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2.py

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+import json
+from collections import defaultdict
+
+# 读取数据
+with open("movies.json", "r", encoding="utf-8") as f:
+    data = json.load(f)
+movies = data.get("movies", [])
+
+# ① 找出评分最高和最低的电影
+if movies:
+    # 按rating排序，处理可能的空值
+    sorted_by_rating = sorted(movies, key=lambda x: float(x["rating"]) if x["rating"] else 0)
+    lowest = sorted_by_rating[0]
+    highest = sorted_by_rating[-1]
+    print("评分最低：", lowest["title"], lowest["rating"])
+    print("评分最高：", highest["title"], highest["rating"])
+else:
+    print("无电影数据")
+
+# ② 统计各类型的电影数量（注意genre可能是列表或字符串，这里按常见的逗号分隔处理）
+genre_count = defaultdict(int)
+for movie in movies:
+    genres = movie["genre"]
+    # 如果genre是字符串，按逗号分割；如果是列表，直接遍历
+    if isinstance(genres, str):
+        genres = [g.strip() for g in genres.split(",")]
+    for g in genres:
+        genre_count[g] += 1
+print("\n各类型电影数量：", dict(genre_count))
+
+# ③ 统计各导演的电影数量
+director_count = defaultdict(int)
+for movie in movies:
+    director = movie["director"]
+    director_count[director] += 1
+print("\n各导演电影数量：", dict(director_count))
+
+# ④ 统计2020年（含）以后上映的电影数量
+count_2020 = 0
+for movie in movies:
+    year = movie["year"]
+    if isinstance(year, (int, float)) and year >= 2020:
+        count_2020 += 1
+    elif isinstance(year, str) and year.isdigit() and int(year) >= 2020:
+        count_2020 += 1
+print(f"\n2020年（含）以后上映的电影数量：{count_2020}")