|
| 1 | +import csv |
| 2 | +from collections import defaultdict, namedtuple, OrderedDict, ChainMap |
| 3 | +from pprint import pprint |
| 4 | + |
| 5 | +MOVIE_DATA = "movie_metadata.csv" |
| 6 | +NUM_TOP_DIRECTORS = 20 |
| 7 | +MIN_MOVIES = 4 |
| 8 | +MIN_YEAR = 1960 |
| 9 | +Movie = namedtuple("Movie", "title year score") |
| 10 | + |
| 11 | + |
| 12 | +def get_movies_by_director(): |
| 13 | + """Extracts all movies from csv and stores them in a dictionary |
| 14 | + where keys are directors, and values is a list of movies (named tuples)""" |
| 15 | + with open(MOVIE_DATA, "r", encoding="utf-8") as f: |
| 16 | + reader = csv.DictReader(f) |
| 17 | + d = defaultdict(list) |
| 18 | + for row in reader: |
| 19 | + director = row["director_name"] |
| 20 | + title = row["movie_title"].replace("\xa0", "") |
| 21 | + year = row["title_year"] |
| 22 | + score = float(row["imdb_score"]) |
| 23 | + if director: |
| 24 | + d[director].append(Movie(title=title, year=year, score=score)) |
| 25 | + return d |
| 26 | + |
| 27 | + |
| 28 | +def get_average_scores(directors): |
| 29 | + """Filter directors with < MIN_MOVIES and calculate averge score""" |
| 30 | + fd, dd = {}, {} |
| 31 | + Movie = namedtuple("Movie", "score movies") |
| 32 | + for k, v in directors.items(): |
| 33 | + if len(v) > MIN_MOVIES: |
| 34 | + score = _calc_mean(v) |
| 35 | + fd[k] = Movie(score=score, movies=v) |
| 36 | + sd = OrderedDict( |
| 37 | + {k: v for k, v in sorted(fd.items(), key=lambda x: x[1][0], reverse=True)} |
| 38 | + ) |
| 39 | + return sd |
| 40 | + |
| 41 | + |
| 42 | +def _calc_mean(movies): |
| 43 | + """Helper method to calculate mean of list of Movie namedtuples""" |
| 44 | + score = 0 |
| 45 | + for i in movies: |
| 46 | + score += i.score |
| 47 | + return round(score / len(movies), 1) |
| 48 | + |
| 49 | + |
| 50 | +def print_results(directors): |
| 51 | + """Print directors ordered by highest average rating. For each director |
| 52 | + print his/her movies also ordered by highest rated movie. |
| 53 | + See http://pybit.es/codechallenge13.html for example output""" |
| 54 | + fmt_director_entry = "{counter:02}. {director:<52} {avg}" |
| 55 | + fmt_movie_entry = "{year} {title:<50} {score}" |
| 56 | + sep_line = "-" * 60 |
| 57 | + for count, (director, movies) in enumerate(directors.items(), 1): |
| 58 | + print(fmt_director_entry.format(counter=count, director=director, avg=movies.score)) |
| 59 | + print(sep_line) |
| 60 | + for title, year, score in sorted( |
| 61 | + movies.movies, key=lambda x: x[2], reverse=True |
| 62 | + ): |
| 63 | + print(fmt_movie_entry.format(year=year, title=title, score=score)) |
| 64 | + print("\n") |
| 65 | + |
| 66 | + |
| 67 | +def main(): |
| 68 | + """This is a template, feel free to structure your code differently. |
| 69 | + We wrote some tests based on our solution: test_directors.py""" |
| 70 | + directors = get_movies_by_director() |
| 71 | + directors = get_average_scores(directors) |
| 72 | + print_results(directors) |
| 73 | + |
| 74 | + |
| 75 | +if __name__ == "__main__": |
| 76 | + main() |
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