Reshape all XARRAYS into PANDAS data frames and normalize and use it for ARIMA...

Reshape all XARRAYS into PANDAS data frames and normalize and use it for ARIMA and LSTM. ARIMA fails due to normalized data sets with RMSE of 100% and not catching the shape. Normalization is not a good step for ARIMA. LSTM predicts perfectly the shape of time series but since the data were normalized already, the rescaling is incorrect and leads to RMSE of 196%. Next step would be to use unnormalized data for ARIMA and LSTM to be able to rescale it to original values and hence realistic RMSE...