Update app.py

app.py

@@ -1,7 +1,7 @@
 # importing pandas library
 import matplotlib.pyplot as plt
 import pandas as pd
-# creating and initializing a nested list 
+# creating and initializing a nested list 
 inp_list = [[13,0,8425333,'Asia'],[15,1,9712569,'Oceania'],[52,0,76039390,'Americas'],[2,0,637408000,'Asia'],[35,1,44310863,'Europe'],[20,0,3.72e+08,'Asia'],[45,1,171984000,'Americas']]
 mypredictions = [1,1,0,0,1,0,1]
 # creating a pandas dataframe
@@ -10,9 +10,15 @@ df = pd.DataFrame(inp_list,columns=['week','diabetes_binary','Population','Conti
 df2=df.sort_values(by=['week'],ascending=True)
 X = list(df2.iloc[:, 0])
 Y = mypredictions
+# Plot the data using bar() method
 plt.plot(X, Y, 'o-g')
 plt.title("Diabetes prediction graph")
 plt.xlabel("week")
 plt.ylabel("diabetes_binary")
+for i in range(len(X)):
+  b=str(X[i])+","+str(Y[i])
+  plt.annotate(b, xy=(X[i],Y[i]))
 # Show the plot
 plt.show()
+
+