app.py

# importing pandas library
import matplotlib.pyplot as plt
import pandas as pd
# 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
df = pd.DataFrame(inp_list,columns=['week','diabetes_binary','Population','Continent'])
# Sorting by column 'week'
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()