November 2023
Intermediate to advanced
512 pages
11h 53m
Chinese
Content preview from 利用 Python 进行数据分析：原书第 3 版
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数据分析案例
|
409
对排序结果做逆序，再次取出前
10
行，得到的则是男性观众更喜欢的电影：
如果只是想找出分歧最大的电影，不考虑性别因素。分歧可以用方差或标准差测量。要
这么做，首先计算按照电影名的评分标准差，然后对电影名进行过滤：
接着，进行降序排列并选取前
10
行，这大概就是分歧最大的
10
部电影：
可能你已经注意到了，电影分类是以管道分隔（|）字符串形式给出的，因为一部电影可
能属于多个分类。如果按电影分类对评分数据进行分组的话，可以在
DataFrame
上使用
explode 方法。来看看如何使用。首先，在
Series
上使用 str.split 方法将分类字符串
分割为分类列表：
410
|
第
13
章
而后，调用 movies.explode("genre") 生成一个新
DataFrame
，其中的行对应各个电影
种类列表的各个“内层”元素。例如，如果一部电影被分类为既是喜剧也是爱情电影，
则结果中就会有两行，一行只是 "Comedy"，另一行只是 "Romance"：
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