Need to do some better handling of low-observation models in plot_diagnostics. These are models that shouldn't really be estimated, and we can't really make the plots work, but we shouldn't raise exceptions.

• Any dataset with less than 10 observations will raise an error computing the error autocorrelations:

mod = sm.tsa.statespace.SARIMAX(np.random.normal(size=10), order=(10, 

Description

Steps/Code to Reproduce

<< your code here >>

Versions

There seems to be a lot of inconsistency in coding style. For example, the time series variable is as tsA instead of snake cased as ts_a. Python conventions are not being met within the code. This is fairly low priority, but something to consider; especially if many people contribute. I am not saying that this code base should follow Python standards - just a standard.

Describe the bug
There are unused variables in three temporal (t.) modules and some tests. It is not immediately clear if these can be just removed or they are actually supposed to be used and the code need to be fixed. Note that one is module option.

To Reproduce

Go to the temporal directory in GRASS GIS source code:

cd temporal

(Install Flake8 and) Run: