上传文件至 /

1.py

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+import json
+import matplotlib.pyplot as plt
+
+movies = json.load(open('movies.json', encoding='utf-8'))['movies']
+# print(movies)
+genres = {}
+for m in movies:
+    g = m['genre']
+    if g in genres:
+        genres[g] = genres[g] + 1
+    else:
+        genres[g] = 1
+print(genres)
+plt.figure(figsize=(8,5))
+plt.bar(genres.keys(), genres.values())
+plt.title('类型电影数量分布')
+plt.xlabel('类型')
+plt.ylabel('数量')
+plt.savefig('q4_1_bar.png', dpi=150)

2.py

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+import json
+import matplotlib.pyplot as plt
+
+movies = json.load(open('movies.json', encoding='utf-8'))['movies']
+# print(movies)
+ratings = []
+durations = []
+for m in movies:
+    ratings.append(m['rating'])
+    durations.append(m['duration'])
+
+plt.figure(figsize=(8,5))
+plt.scatter(durations,ratings,color='red',alpha=0.6)
+plt.title('时长与评分关系散点图')
+plt.xlabel('duration')
+plt.ylabel('rating')
+plt.savefig('q4_2_scatter.png', dpi=150)

4.py

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+import json
+
+# 读取生成好的电影文件
+with open("movies.json", "r", encoding="utf-8") as f:
+    data = json.load(f)
+movie_list = data["movies"]
+
+if len(movie_list) == 0:
+    print("❌ 未抓取到任何电影数据，请先运行pachong.py！")
+else:
+    # ① 找出评分最高、最低电影
+    sorted_movies = sorted(movie_list, key=lambda x: x["rating"])
+    lowest_movie = sorted_movies[0]
+    highest_movie = sorted_movies[-1]
+    print("\n① 评分最高&最低电影：")
+    print(f"评分最低：{lowest_movie['title']} {lowest_movie['rating']}")
+    print(f"评分最高：{highest_movie['title']} {highest_movie['rating']}")
+
+    # ② 统计各类型电影数量（字典输出）
+    genre_count = {}
+    for m in movie_list:
+        g = m["genre"]
+        genre_count[g] = genre_count.get(g, 0) + 1
+    print("\n② 各类型电影数量：", genre_count)
+
+    # ③ 统计各导演电影数量（字典输出）
+    director_count = {}
+    for m in movie_list:
+        d = m["director"]
+        director_count[d] = director_count.get(d, 0) + 1
+    print("\n③ 各导演电影数量：", director_count)
+
+    # ④ 统计2020年（含）以后上映电影
+    count_2020 = 0
+    for m in movie_list:
+        if m["year"] >= 2020:
+            count_2020 += 1
+    print(f"\n④ 2020年(含)后上映电影总数：{count_2020}")