Efficient solution for forward filling missing values in a pandas dataframe column?

Question

I need to forward fill values in a column of a dataframe within groups. I should note that the first value in a group is never missing by construction. I have the following

Answer 1

what about this

df.groupby('a').b.transform('ffill')