, "label": "10-100", "color": "#ffb248" }, { "min": 0, "max": 9, "label": "0-9", "color": "#fff2d1" } ] } }; chart_6ee916d563234611b1341ce612927d05.setOption(option_6ee916d563234611b1341ce612927d05); </script> <br/> <div id="757254e1aef74a4b907c8a4e6382db44" class="chart-container" style="width:900px; height:500px;"></div> <script> var chart_757254e1aef74a4b907c8a4e6382db44 = echarts.init( document.getElementById('757254e1aef74a4b907c8a4e6382db44'), 'westeros', {renderer: 'canvas'}); var option_757254e1aef74a4b907c8a4e6382db44 = { "animation": true, "animationThreshold": 2000, "animationDuration": 1000, "animationEasing": "cubicOut", "animationDelay": 0, "animationDurationUpdate": 300, "animationEasingUpdate": "cubicOut", "animationDelayUpdate": 0, "series": [], "legend": [ { "data": [], "selected": {} } ], "tooltip": { "show": true, "trigger": "item", "triggerOn": "mousemove|click", "axisPointer": { "type": "line" }, "textStyle": { "fontSize": 14 }, "borderWidth": 0 }, "xAxis": [ { "show": true, "scale": false, "nameLocation": "end", "nameGap": 15, "gridIndex": 0, "inverse": false, "offset": 0, "splitNumber": 5, "minInterval": 0, "splitLine": { "show": false, "lineStyle": { "show": true, "width": 1, "opacity": 1, "curveness": 0, "type": "solid" } } } ], "yAxis": [ { "show": true, "scale": false, "nameLocation": "end", "nameGap": 15, "gridIndex": 0, "inverse": false, "offset": 0, "splitNumber": 5, "minInterval": 0, "splitLine": { "show": false, "lineStyle": { "show": true, "width": 1, "opacity": 1, "curveness": 0, "type": "solid" } } } ] }; chart_757254e1aef74a4b907c8a4e6382db44.setOption(option_757254e1aef74a4b907c8a4e6382db44); </script> <br/> <div id="d0f1b091cd7f4dcb8db794b3918e2bfe" class="chart-container" style="width:900px; height:500px;"></div> <script> var chart_d0f1b091cd7f4dcb8db794b3918e2bfe = echarts.init( document.getElementById('d0f1b091cd7f4dcb8db794b3918e2bfe'), 'shine', {renderer: 'canvas'}); var option_d0f1b091cd7f4dcb8db794b3918e2bfe = { "animation": true, "animationThreshold": 2000, "animationDuration": 1000, "animationEasing": "cubicOut", "animationDelay": 0, "animationDurationUpdate": 300, "animationEasingUpdate": "cubicOut", "animationDelayUpdate": 0, "series": [], "legend": [ { "data": [], "selected": {} } ], "tooltip": { "show": true, "trigger": "item", "triggerOn": "mousemove|click", "axisPointer": { "type": "line" }, "textStyle": { "fontSize": 14 }, "borderWidth": 0 }, "xAxis": [ { "show": true, "scale": false, "nameLocation": "end", "nameGap": 15, "gridIndex": 0, "inverse": false, "offset": 0, "splitNumber": 5, "minInterval": 0, "splitLine": { "show": false, "lineStyle": { "show": true, "width": 1, "opacity": 1, "curveness": 0, "type": "solid" } } } ], "yAxis": [ { "show": true, "scale": false, "nameLocation": "end", "nameGap": 15, "gridIndex": 0, "inverse": false, "offset": 0, "splitNumber": 5, "minInterval": 0, "splitLine": { "show": false, "lineStyle": { "show": true, "width": 1, "opacity": 1, "curveness": 0, "type": "solid" } } } ] }; chart_d0f1b091cd7f4dcb8db794b3918e2bfe.setOption(option_d0f1b091cd7f4dcb8db794b3918e2bfe); </script> <br/> <div id="7978d5f1617549fc88f40fdbf75f83f3" class="chart-container" style="width:900px; height:400px;"></div> <script> var chart_7978d5f1617549fc88f40fdbf75f83f3 = echarts.init( document.getElementById('7978d5f1617549fc88f40fdbf75f83f3'), 'westeros', {renderer: 'canvas'}); var option_7978d5f1617549fc88f40fdbf75f83f3 = { "animation": true, "animationThreshold": 2000, "animationDuration": 1000, "animationEasing": "cubicOut", "animationDelay": 0, "animationDurationUpdate": 300, "animationEasingUpdate": "cubicOut", "animationDelayUpdate": 0, "series": [], "legend": [ { "data": [], "selected": {} } ], "tooltip": { "show": true, "trigger": "item", "triggerOn": "mousemove|click", "axisPointer": { "type": "line" }, "textStyle": { "fontSize": 14 }, "borderWidth": 0 }, "xAxis": [ { "show": true, "scale": false, "nameLocation": "end", "nameGap": 15, "gridIndex": 0, "inverse": false, "offset": 0, "splitNumber": 5, "minInterval": 0, "splitLine": { "show": false, "lineStyle": { "show": true, "width": 1, "opacity": 1, "curveness": 0, "type": "solid" } } } ], "yAxis": [ { "show": true, "scale": false, "nameLocation": "end", "nameGap": 15, "gridIndex": 0, "inverse": false, "offset": 0, "splitNumber": 5, "minInterval": 0, "splitLine": { "show": false, "lineStyle": { "show": true, "width": 1, "opacity": 1, "curveness": 0, "type": "solid" } } } ] }; chart_7978d5f1617549fc88f40fdbf75f83f3.setOption(option_7978d5f1617549fc88f40fdbf75f83f3); </script> <br/> </div> <script> </script> </body> </html>
