├── 1-Data_Collection ├── 艺恩电影票房采集 │ └── yien.py └── 豆瓣电影采集 │ ├── Movie.py │ ├── douban.com.py │ └── login.png ├── 2-Data_Source ├── douban.csv ├── yien1.csv ├── yien2.csv └── 数据模糊匹配.ipynb ├── 3-Data_Cleaning ├── movies_all.csv ├── movies_half.csv └── 数据清洗.ipynb ├── 4-Data_Analysis ├── 不同类型电影的平均时长.ipynb ├── 不同类型电影的平均票房.ipynb ├── 不同类型电影的平均评分.ipynb ├── 不同类型电影的总发行数量.ipynb ├── 不同类型电影的总发行数量占比.ipynb ├── 不同类型电影的总票房.ipynb ├── 总票房最高的10名导演.ipynb ├── 总票房最高的10名演员.ipynb ├── 总票房最高的10名编剧.ipynb ├── 总票房最高的10所制片公司.ipynb ├── 总票房最高的10所发行公司.ipynb ├── 所有电影时长频数分布.ipynb ├── 每年不同类型电影的发行数量与票房.ipynb ├── 每年电影的平均评分.ipynb ├── 电影平均评分最高的10名导演.ipynb ├── 电影平均评分最高的10名演员.ipynb ├── 电影平均评分最高的10名编剧.ipynb └── 票房与评分的关系.ipynb └── 5-Data_Model ├── dadas ├── MovieBoxOffiice.csv ├── MovieBoxOffiice.json ├── MovieSoure.csv └── MovieSoure.json ├── 票房预测模型.ipynb └── 评分预测模型.ipynb /1-Data_Collection/艺恩电影票房采集/yien.py: -------------------------------------------------------------------------------- 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