# What argument to pass in the SARIMAX model

I have daily data for 3 years and I want to use a SARIMA model. However, I'm a bit confused about what argument I should pass into the seasonal_order regarding the seasonal period.

I use python and the corresponding SARIMA model is statsmodels.tsa.statespace.sarimax.SARIMAX. I have the impression it should be 365, but I am no entirely sure, since I get a memory error.

c) To tentatively identify a value to be passed for P, put ACF and PACF next to each other and visually scan their behavior only at the seasonal lags. If PACF has $$P^*$$ spikes at seasonal lags after which it cuts off abruptly, while ACF shows a more or less gradually decaying pattern of spikes at seasonal lags, that is an indication that $$P=P^*$$
d) To tentatively identify a value for Q, again consider ACF and PACF and focus only at the seasonal lags. If ACF has $$Q^*$$ spikes at seasonal lags after which it cuts off abruptly, while PACF shows a more or less gradually decaying pattern of spikes at seasonal lags, that is an indication that $$Q=Q^*$$