challenge

Author: Calvin Gutierrez

days/04-06-collections/challenge.py

@@ -0,0 +1,35 @@
+import csv
+from collections import defaultdict, namedtuple
+import os
+from urllib.request import urlretrieve
+
+movie_data = 'https://raw.githubusercontent.com/pybites/challenges/solutions/13/movie_metadata.csv'
+movie_csv = 'movie.csv'
+urlretrieve(movie_data, movie_csv)
+Movie = namedtuple('Movie', 'title year score')
+
+
+def get_movies_by_director(data=movie_csv):
+    """Extracts all movies from csv and stores them in a dictionary
+       where keys are directors, and values is a list of movies (named tuples)"""
+    directors = defaultdict(list)
+    with open(data, encoding='utf-8') as file:
+        for line in csv.DictReader(file):
+            pass
+
+
+
+
+# def calc_mean_score(movies):
+#     """Helper method to calculate mean of list of Movie namedtuples,
+#        round the mean to 1 decimal place"""
+#     pass
+#
+#
+# def get_average_scores(directors):
+#     """Iterate through the directors dict (returned by get_movies_by_director),
+#        return a list of tuples (director, average_score) ordered by highest
+#        score in descending order. Only take directors into account
+#        with >= MIN_MOVIES"""
+#     pass
+get_movies_by_director()