Pandas: Map DF with multiple columns to another

I am trying to figure out an efficient way to map df2 to df1. What makes this a bit trickier, is the key can sometimes be a tuple of 2+ keys.

df1 = {'Index':[1,2,3,4,5,6,7,8],'key':[a,a,b,(a,c),c,(a,b,c),b,a]}

df2 = {'Index':[a,b,c],'Val1':[1,2,3],'Val2':[.1,.2,.3],'Val3':[10,20,30],'Val4':[1,2,3],'Val5':[2,4,6]}

Basically, I am trying to map df2 (via the Index) to the key in df1. The end result would have columns = [key, Val1, Val2, Val3, Val4, Val5], and in the result that the type(key) == tuple, I would like a tuple of the 2+ matched Vals.

Any help is appreciated! Thanks!

source https://stackoverflow.com/questions/73513856/pandas-map-df-with-multiple-columns-to-another

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