# Constrain ARIMA to positive values (Python)

I am working on a time series whose values are strictly positive. However, in some cases when the values are near zero, the forecast also takes negative values.

Is there a way to tell to the Python statsmodel package to stay positive?

Example of the code I am using now:

mod = sm.tsa.statespace.SARIMAX(y,
order = pdq,
seasonal_order = seasonal_pdq,
enforce_stationarity=False,
enforce_invertibility=False)
results = mod.fit()