Statsmodel ARIMA多输入

Question

I want to create my first (seasonal) ARIMA model but I find the Statsmodel ARIMA documentation insufficient. I lack information about calculating the prediction from multiple arrays (these are numpy arrays). These numpy arrays are series of values for each minute of a day. I want to make the prediction using data from each day of the last year.

Any advice/suggestions/links/hints on how to do that?

I am using Python 3.6.

Answer 1

You will need to put your arrays into a single multidimensional array-like structure (Pandas DataFrame or NumPy array). Assume you have two arrays a = [1, 2, 3] and b = [4, 5, 6] :

data = np.dstack([a, b])
model = statsmodels.tsa.arima_model.ARIMA(data, order=(5,1,0)) # fits ARIMA(5,1,0) model

See this blog post for a more comprehensive example of creating an ARIMA model.