diff --git a/COVID-19/Project/.vs/Project/v16/.suo b/COVID-19/Project/.vs/Project/v16/.suo
index bdd2a9c..68e1f5b 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 1abb1ed..38784da 100644
--- a/COVID-19/Project/Project/Project.py
+++ b/COVID-19/Project/Project/Project.py
@@ -90,7 +90,7 @@ labsChina = [d.get_label() for d in datasChina]
 ax1.legend(datasChina, labsChina, loc="lower right")
 
 #美国
-ax3 = fig.add_subplot(223)
+ax3 = fig.add_subplot(222)
 ax3.set_title("Recovered/Confirmed/Recovery Possibility(month) of US",verticalalignment="bottom",fontsize="13")
 data3 = ax3.plot(date,confirmedUS,color="red",linewidth="1.7",label="confirmed")
 data4 = ax3.plot(date,recoveredUS,color="lime",linewidth="1.7",label="recovered")
@@ -102,4 +102,36 @@ 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']],
+				   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'],
+				  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)
+
+#中国各省份
+dataNew.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])
+
+ax5 = fig.add_subplot(212)
+ax5.set_title("Total Recovered/Confirmed of China(the bottom ten)",verticalalignment="bottom",fontsize="13")
+barWidth = 0.25
+r1 = np.arange(12)
+r2 = [x + barWidth for x in r1]
+ax5.bar(r1, yConfirmed, color='#FF0088', width=barWidth, edgecolor='white', label='Confirmed')
+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()
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