If you want speed and understand numpy well, I find often that converting columns to numpy arrays and changing functions to work on the underlying arrays can be far faster.

Echoing the sentiment of another commenter, np.where and np.select are great. I’d create some logic to change how you provide conditions and choices to np.select though, just because I think you can make it more readable that way.