I am using the below codes for forecasting but i am not getting it right.

Steps performed

• Stationery Check

• Differencing

• Decomposing the Time Series

• Fitting the Data with Holt-Winters Exponential Smoothing

• Forecasting with Holt-Winters Exponential Smoothing (Triple ES)

  fitted_model = ExponentialSmoothing(df[‘df Index’], trend=’mul’, seasonal=’mul’, seasonal_periods=12).fit()
  test_predictions = fitted_model.forecast(24)
  combined_data = pd.concat([df[‘df Index’], test_predictions], axis=0)
  plt.figure(figsize=(10, 6))
  df[‘df Index’].plot(legend=True, label=’TRAIN’)
  df[‘df Index’][-24:].plot(legend=True, label=’TEST’)
  test_predictions.plot(legend=True, label=’PREDICTION’)
  plt.title(‘Train, Test, and Predicted Test using Holt Winters’)
  plt.xlabel(‘Date’)
  plt.ylabel(‘df Index’)
  plt.tight_layout()
  plt.show()

I need to have prediction and test comparative but i need help to get it.
Plot