SHARE
TWEET

Untitled

a guest Feb 16th, 2020 90 Never
Not a member of Pastebin yet? Sign Up, it unlocks many cool features!
  1. oscar_data = [
  2.     ["The Shape of Water", 2017, 6.914, 123, ['sci-fi', 'drama'], 19.4, 195.243464],
  3.     ["Moonlight", 2016, 6.151, 110, ['drama'], 1.5, 65.046687],
  4.     ["Spotlight", 2015, 7.489, 129, ['drama', 'crime', 'history'], 20.0, 88.346473],
  5.     ["Birdman", 2014, 7.604, 119, ['drama', 'comedy'], 18.0, 103.215094],
  6.     ["12 Years a Slave", 2013, 7.71, 133, ['drama', 'biography', 'history'], 20.0, 178.371993],
  7.     ["Argo", 2012, 7.517, 120, ['thriller', 'drama', 'biography'], 44.5, 232.324128],
  8.     ["The Artist", 2011, 7.942, 96, ['drama', 'melodrama', 'comedy'], 15.0, 133.432856],
  9.     ["The King\'s Speech", 2010, 7.977, 118, ['drama', 'biography', 'history'], 15.0, 414.211549],
  10.     ["The Hurt Locker", 2008, 7.298, 126, ['thriller', 'drama', 'war', 'history'], 15.0, 49.230772],
  11.     ["Slumdog Millionaire", 2008, 7.724, 120, ['drama', 'melodrama'], 15.0, 377.910544],
  12.     ["No Country for Old Men", 2007, 7.726, 122, ['thriller', 'drama', 'crime'], 25.0, 171.627166],
  13.     ["The Departed", 2006, 8.456, 151, ['thriller', 'drama', 'crime'], 90.0, 289.847354],
  14.     ["Crash", 2004, 7.896, 108, ['thriller', 'drama', 'crime'], 6.5, 98.410061],
  15.     ["Million Dollar Baby", 2004, 8.075, 132, ['drama', 'sport'], 30.0, 216.763646],
  16.     ["The Lord of the Rings: Return of the King", 2003, 8.617, 201, ['fantasy', 'drama', 'adventure'], 94.0, 1119.110941],
  17.     ["Chicago", 2002, 7.669, 113, ['musical', 'comedy', 'crime'], 45.0, 306.776732],
  18.     ['A Beautiful Mind', 2001, 8.557, 135, ['drama', 'biography', 'melodrama'], 58.0, 313.542341],
  19.     ["Gladiator", 2000, 8.585, 155, ['action', 'drama', 'adventure'], 103.0, 457.640427],
  20.     ["American Beauty", 1999, 7.965, 122, ['drama'], 15.0, 356.296601],
  21.     ["Shakespeare in Love", 1998, 7.452, 123, ['drama', 'melodrama', 'comedy', 'history'], 25.0, 289.317794],
  22.     ["Titanic", 1997, 8.369, 194, ['drama', 'melodrama'], 200.0, 2185.372302],
  23.     ["The English Patient", 1996, 7.849, 155, ['drama', 'melodrama', 'war'], 27.0, 231.976425],
  24.     ["Braveheart", 1995, 8.283, 178, ['drama', 'war', 'biography', 'history'], 72.0, 210.409945],
  25.     ["Forrest Gump", 1994, 8.915, 142, ['drama', 'melodrama'], 55.0, 677.386686],
  26.     ["Schindler\'s List", 1993, 8.819, 195, ['drama', 'biography', 'history'], 22.0, 321.265768],
  27.     ["Unforgiven", 1992, 7.858, 131, ['drama', 'western'], 14.4, 159.157447],
  28.     ["Silence of the Lambs", 1990, 8.335, 114, ['thriller', 'crime', 'mystery', 'drama', 'horror'], 19.0, 272.742922],
  29.     ["Dances with Wolves", 1990, 8.112, 181, ['drama', 'adventure', 'western'], 22.0, 424.208848],
  30.     ["Driving Miss Daisy", 1989, 7.645, 99, ['drama'], 7.5, 145.793296],
  31.     ["Rain Man", 1988, 8.25, 133, ['drama'], 25.0, 354.825435],
  32. ]
  33.  
  34. def filter_first_decade(data):
  35.     result = []
  36.     for row in data:
  37.         year = row[1]
  38.         if year >= 2000 and year <= 2010:
  39.             result.append(row)
  40.     return result
  41.  
  42.  
  43. def print_table(data):
  44.     print('Title                            | Year  | Rating | Length | Budget | Box office gross  |')
  45.     print('--------------------------------------------------------------------------------')
  46.     for row in data:
  47.         print('{: <35} | {} | {: >7.2f} | {: >5} | {: >6.1f} | {: >6.1f} |'.format(
  48.             row[0], row[1], row[2], row[3], row[5], row[6]))
  49.        
  50. filtered_data = filter_first_decade(oscar_data)
  51. print_table(filtered_data)
RAW Paste Data
We use cookies for various purposes including analytics. By continuing to use Pastebin, you agree to our use of cookies as described in the Cookies Policy. OK, I Understand
Top