diff --git a/COVID-19/Project/.vs/Project/v16/.suo b/COVID-19/Project/.vs/Project/v16/.suo
index 68e1f5b..f22d947 100644
Binary files a/COVID-19/Project/.vs/Project/v16/.suo and b/COVID-19/Project/.vs/Project/v16/.suo differ
diff --git a/COVID-19/Project/Project/Project.py b/COVID-19/Project/Project/Project.py
index 38784da..4a6277e 100644
--- a/COVID-19/Project/Project/Project.py
+++ b/COVID-19/Project/Project/Project.py
@@ -5,6 +5,8 @@ import numpy as np
 import datetime
 import math
 from scipy import interpolate
+from pyecharts.charts import Map
+from pyecharts import options
  
 plt.rcParams['axes.unicode_minus'] = False   
 
@@ -37,7 +39,6 @@ dfChinaSept = China[China['Date'].dt.month == 9]
 dfChinaOct = China[China['Date'].dt.month == 10]
 dfChinaNov = China[China['Date'].dt.month == 11]
 dfChinaDec = China[China['Date'].dt.month == 12]
-
 dfUSJan = US[US['Date'].dt.month == 1]
 dfUSFeb = US[US['Date'].dt.month == 2]
 dfUSMar = US[US['Date'].dt.month == 3]
@@ -58,7 +59,6 @@ recoveredChina = [dfChinaJan['Recovered'].sum(),dfChinaFeb['Recovered'].sum(),df
 			 dfChinaMay['Recovered'].sum(),dfChinaJun['Recovered'].sum(),dfChinaJul['Recovered'].sum(),dfChinaAug['Recovered'].sum(),
 			 dfChinaSept['Recovered'].sum(),dfChinaOct['Recovered'].sum(),dfChinaNov['Recovered'].sum(),dfChinaDec['Recovered'].sum()]
 recoverPossChina = []
-
 confirmedUS = [dfUSJan['Confirmed'].sum(),dfUSFeb['Confirmed'].sum(),dfUSMar['Confirmed'].sum(),dfUSApr['Confirmed'].sum(),
 			 dfUSMay['Confirmed'].sum(),dfUSJun['Confirmed'].sum(),dfUSJul['Confirmed'].sum(),dfUSAug['Confirmed'].sum(),
 			 dfUSSept['Confirmed'].sum(),dfUSOct['Confirmed'].sum(),dfUSNov['Confirmed'].sum(),dfUSDec['Confirmed'].sum()]
@@ -102,28 +102,41 @@ datasUS = data3 + data4 + data5
 labsUS = [d.get_label() for d in datasUS]
 ax3.legend(datasUS, labsUS, loc="upper left")
 
-
-dataNew = pd.melt(China[['Date','Province/State','Confirmed','Recovered','Deaths']],
+#中国各省数据
+dataChina = pd.melt(China[['Date','Province/State','Confirmed','Recovered','Deaths']],
 				   id_vars=['Date','Province/State'],value_vars=['Confirmed','Recovered','Deaths'],
 				   var_name='group_var',value_name='Cases')
-dataNew['Date'] = pd.to_datetime(dataNew['Date'])
-dfNew = China[['Province/State','Confirmed','Recovered','Deaths']].groupby(['Province/State']).sum().reset_index()
-dataNew = pd.melt(dfNew,id_vars=['Province/State'],
+dataChina['Date'] = pd.to_datetime(dataChina['Date'])
+dfChina = China[['Province/State','Confirmed','Recovered','Deaths']].groupby(['Province/State']).sum().reset_index()
+dataChina = pd.melt(dfChina,id_vars=['Province/State'],
+				  value_vars=['Confirmed','Deaths','Recovered'],
+				  var_name='group_var',value_name='Cases')
+dataChina = dataChina.sort_values(by=['Province/State','group_var']).reset_index(drop=True)
+dataChina = dataChina.pivot_table(index=['Province/State'], columns='group_var')
+dataChina.columns = dataChina.columns.droplevel().rename(None)
+
+#各国数据
+dataWorld = pd.melt(dataset[['Date','Country/Region','Confirmed','Recovered','Deaths']],
+				   id_vars=['Date','Country/Region'],value_vars=['Confirmed','Recovered','Deaths'],
+				   var_name='group_var',value_name='Cases')
+dataWorld['Date'] = pd.to_datetime(dataWorld['Date'])
+dfWorld = dataset[['Country/Region','Confirmed','Recovered','Deaths']].groupby(['Country/Region']).sum().reset_index()
+dataWorld = pd.melt(dfWorld,id_vars=['Country/Region'],
 				  value_vars=['Confirmed','Deaths','Recovered'],
 				  var_name='group_var',value_name='Cases')
-dataNew = dataNew.sort_values(by=['Province/State','group_var']).reset_index(drop=True)
-dataNew = dataNew.pivot_table(index=['Province/State'], columns='group_var')
-dataNew.columns = dataNew.columns.droplevel().rename(None)
+dataWorld = dataWorld.sort_values(by=['Country/Region','group_var']).reset_index(drop=True)
+dataWorld = dataWorld.pivot_table(index=['Country/Region'], columns='group_var')
+dataWorld.columns = dataWorld.columns.droplevel().rename(None)
 
 #中国各省份
-dataNew.sort_values('Confirmed', inplace=True)
+dataChina.sort_values('Confirmed', inplace=True)
 xData = []
 yConfirmed = []
 yRecovered = []
 for i in range(12):
-	xData.append(dataNew.index[i])
-	yConfirmed.append(dataNew['Confirmed'][i])
-	yRecovered.append(dataNew['Recovered'][i])
+	xData.append(dataChina.index[i])
+	yConfirmed.append(dataChina['Confirmed'][i])
+	yRecovered.append(dataChina['Recovered'][i])
 
 ax5 = fig.add_subplot(212)
 ax5.set_title("Total Recovered/Confirmed of China(the bottom ten)",verticalalignment="bottom",fontsize="13")
@@ -134,4 +147,23 @@ ax5.bar(r1, yConfirmed, color='#FF0088', width=barWidth, edgecolor='white', labe
 ax5.bar(r2, yRecovered, color='#00BBFF', width=barWidth, edgecolor='white', label='Recovered')
 plt.xticks([r + barWidth for r in range(len(yConfirmed))], xData)
 ax5.legend()
-plt.show()
\ No newline at end of file
+
+plt.show()
+
+ChinaConfirmed=[]
+worldConfirmed=[]
+
+for i in range(33):
+	ChinaConfirmed.append((dataChina.index[i],dataChina['Confirmed'][i]))
+
+map_China = Map()
+map_China.set_global_opts(title_opts=options.TitleOpts(title="疫情图-确诊人数"),
+                             visualmap_opts=options.VisualMapOpts(is_piecewise=True,
+                                                                  pieces=[
+                                                                      {"min": 1000, "label": '>1000人',"color": "#6F171F"},
+                                                                      {"min": 500, "max": 1000,"label": '500-1000人', "color": "#C92C34"},
+                                                                      {"min": 100, "max": 499,"label": '100-499人', "color": "#E35B52"},
+                                                                      {"min": 10, "max": 99,"label": '10-99人', "color": "#F39E86"},
+																	  {"min": 1, "max": 9, "label": '1-9人', "color": "#FDEBD0"}]))
+map_China.add("确诊", ChinaConfirmed, maptype='china')
+map_China.render("province.html")
\ No newline at end of file
diff --git a/COVID-19/Project/Project/Project.pyproj b/COVID-19/Project/Project/Project.pyproj
index e3febd4..2400ed9 100644
--- a/COVID-19/Project/Project/Project.pyproj
+++ b/COVID-19/Project/Project/Project.pyproj
@@ -11,6 +11,7 @@
     <OutputPath>.</OutputPath>
     <Name>Project</Name>
     <RootNamespace>Project</RootNamespace>
+    <InterpreterId>CondaEnv|CondaEnv|env</InterpreterId>
   </PropertyGroup>
   <PropertyGroup Condition=" '$(Configuration)' == 'Debug' ">
     <DebugSymbols>true</DebugSymbols>
@@ -23,6 +24,9 @@
   <ItemGroup>
     <Compile Include="Project.py" />
   </ItemGroup>
+  <ItemGroup>
+    <InterpreterReference Include="CondaEnv|CondaEnv|env" />
+  </ItemGroup>
   <Import Project="$(MSBuildExtensionsPath32)\Microsoft\VisualStudio\v$(VisualStudioVersion)\Python Tools\Microsoft.PythonTools.targets" />
   <!-- Uncomment the CoreCompile target to enable the Build command in
        Visual Studio and specify your pre- and post-build commands in
diff --git a/COVID-19/Project/Project/province.html b/COVID-19/Project/Project/province.html
new file mode 100644
index 0000000..cf65ff9
--- /dev/null
+++ b/COVID-19/Project/Project/province.html
@@ -0,0 +1,299 @@
+<!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/maps/china.js"></script>
+
+</head>
+<body>
+    <div id="c11071484495441fb56547337c4c9980" class="chart-container" style="width:900px; height:500px;"></div>
+    <script>
+        var chart_c11071484495441fb56547337c4c9980 = echarts.init(
+            document.getElementById('c11071484495441fb56547337c4c9980'), 'white', {renderer: 'canvas'});
+        var option_c11071484495441fb56547337c4c9980 = {
+    "animation": true,
+    "animationThreshold": 2000,
+    "animationDuration": 1000,
+    "animationEasing": "cubicOut",
+    "animationDelay": 0,
+    "animationDurationUpdate": 300,
+    "animationEasingUpdate": "cubicOut",
+    "animationDelayUpdate": 0,
+    "color": [
+        "#c23531",
+        "#2f4554",
+        "#61a0a8",
+        "#d48265",
+        "#749f83",
+        "#ca8622",
+        "#bda29a",
+        "#6e7074",
+        "#546570",
+        "#c4ccd3",
+        "#f05b72",
+        "#ef5b9c",
+        "#f47920",
+        "#905a3d",
+        "#fab27b",
+        "#2a5caa",
+        "#444693",
+        "#726930",
+        "#b2d235",
+        "#6d8346",
+        "#ac6767",
+        "#1d953f",
+        "#6950a1",
+        "#918597"
+    ],
+    "series": [
+        {
+            "type": "map",
+            "name": "\u786e\u8bca",
+            "label": {
+                "show": true,
+                "position": "top",
+                "margin": 8
+            },
+            "mapType": "china",
+            "data": [
+                {
+                    "name": "Tibet",
+                    "value": 315.0
+                },
+                {
+                    "name": "Qinghai",
+                    "value": 5645.0
+                },
+                {
+                    "name": "Macau",
+                    "value": 11994.0
+                },
+                {
+                    "name": "Ningxia",
+                    "value": 23057.0
+                },
+                {
+                    "name": "Jilin",
+                    "value": 42570.0
+                },
+                {
+                    "name": "Guizhou",
+                    "value": 45186.0
+                },
+                {
+                    "name": "Gansu",
+                    "value": 47108.0
+                },
+                {
+                    "name": "Hainan",
+                    "value": 52669.0
+                },
+                {
+                    "name": "Shanxi",
+                    "value": 58587.0
+                },
+                {
+                    "name": "Yunnan",
+                    "value": 60036.0
+                },
+                {
+                    "name": "Liaoning",
+                    "value": 62055.0
+                },
+                {
+                    "name": "Tianjin",
+                    "value": 64101.0
+                },
+                {
+                    "name": "Inner Mongolia",
+                    "value": 67454.0
+                },
+                {
+                    "name": "Guangxi",
+                    "value": 79283.0
+                },
+                {
+                    "name": "Shaanxi",
+                    "value": 106005.0
+                },
+                {
+                    "name": "Hebei",
+                    "value": 106109.0
+                },
+                {
+                    "name": "Fujian",
+                    "value": 116024.0
+                },
+                {
+                    "name": "Xinjiang",
+                    "value": 136161.0
+                },
+                {
+                    "name": "Chongqing",
+                    "value": 180853.0
+                },
+                {
+                    "name": "Sichuan",
+                    "value": 193293.0
+                },
+                {
+                    "name": "Jiangsu",
+                    "value": 202713.0
+                },
+                {
+                    "name": "Beijing",
+                    "value": 235333.0
+                },
+                {
+                    "name": "Shanghai",
+                    "value": 241459.0
+                },
+                {
+                    "name": "Shandong",
+                    "value": 245706.0
+                },
+                {
+                    "name": "Heilongjiang",
+                    "value": 259973.0
+                },
+                {
+                    "name": "Jiangxi",
+                    "value": 289122.0
+                },
+                {
+                    "name": "Anhui",
+                    "value": 306312.0
+                },
+                {
+                    "name": "Hunan",
+                    "value": 316247.0
+                },
+                {
+                    "name": "Zhejiang",
+                    "value": 393984.0
+                },
+                {
+                    "name": "Henan",
+                    "value": 395577.0
+                },
+                {
+                    "name": "Guangdong",
+                    "value": 516608.0
+                },
+                {
+                    "name": "Hong Kong",
+                    "value": 834002.0
+                },
+                {
+                    "name": "Hubei",
+                    "value": 20670801.0
+                }
+            ],
+            "roam": true,
+            "aspectScale": 0.75,
+            "nameProperty": "name",
+            "selectedMode": false,
+            "zoom": 1,
+            "mapValueCalculation": "sum",
+            "showLegendSymbol": true,
+            "emphasis": {}
+        }
+    ],
+    "legend": [
+        {
+            "data": [
+                "\u786e\u8bca"
+            ],
+            "selected": {
+                "\u786e\u8bca": true
+            },
+            "show": true,
+            "padding": 5,
+            "itemGap": 10,
+            "itemWidth": 25,
+            "itemHeight": 14
+        }
+    ],
+    "tooltip": {
+        "show": true,
+        "trigger": "item",
+        "triggerOn": "mousemove|click",
+        "axisPointer": {
+            "type": "line"
+        },
+        "showContent": true,
+        "alwaysShowContent": false,
+        "showDelay": 0,
+        "hideDelay": 100,
+        "textStyle": {
+            "fontSize": 14
+        },
+        "borderWidth": 0,
+        "padding": 5
+    },
+    "title": [
+        {
+            "text": "\u75ab\u60c5\u56fe-\u786e\u8bca\u4eba\u6570",
+            "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": 1000,
+                "label": ">1000\u4eba",
+                "color": "#6F171F"
+            },
+            {
+                "min": 500,
+                "max": 1000,
+                "label": "500-1000\u4eba",
+                "color": "#C92C34"
+            },
+            {
+                "min": 100,
+                "max": 499,
+                "label": "100-499\u4eba",
+                "color": "#E35B52"
+            },
+            {
+                "min": 10,
+                "max": 99,
+                "label": "10-99\u4eba",
+                "color": "#F39E86"
+            },
+            {
+                "min": 1,
+                "max": 9,
+                "label": "1-9\u4eba",
+                "color": "#FDEBD0"
+            }
+        ]
+    }
+};
+        chart_c11071484495441fb56547337c4c9980.setOption(option_c11071484495441fb56547337c4c9980);
+    </script>
+</body>
+</html>