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
|
421
个字母的分布发生了显著变化。为了了解具体情况，我首先将全部出生数据按照年度、
性别以及末字母进行聚合：
我选出其中具有代表性的三年，并打印前几行：
接下来，按出生总数对该表进行标准化处理，以便计算出一个新表格，其中包含每个字
母结尾的性别占总出生人数的比例：
422
|
第
13
章
有了这个字母比例数据之后，就可以生成一张各年度各性别的柱状图了（如图
13-8
所 示 ）：
图 13-8：男孩女孩名字中各个末字母的比例
可以看出，从
20
世纪
60
年代开始，以字母“
n
”结尾的男孩名字出现了显著增长。回
到之前创建的完整表格，按年度和性别对其进行标准化处理，并在男孩名字中选取几个
数据分析案例
|
423
字母的子集，最后进行转置以便将各列转换成时间序列：
有了这个时间序列的
DataFrame
之后，就可以通过其plot 方法绘制趋势图了（如
图
13-9
所 示 ）：
图 13-9：各年出生的男孩中，名字以 d/n/y 结尾的人数比例
变成女孩名字的男孩名字（以及相反的情况）
另一个有趣的趋势是早年流行于样本中某个性别的名字近年来“变性了” ...
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