python code
import matplotlib.pyplot as plt names= "Jak2 Mutation Present" ,"Maybe" , "No Jak2 Mutation", size=[60, 10, 30] #create circle circle_jake2= plt.Circle((0,0), 0.7, color="white") plt.pie(size, labels=names, colors=["red", "skyblue", "green"]) p=plt.gcf() plt.title("60%- 65% Patients with JAK2 Mutation") p.gca().add_artist(circle_jake2) plt.show() d={ "AE": ["Fatigue", "Abdominal discomfort" ,"Night sweats","Bone pain", "Itching"], "Percent": [80,53,51,40,40]} df=pd.DataFrame(data=d) plt.hlines(y=np.arange(1,6), xmin=0, xmax= df["Percent"]) plt.show() acolors=["red" , "coral", "yellow" ,"lightgreen", "skyblue"] plt.hlines(y=np.arange(1,6), xmin=0, xmax= df["Percent"], color=acolors) plt.plot(df['Percent'], np.arange(1,6), "*" , color="cyan", markersize=9) plt.yticks(np.arange(1,6), df['AE']) plt.ylabel ("Adverse Events") plt.xlabel("Percentage") plt.title("The Most Common Symptom for MF") plt.show()