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The answer could be single or multiple. You run the following program: import pandas as pd presidents {'1980' : 'Ronald Reagan' , '1984' : 'Ronald

The answer could be single or multiple.
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You run the following program: import pandas as pd presidents {'1980' : 'Ronald Reagan' , '1984' : 'Ronald Reagan' , '1988' 'George H.W. Bush' : 'George Bush' , \ '1992' 'Bill Clinton' , '1996' : 'Bill Clinton', '2000' '2004' : 'George Bush' '2008' 'Barack Obama , '2012' 'Barack Obama } election winner = pd. Series (presidents, name=tE1ection Winner' ) [ 'Republican' ] 'Democrat' ] *2+ [ 'Republican' ] *2 + ['Democrat' ] *2 party pol = pd. DataFrame (election winner) POI [ Party'] = party After this code is run, how could you select the complete row in pol containing the data for 1988? Select all answers that apply (i.e. there may be more than 1). o o o pol.iloc['1988'] pol.rows = 1988 pol.loc['1988'] poll' 1988'] pol.loc('1988') pol.iloc('1988') pol[21 pol.iloc[2] pol.get('1988')

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