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lang-py
for row in df[['c1','c2']].itertuples(index=True, name=None):to include only certain columns in the row iterator.name=Nonemakeitertuples50% faster in my use case.forloop (my technique 2) is faster thaniterrows()(my technique 1) as shown in my answer here. Anditertuples()is 38x faster thaniterrows(). In my "Rules of thumb" section in my answer, I propose that "[iterrows()] should never be used. [It is] super slow and [has] no advantages whatsoever." I present 13 techniques, several of which are extremely fast.iterrows()is the 2nd slowest.