完成 q4_1 柱状图

q3/q3_3_质量自评.md

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+# 标注质量自评报告
+## 一、标注前准备
+标注前我制定了清晰的标注规范：以文本核心情感倾向为判定依据，“正面”标签适用于含正向评价（如“配送快、味道好”）的评论，“负面”标签适用于含负面评价（如“超时、口感差”）的评论，中性表述不影响核心情感判定。同时参考了8条已标注的外卖评论示例，熟悉标签判定边界，确保标注标准统一且可落地。
+
+## 二、标注过程
+标注中遇到的核心困难是部分评论存在情感混合表述（如“配送慢但菜品新鲜”）。我通过“核心诉求优先”原则解决：聚焦用户主要评价点判定情感倾向；对2条不确定的标注内容，反复通读文本并标注关键评价词，结合“是否有推荐/吐槽倾向”辅助判定，确保标注逻辑一致。
+
+## 三、标注后检查
+标注完成后，我先逐行核对5条评论的id、text、sentiment字段完整性，再将标注结果导出为JSON后重新导入系统，对比前后数据无差异；同时随机抽取3条评论二次标注，两次结果完全一致，确认标注无错误。

q4/q4_1/movies.json

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+{
+    "data_code": "B-20260705-9162",
+    "movies": [
+        {
+            "id": 1,
+            "title": "放牛班的春天",
+            "director": "Frank Darabont",
+            "year": 2007,
+            "rating": 8.9,
+            "duration": 155,
+            "genre": "悬疑",
+            "actors_count": 5
+        },
+        {
+            "id": 2,
+            "title": "霸王别姬",
+            "director": "陈凯歌",
+            "year": 2018,
+            "rating": 6.6,
+            "duration": 143,
+            "genre": "剧情",
+            "actors_count": 4
+        },
+        {
+            "id": 3,
+            "title": "星际穿越",
+            "director": "Robert Zemeckis",
+            "year": 2018,
+            "rating": 8.4,
+            "duration": 165,
+            "genre": "悬疑",
+            "actors_count": 5
+        },
+        {
+            "id": 4,
+            "title": "肖申克的救赎",
+            "director": "James Cameron",
+            "year": 2008,
+            "rating": 8.6,
+            "duration": 124,
+            "genre": "剧情",
+            "actors_count": 5
+        },
+        {
+            "id": 5,
+            "title": "盗梦空间",
+            "director": "宫崎骏",
+            "year": 1993,
+            "rating": 7.8,
+            "duration": 90,
+            "genre": "爱情",
+            "actors_count": 2
+        },
+        {
+            "id": 6,
+            "title": "泰坦尼克号",
+            "director": "Christopher Nolan",
+            "year": 2001,
+            "rating": 6.7,
+            "duration": 175,
+            "genre": "喜剧",
+            "actors_count": 4
+        },
+        {
+            "id": 7,
+            "title": "忠犬八公的故事",
+            "director": "Lasse Hallström",
+            "year": 2004,
+            "rating": 8.2,
+            "duration": 91,
+            "genre": "动画",
+            "actors_count": 3
+        },
+        {
+            "id": 8,
+            "title": "三傻大闹宝莱坞",
+            "director": "Rajkumar Hirani",
+            "year": 2011,
+            "rating": 6.3,
+            "duration": 175,
+            "genre": "冒险",
+            "actors_count": 3
+        },
+        {
+            "id": 9,
+            "title": "阿甘正传",
+            "director": "Christophe Barratier",
+            "year": 2022,
+            "rating": 7.9,
+            "duration": 107,
+            "genre": "动画",
+            "actors_count": 4
+        },
+        {
+            "id": 10,
+            "title": "千与千寻",
+            "director": "Christopher Nolan",
+            "year": 1993,
+            "rating": 7.2,
+            "duration": 129,
+            "genre": "悬疑",
+            "actors_count": 3
+        }
+    ]
+}

q4/q4_1/q4_1.py

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+# q4_1.py
+import json
+import matplotlib.pyplot as plt
+from collections import Counter
+
+# 读取上级目录的 movies.json
+with open("../q4_2/movies.json", "r", encoding="utf-8") as f:
+    data = json.load(f)
+
+movies = data["movies"]
+
+# 统计每个类型有多少部电影
+genres = [m["genre"] for m in movies]
+genre_count = Counter(genres)
+
+# X轴：类型名称  Y轴：数量
+x = list(genre_count.keys())
+y = list(genre_count.values())
+
+# 绘制柱状图
+plt.bar(x, y)
+
+# 标题
+plt.title("类型电影数量分布")
+
+# 保存图片
+plt.savefig("q4_1_bar.png", dpi=150)
+plt.close()
+
+print("✅ q4_1 柱状图完成！已生成 q4_1_bar.png")

q4/q4_2/movies.json

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+{
+    "data_code": "B-20260705-9162",
+    "movies": [
+        {
+            "id": 1,
+            "title": "放牛班的春天",
+            "director": "Frank Darabont",
+            "year": 2007,
+            "rating": 8.9,
+            "duration": 155,
+            "genre": "悬疑",
+            "actors_count": 5
+        },
+        {
+            "id": 2,
+            "title": "霸王别姬",
+            "director": "陈凯歌",
+            "year": 2018,
+            "rating": 6.6,
+            "duration": 143,
+            "genre": "剧情",
+            "actors_count": 4
+        },
+        {
+            "id": 3,
+            "title": "星际穿越",
+            "director": "Robert Zemeckis",
+            "year": 2018,
+            "rating": 8.4,
+            "duration": 165,
+            "genre": "悬疑",
+            "actors_count": 5
+        },
+        {
+            "id": 4,
+            "title": "肖申克的救赎",
+            "director": "James Cameron",
+            "year": 2008,
+            "rating": 8.6,
+            "duration": 124,
+            "genre": "剧情",
+            "actors_count": 5
+        },
+        {
+            "id": 5,
+            "title": "盗梦空间",
+            "director": "宫崎骏",
+            "year": 1993,
+            "rating": 7.8,
+            "duration": 90,
+            "genre": "爱情",
+            "actors_count": 2
+        },
+        {
+            "id": 6,
+            "title": "泰坦尼克号",
+            "director": "Christopher Nolan",
+            "year": 2001,
+            "rating": 6.7,
+            "duration": 175,
+            "genre": "喜剧",
+            "actors_count": 4
+        },
+        {
+            "id": 7,
+            "title": "忠犬八公的故事",
+            "director": "Lasse Hallström",
+            "year": 2004,
+            "rating": 8.2,
+            "duration": 91,
+            "genre": "动画",
+            "actors_count": 3
+        },
+        {
+            "id": 8,
+            "title": "三傻大闹宝莱坞",
+            "director": "Rajkumar Hirani",
+            "year": 2011,
+            "rating": 6.3,
+            "duration": 175,
+            "genre": "冒险",
+            "actors_count": 3
+        },
+        {
+            "id": 9,
+            "title": "阿甘正传",
+            "director": "Christophe Barratier",
+            "year": 2022,
+            "rating": 7.9,
+            "duration": 107,
+            "genre": "动画",
+            "actors_count": 4
+        },
+        {
+            "id": 10,
+            "title": "千与千寻",
+            "director": "Christopher Nolan",
+            "year": 1993,
+            "rating": 7.2,
+            "duration": 129,
+            "genre": "悬疑",
+            "actors_count": 3
+        }
+    ]
+}

q4/q4_2/q4_2.py

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+# q4_2.py
+import json
+import matplotlib.pyplot as plt
+
+# 1. 读取文件
+with open("movies.json", "r", encoding="utf-8") as f:
+    data = json.load(f)
+
+# 2. 安全提取电影列表
+if type(data) is dict and "movies" in data:
+    movies = data["movies"]
+else:
+    movies = []
+
+# 3. 准备数据
+x_data = []
+y_data = []
+
+for item in movies:
+    # 这一行彻底防止报错
+    if type(item) is dict:
+        x_data.append(item["duration"])
+        y_data.append(item["rating"])
+
+# 4. 画图（题目全部要求）
+plt.scatter(x_data, y_data, color="red", alpha=0.6)
+plt.title("时长与评分关系散点图")
+plt.xlabel("时长（分钟）")
+plt.ylabel("评分")
+plt.savefig("q4_2_scatter.png", dpi=150)
+plt.close()
+
+print("运行成功！")

q4/q4_3a/movies.json

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+{
+    "data_code": "B-20260705-9162",
+    "movies": [
+        {
+            "id": 1,
+            "title": "放牛班的春天",
+            "director": "Frank Darabont",
+            "year": 2007,
+            "rating": 8.9,
+            "duration": 155,
+            "genre": "悬疑",
+            "actors_count": 5
+        },
+        {
+            "id": 2,
+            "title": "霸王别姬",
+            "director": "陈凯歌",
+            "year": 2018,
+            "rating": 6.6,
+            "duration": 143,
+            "genre": "剧情",
+            "actors_count": 4
+        },
+        {
+            "id": 3,
+            "title": "星际穿越",
+            "director": "Robert Zemeckis",
+            "year": 2018,
+            "rating": 8.4,
+            "duration": 165,
+            "genre": "悬疑",
+            "actors_count": 5
+        },
+        {
+            "id": 4,
+            "title": "肖申克的救赎",
+            "director": "James Cameron",
+            "year": 2008,
+            "rating": 8.6,
+            "duration": 124,
+            "genre": "剧情",
+            "actors_count": 5
+        },
+        {
+            "id": 5,
+            "title": "盗梦空间",
+            "director": "宫崎骏",
+            "year": 1993,
+            "rating": 7.8,
+            "duration": 90,
+            "genre": "爱情",
+            "actors_count": 2
+        },
+        {
+            "id": 6,
+            "title": "泰坦尼克号",
+            "director": "Christopher Nolan",
+            "year": 2001,
+            "rating": 6.7,
+            "duration": 175,
+            "genre": "喜剧",
+            "actors_count": 4
+        },
+        {
+            "id": 7,
+            "title": "忠犬八公的故事",
+            "director": "Lasse Hallström",
+            "year": 2004,
+            "rating": 8.2,
+            "duration": 91,
+            "genre": "动画",
+            "actors_count": 3
+        },
+        {
+            "id": 8,
+            "title": "三傻大闹宝莱坞",
+            "director": "Rajkumar Hirani",
+            "year": 2011,
+            "rating": 6.3,
+            "duration": 175,
+            "genre": "冒险",
+            "actors_count": 3
+        },
+        {
+            "id": 9,
+            "title": "阿甘正传",
+            "director": "Christophe Barratier",
+            "year": 2022,
+            "rating": 7.9,
+            "duration": 107,
+            "genre": "动画",
+            "actors_count": 4
+        },
+        {
+            "id": 10,
+            "title": "千与千寻",
+            "director": "Christopher Nolan",
+            "year": 1993,
+            "rating": 7.2,
+            "duration": 129,
+            "genre": "悬疑",
+            "actors_count": 3
+        }
+    ]
+}

q4/q4_3a/q4_3a.py

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+# q4_3a.py
+import json
+import matplotlib.pyplot as plt
+
+# 读取数据
+with open("movies.json", "r", encoding="utf-8") as f:
+    data = json.load(f)
+
+movies = data["movies"]
+
+# 提取评分
+ratings = []
+for m in movies:
+    ratings.append(m["rating"])
+
+# 绘制直方图
+plt.hist(ratings, bins=5, color="blue")
+plt.title("评分分布")
+plt.xlabel("评分")
+
+# 保存图片
+plt.savefig("q4_3a_hist.png", dpi=150)
+plt.close()
+
+print("✅ q4_3a 完成！")

q4/q4_3b/movies.json

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+{
+    "data_code": "B-20260705-9162",
+    "movies": [
+        {
+            "id": 1,
+            "title": "放牛班的春天",
+            "director": "Frank Darabont",
+            "year": 2007,
+            "rating": 8.9,
+            "duration": 155,
+            "genre": "悬疑",
+            "actors_count": 5
+        },
+        {
+            "id": 2,
+            "title": "霸王别姬",
+            "director": "陈凯歌",
+            "year": 2018,
+            "rating": 6.6,
+            "duration": 143,
+            "genre": "剧情",
+            "actors_count": 4
+        },
+        {
+            "id": 3,
+            "title": "星际穿越",
+            "director": "Robert Zemeckis",
+            "year": 2018,
+            "rating": 8.4,
+            "duration": 165,
+            "genre": "悬疑",
+            "actors_count": 5
+        },
+        {
+            "id": 4,
+            "title": "肖申克的救赎",
+            "director": "James Cameron",
+            "year": 2008,
+            "rating": 8.6,
+            "duration": 124,
+            "genre": "剧情",
+            "actors_count": 5
+        },
+        {
+            "id": 5,
+            "title": "盗梦空间",
+            "director": "宫崎骏",
+            "year": 1993,
+            "rating": 7.8,
+            "duration": 90,
+            "genre": "爱情",
+            "actors_count": 2
+        },
+        {
+            "id": 6,
+            "title": "泰坦尼克号",
+            "director": "Christopher Nolan",
+            "year": 2001,
+            "rating": 6.7,
+            "duration": 175,
+            "genre": "喜剧",
+            "actors_count": 4
+        },
+        {
+            "id": 7,
+            "title": "忠犬八公的故事",
+            "director": "Lasse Hallström",
+            "year": 2004,
+            "rating": 8.2,
+            "duration": 91,
+            "genre": "动画",
+            "actors_count": 3
+        },
+        {
+            "id": 8,
+            "title": "三傻大闹宝莱坞",
+            "director": "Rajkumar Hirani",
+            "year": 2011,
+            "rating": 6.3,
+            "duration": 175,
+            "genre": "冒险",
+            "actors_count": 3
+        },
+        {
+            "id": 9,
+            "title": "阿甘正传",
+            "director": "Christophe Barratier",
+            "year": 2022,
+            "rating": 7.9,
+            "duration": 107,
+            "genre": "动画",
+            "actors_count": 4
+        },
+        {
+            "id": 10,
+            "title": "千与千寻",
+            "director": "Christopher Nolan",
+            "year": 1993,
+            "rating": 7.2,
+            "duration": 129,
+            "genre": "悬疑",
+            "actors_count": 3
+        }
+    ]
+}

q4/q4_3b/q4_3b.py

@@ -0,0 +1,21 @@
+# q4_3b.py
+import json
+import matplotlib.pyplot as plt
+
+with open("../q4_2/movies.json", "r", encoding="utf-8") as f:
+    data = json.load(f)
+
+movies = data["movies"]
+
+durations = []
+for m in movies:
+    durations.append(m["duration"])
+
+plt.hist(durations, bins=5, color="green")
+plt.title("时长分布")
+plt.xlabel("时长（分钟）")
+
+plt.savefig("q4_3b_hist.png", dpi=150)
+plt.close()
+
+print("✅ 时长直方图生成成功！")