Let me see if I get this straight. df = pd.dataframe('somedata')

df.iloc[1] should pull the first row, uses a lot of memory and is slow (lets assume the index has a name like "apples" for this row)

but if you transpose the df dataframe first, you could call df['apples] and get the same data returned in a series, but it would be faster and more memory efficient?

Is this correct?

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