title: Comparison of results from statsmodels ARIMA with original data
body: <p>I have a time series with seasonal components. I fitted the statsmodels ARIMA with</p>
  
  <pre><code>model = tsa.arima_model.ARIMA(data, (8,1,0)).fit()
  </code></pre>
  
  <p>For example. Now, I understand that ARIMA differences my data. How can I compare the results from</p>
  
  <pre><code>prediction = model.predict()
  fig, ax = plt.subplots()
  data.plot()
  prediction.plot()
  </code></pre>
  
  <p>as data will be the original data and prediction is differenced, and so has a mean around 0, different from the mean of data? </p>