Personally, I think the inclusion of lambda functions in the pandas code shows that the approach isnt ideal to begin with. Fine on smaller datasets, but typically becomes a slow and cumbersome overhead when interacting with larger datasets. More verbose per line vector operations are generally orders of magnitude faster, and become more so as the data grows. They also tend to be easier to read / identify what is going on or what the intent is for people unfamiliar with the code base.

This is a common complaint I get all the time (heard it this week while teaching pandas). I compare this to whitespace indentation in Python.

Lots of folks complain about it before using it. After they use it it is a non issue.

If it really is an issue (and it generally isn't a cause of vectorization removal when used correctly) and you can't get over the syntactic noise if the lambda, pandas 3 introduced pd.col (that work in most (I filed a big about some exceptions) places when you'd use lambda).