完成期末练习

q4/q4_1/q4_1.py

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+import matplotlib.pyplot as plt
+import json
+
+
+with open(r'D:\桌面\期末考试\simulated-examination\q2_1_crawler\movie.json', 'r', encoding='utf-8') as f:
+    data=json.load(f)
+    # print(data)
+    
+genre_shu={}
+for g in data:
+    ge=g["genre"]
+    if ge in genre_shu:
+        genre_shu[ge]+=1
+    else:
+        genre_shu[ge]=1
+# print("各类型的电影数量",genre_shu)
+
+genre_lei=list(genre_shu.keys())
+genre_liang=list(genre_shu.values())
+
+print(genre_liang)
+
+plt.figure(figsize=(14, 12))
+plt.bar(genre_lei,  genre_liang,      
+        width=0.6)            
+      
+# 标题和标签
+plt.title('类型电影数量分布', fontsize=14)
+plt.xlabel('类型名称', fontsize=12)
+plt.ylabel('电影数量', fontsize=12)
+
+
+import os
+save_path = os.path.join(os.path.dirname(__file__),"q4_1_bar.png")
+plt.savefig(save_path, dpi=150,format='png')
+plt.show()
+
+
+
+#with open('movie.json', 'r', encoding='utf-8') as f:

q4/q4_2/q4_2.py

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+import matplotlib.pyplot as plt
+import json
+
+rating=[]
+duration=[]
+
+with open(r'D:\桌面\期末考试\simulated-examination\q2_1_crawler\movie.json', 'r', encoding='utf-8') as f:
+    data=json.load(f)
+    # print(data)
+    for i in data:
+        rating.append(i["rating"])
+        duration.append(i["duration"])
+plt.figure(figsize=(12, 8))
+plt.scatter(duration, rating,
+            c='red',
+            s=80,                      # 点的大小
+            alpha=0.6,                 # 透明度
+            edgecolors='white')         # 点的边框
+plt.title('时长与评分关系散点图', fontsize=14)
+plt.xlabel('时长', fontsize=12)
+plt.ylabel('评分', fontsize=12)
+plt.grid(True, linestyle='--', alpha=0.5)
+
+
+import os
+save_path = os.path.join(os.path.dirname(__file__),"q4_2_scatter.png")
+plt.savefig(save_path, dpi=150,format='png')
+plt.show()

q4/q4_3a/q4_3a.py

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+import matplotlib.pyplot as plt
+import json
+
+rating=[]
+
+with open(r'D:\桌面\期末考试\simulated-examination\q2_1_crawler\movie.json', 'r', encoding='utf-8') as f:
+    data=json.load(f)
+    # print(data)
+    for i in data:
+        rating.append(i["rating"])
+
+plt.figure(figsize=(12,8))
+plt.hist(rating,                     # 数据
+         bins=10,                    # 分成几个柱子
+         color='#3498DB',            # 颜色
+         edgecolor='white')          # 柱子边框颜色
+plt.title('评分分布', fontsize=14)
+plt.xlabel('评分', fontsize=13)
+plt.grid(True, linestyle='--', alpha=0.5, axis='y')
+
+import os
+save_path = os.path.join(os.path.dirname(__file__),"q4_3a_hist.png")
+plt.savefig(save_path, dpi=150,format='png')
+plt.show()

q4/q4_3b/q4_3b.py

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+import matplotlib.pyplot as plt
+import json
+duration=[]
+
+with open(r'D:\桌面\期末考试\simulated-examination\q2_1_crawler\movie.json', 'r', encoding='utf-8') as f:
+    data=json.load(f)
+    # print(data)
+    for i in data:
+       duration.append(i["duration"])
+
+plt.figure(figsize=(12,8))
+plt.hist( duration,                     # 数据
+         bins=10,                    # 分成几个柱子
+         color='#3498DB',            # 颜色
+         edgecolor='white')          # 柱子边框颜色
+plt.title('时长分布', fontsize=14)
+plt.xlabel('时长（分钟）', fontsize=13)
+plt.grid(True, linestyle='--', alpha=0.5, axis='y')
+
+
+import os
+save_path = os.path.join(os.path.dirname(__file__),"q4_3b_hist.png")
+plt.savefig(save_path, dpi=150,format='png')
+plt.show()