How to, extract specific information from a GLM summary table in Python

Question

After ruuning a glm model by this Python code :

mod1 = sm.GLM(response, predictors, family=sm.genmod.families.family.Gaussian()).fit()

print(mod1.summary())

I got the following summary table :

I know how to extarct the coefficient, but I would like to extract other information, as the Log-Likehood value for example. How can I proceed ?