# Make a dataframe containing actual and predicted prices
comparison = pd.DataFrame({'actual': [18.93, 19.23, 19.08, 19.17, 19.11, 19.12],
                          'predicted': [18.96, 18.97, 18.96, 18.92, 18.94, 18.92]},
                          index = pd.date_range(start='2018-06-05', periods=6,))


#Plot predicted vs actual price

plt.figure(figsize=(17, 8))
plt.plot(comparison.actual)
plt.plot(comparison.predicted)
plt.title('Predicted closing price of New Germany Fund Inc (GF)')
plt.ylabel('Closing price ($)')
plt.xlabel('Trading day')
plt.legend(loc='best')
plt.grid(False)
plt.show()