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Nov 8th, 2019
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  1. def best_n_category(movie_list, movie_key):
  2. rand_dict = []
  3. year = {}
  4. thing ={}
  5. ratings = []
  6. rows = bucket_count(movie_list, movie_key)
  7. thing = bucketize(movie_list, movie_key)
  8. for key in rows:
  9. year = key
  10. median_rating = 0
  11. count = 0
  12. count = rows[key]
  13. for i in range(count):
  14. val = thing[key][i]["rating"]
  15. ratings.append(val)
  16. median_rating = statistics.median(ratings)
  17. rand_dict.append({'category': year, 'rating': median_rating, 'count': count})
  18. ratings.clear()
  19. return rand_dict
  20.  
  21. def ranking(row):
  22. return row["rating"]
  23.  
  24. best_did = best_n_category(movies, "year")
  25. best_did.sort(key=ranking, reverse=True)
  26.  
  27. best_did[:10]
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