How to map a function using multiple columns in pandas?

Question

I\'ve checked out map, apply, mapapply, and combine, but can\'t seem to find a simple way of doing the following:

I have a dataframe with 10 columns. I need to pass thre

Answer 1

I'm using the following:

df['d'] = df.apply(lambda x: some_func(a = x['a'], b = x['b'], c = x['c']))

Seems to be working well, but if anyone else has a better solution, please let me know.