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oscar_data = [ ["The Shape of Water", 2017, 6.914, 123, ['sci-fi', 'drama'], 19.4, 195.243464], ["Moonlight", 2016, 6.151, 110, ['drama'], 1.5, 65.046687], ["Spotlight", 2015, 7.489, 129, ['drama', 'crime', 'history'], 20.0, 88.346473], ["Birdman", 2014, 7.604, 119, ['drama', 'comedy'], 18.0, 103.215094], ["12 Years a Slave", 2013, 7.71, 133, ['drama', 'biography', 'history'], 20.0, 178.371993], ["Argo", 2012, 7.517, 120, ['thriller', 'drama', 'biography'], 44.5, 232.324128], ["The Artist", 2011, 7.942, 96, ['drama', 'melodrama', 'comedy'], 15.0, 133.432856], ["The King\'s Speech", 2010, 7.977, 118, ['drama', 'biography', 'history'], 15.0, 414.211549], ["The Hurt Locker", 2008, 7.298, 126, ['thriller', 'drama', 'war', 'history'], 15.0, 49.230772], ["Slumdog Millionaire", 2008, 7.724, 120, ['drama', 'melodrama'], 15.0, 377.910544], ["No Country for Old Men", 2007, 7.726, 122, ['thriller', 'drama', 'crime'], 25.0, 171.627166], ["The Departed", 2006, 8.456, 151, ['thriller', 'drama', 'crime'], 90.0, 289.847354], ["Crash", 2004, 7.896, 108, ['thriller', 'drama', 'crime'], 6.5, 98.410061], ["Million Dollar Baby", 2004, 8.075, 132, ['drama', 'sport'], 30.0, 216.763646], ["The Lord of the Rings: Return of the King", 2003, 8.617, 201, ['fantasy', 'drama', 'adventure'], 94.0, 1119.110941], ["Chicago", 2002, 7.669, 113, ['musical', 'comedy', 'crime'], 45.0, 306.776732], ['A Beautiful Mind', 2001, 8.557, 135, ['drama', 'biography', 'melodrama'], 58.0, 313.542341], ["Gladiator", 2000, 8.585, 155, ['action', 'drama', 'adventure'], 103.0, 457.640427], ["American Beauty", 1999, 7.965, 122, ['drama'], 15.0, 356.296601], ["Shakespeare in Love", 1998, 7.452, 123, ['drama', 'melodrama', 'comedy', 'history'], 25.0, 289.317794], ["Titanic", 1997, 8.369, 194, ['drama', 'melodrama'], 200.0, 2185.372302], ["The English Patient", 1996, 7.849, 155, ['drama', 'melodrama', 'war'], 27.0, 231.976425], ["Braveheart", 1995, 8.283, 178, ['drama', 'war', 'biography', 'history'], 72.0, 210.409945], ["Forrest Gump", 1994, 8.915, 142, ['drama', 'melodrama'], 55.0, 677.386686], ["Schindler\'s List", 1993, 8.819, 195, ['drama', 'biography', 'history'], 22.0, 321.265768], ["Unforgiven", 1992, 7.858, 131, ['drama', 'western'], 14.4, 159.157447], ["Silence of the Lambs", 1990, 8.335, 114, ['thriller', 'crime', 'mystery', 'drama', 'horror'], 19.0, 272.742922], ["Dances with Wolves", 1990, 8.112, 181, ['drama', 'adventure', 'western'], 22.0, 424.208848], ["Driving Miss Daisy", 1989, 7.645, 99, ['drama'], 7.5, 145.793296], ["Rain Man", 1988, 8.25, 133, ['drama'], 25.0, 354.825435], ] def filter_after(data, year_threshold): result = [] for row in data: year = row[1] if year >= year_threshold: result.append(row) return result def print_top5_by_column(data, column, reverse): data.sort(key=lambda row: row[column], reverse=reverse) print('Title | Year | Rating | Length | Budget | Box office gross |') print('--------------------------------------------------------------------------------') for row in data[:5]: print('{: <35} | {} | {: >7.2f} | {: >5} | {: >6.1f} | {: >6.1f} |'.format( row[0], row[1], row[2], row[3], row[5], row[6])) filtered_data = filter_after(oscar_data, 2000) print_top5_by_column(filtered_data, 6, True)
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