I'm having the following error whilst using Jupyter Notebook to create code to forecast some data:
File "<ipython-input-104-f41838a4a887>", line 240 else: ^ SyntaxError: invalid syntax I have checked for indentation and formatting errors but no luck solving yet.
if dfoutput[1] <= 0.05: # Auto Correlation plot to select p term for the ARIMA model. auto_corr(df) set_p_value() # Partial Auto Correlation plot to select q term for the ARIMA model. plot_pacf(df) set_q_value() # d value == 0 as no differencing took place. print('\nd value set as 0 as no differencing took place.') d_value = 0 # Select length of time to forecast over. future_dates(forecast_length) # Create the ARIMA model (Use the values of the dataframe to avoid ValueError): model = ARIMA(df.values, order=(p_value, d_value, q_value)) results = model.fit() # Option to show summary of the model: model_summary(results) # Option to show the residuals: show_residuals(results) # FORECASTING THE DATA final_df['forecast'] = results.predict(start=0, end=len(final_df) - 1) # Plotting the forecasted values plt.figure(figsize=(12,7)) plt.plot(final_df[column_to_assess], label='real', color='blue') plt.plot(final_df['forecast'].iloc[len(df)-1:], label='forecast', color='red') plt.xlabel('Date') plt.ylabel('Median House Value') plt.title('Median House Prices for ' + column_to_assess + ' (1995 - 2018) & Forecasted Prices (2018 - ' + str(final_df.index[-1].year) + ")") plt.grid() plt.legend() '''THIS IS WHERE THE ERROR ARISES:''' else: # Perform Error, Trend, Seasonality (ETS) decomposition to check for seasonality: ets_result = seasonal_decompose(df.astype(int), model='multiplicative') # Plot the ETS decomposition fig = result.plot() fig.set_size_inches(12,7) 
