55 lines
1.7 KiB
Python
55 lines
1.7 KiB
Python
import json
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from collections import defaultdict
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# 读取json文件
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with open("movies.json", "r", encoding="utf-8") as f:
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movies = json.load(f)
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# ① 找出评分最高、最低电影
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def get_rating_extreme():
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# 按rating排序
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sorted_movies = sorted(movies, key=lambda x: x["rating"])
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lowest = sorted_movies[0]
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highest = sorted_movies[-1]
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print("=== ① 评分极值 ===")
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print(f"评分最低电影：{lowest['title']}，评分：{lowest['rating']}")
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print(f"评分最高电影：{highest['title']}，评分：{highest['rating']}")
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return highest, lowest
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# ② 统计各类型电影数量（genre为列表，拆分统计）
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def count_genre():
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genre_count = defaultdict(int)
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for movie in movies:
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genres = movie["genre"]
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for g in genres:
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genre_count[g] += 1
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print("\n=== ② 各类型电影数量（字典格式）===")
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print(dict(genre_count))
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return dict(genre_count)
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# ③ 统计各导演电影数量
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def count_director():
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dir_count = defaultdict(int)
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for movie in movies:
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d = movie["director"]
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dir_count[d] += 1
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print("\n=== ③ 各导演电影数量（字典格式）===")
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print(dict(dir_count))
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return dict(dir_count)
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# ④ 统计2020年（含）以后上映电影数量
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def count_after_2020():
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cnt = 0
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for movie in movies:
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if movie["year"] >= 2020:
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cnt += 1
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print("\n=== ④ 2020年（含）后上映电影数量 ===")
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print(f"总数：{cnt}")
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return cnt
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# 执行全部分析逻辑
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if __name__ == "__main__":
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get_rating_extreme()
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count_genre()
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count_director()
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count_after_2020() |